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National Aeronautics and Space Administration




             Ames Research Center
                  SBIR/STTR
            Technology Investments
                 January 2012



www.nasa.gov
SBIR/STTR
Foreword

                                                                      The Small Business Innovation Research (SBIR) Program
This technology portfolio highlights new innovations developed        provides opportunities for small, high technology companies to
via SBIR and STTR Phase II contracts that are managed by              participate in Government sponsored research and development
subject matter experts at Ames Research Center. Included is a         (R&D) efforts in key technology areas.
brief description of the research and development efforts ending in
                                                                      This program provides significant sources of seed funding for the
December of 2010, or ongoing through 2013. These technologies
                                                                      development of innovations. *Current SBIR Phase I contracts last
have created partnership opportunities between small businesses
                                                                      for 6 months with a maximum funding of $125,000, and Phase II
and NASA. NASA’s goal is to encourage program and project
                                                                      contracts last for 24 months with a maximum funding of $750,000.
managers, prime contractors, and others to make use of these
new technologies under development by the SBIR/STTR Program           The STTR Program awards contracts to small business concerns
community to leverage their own efforts. All abstracts for these      (SBC’s) for cooperative research and development with a
technologies can be found online at www.sbir.nasa.gov.                nonprofit research institution (RI), such as a university. The STTR
                                                                      *Phase I contract is an opportunity to establish the feasibility and
Please note, if program or project funding is available, no further
                                                                      technical merit of a proposed innovation with projects receiving
competition is necessary to award an SBIR Phase III contract.
                                                                      up to $125,000 for a 1 year effort. STTR Phase II contracts
                                                                      continues the most promising Phase I projects based on scientific
For further assistance contact:
                                                                      and technical merit, expected value to NASA, and commercial
Kimberly Hines                                                        potential. STTR Phase II contracts are limited to $750,000 for 2
Technology Infusion Manager,                                          years.
NASA Ames Research Center
(650) 604-5582
Kimberly.K.Hines@nasa.gov




                                                                      * Award amounts subject to change.
Expedited Procurement for Technology
Development or Research Support
                                                                      Areas of Research
NASA may award Phase III contracts for products or services with
non-SBIR/STTR funds. The competition for SBIR/STTR Phase I            The technologies described herein were solicited for in alignment
                                                                      with NASA Mission Directorates.
and Phase II awards (by any federal agency) satisfies competition
requirements of the Armed Services Procurement Act, the Federal       At the time of the solicitations, the mission directorates were:
Property and Administrative Services Act, and the Competition         • •	 Aeronautics Research ................pg. 6
                                                                         Aeronautics
in Contracting Act. Therefore, an agency that wishes to fund a
                                                                      • •	 Exploration Systems .................pg. 36
                                                                         Exploration
Phase III project is not required to conduct another competition
in order to satisfy those statutory provisions. Phase III work may    • •	 Science .......................................pg. 72
                                                                         Science
be for products, production, services, R/R&D, or any combination      • •	 Space Operations ....................pg. 108
                                                                         Science Operation
thereof that is derived from, extends, or logically concludes
efforts performed under prior SBIR funding agreements, from any          •	   STTR ......................................... pg. 114
government agency. A federal agency may enter into a Phase III
agreement at any time with a Phase I or Phase II awardee. There
is no limit on the number, duration, type, or dollar value of Phase
III awards made to a business concern. There is no limit on the
time that may elapse between a Phase I or Phase II and a Phase
III award. The small business size limits for Phase I and Phase II
awards do not apply to Phase III awards.

NASA wide SBIR search tool:
https://ehb8.gsfc.nasa.gov/sbir/public/technologySearch/
searchAction.do?requestFrom=NASASBIRHome

Government wide SBIR search tool:
http://web.sba.gov/tech-net/public/dsp_search.cfm

For assistance with any of your SBIR search needs,
you may contact:

Kimberly Hines                        Josh Holtrust
Technology Infusion Manager           SBIR Program Assistant
kimberly.k.hines@nasa.gov             joshua.a.holtrust@nasa.gov
650-604-5582                          650-604-2235
Microscopic Analysis and Modeling of Airport Surface Sequencing                                              Flight Adaptive Blade for Optimum Rotor Response (FABFORR)
                       Mosaic ATM, Inc. .................................................................................. 8        Continuum Dynamics, Inc. ................................................................... 24
                       Rapid Estimation of Aircraft Performance Models using Differential                                           Stochastic Queuing Model Analysis to Support Airspace Super
                       Vortex Panel Method and Extended Kalman Filter                                                               Density Operations (ASDO)
                       Optimal Synthesis................................................................................. 9         Optimal Synthesis, Inc.......................................................................... 25
                       Advanced Data Mining and Deployment for Integrated Vehicle                                                   Market Mechanisms for Airspace Flow Program Slots
                       Health Management and the Space Vehicle Lifecycle                                                            Metron Aviation, Inc. ............................................................................. 26
                       Michigan Aerospace Corporation ........................................................ 10                   Unmanned Aerial Vehicle Integration into the NAS
                       Computational Model and Measurement Tool for Evaluating the                                                  Metron Aviation, Inc. ............................................................................. 27
                       Design of Flight Deck Technologies                                                                           ATC Operations Analysis via Automatic Recognition of Clearances
                       Aptima, Inc. .......................................................................................... 11   Mosaic ATM, Inc. .................................................................................. 28
                       Elastomeric Dampers derived from First-Principles-Based                                                      Estimation and Prediction of Unmanned Aerial Vehicle Trajectories
                       Analytical Simulation                                                                                        Numerica Corporation .......................................................................... 29
                       Materials Technologies Corporation ..................................................... 12
Aeronautics Research




                                                                                                                                    Accelerating ATM Optimization Algorithms Using High Performance
                       Computational Wind Tunnel: A Design Tool for Rotorcraft                                                      Computing Hardware
                       Sukra Helitek, Inc. ................................................................................ 13      Optimal Synthesis, Inc.......................................................................... 30
                       On-Demand Special Use Airspace                                                                               Probabilistic Remaining Useful Life Prediction of Composite Aircraft
                       Metron Aviation, Inc. ............................................................................. 14       Components
                       Trajectory	Design	to	Benefit	Trajectory-Based	Surface	Operations                                             Global Engineering and Materials, Inc ................................................. 31
                       Optimal Synthesis, Inc.......................................................................... 15          Distributed Data Mining for Aircraft Health Management
                       A Robust Flare Planning Logic for Unmanned                                                                   Mitek Analytics LLC .............................................................................. 32
                       Aerial Vehicle Applications                                                                                  A High Order Accuracy Computational Tool for Unsteady Turbulent
                       Aurora Flight Sciences Corporation ..................................................... 16                  Flows and Acoustics
                       Prognostic	and	Fault	Tolerant	Reconfiguration	Strategies	for	                                                Frendi Research Corporation ............................................................... 33
                       Aerospace Power Electronic Controllers and Electric Machines                                                 RotCFD:	A	Viscous	Design	Tool	for	Advanced	Configurations
                       Impact Technologies, LLC.................................................................... 17              Sukra Helitek, Inc. ................................................................................ 34
                       ACES-Based Testbed and Bayesian Game-Theoretic Framework
                       for	Dynamic	Airspace	Configuration
                       Intelligent Automation, Inc. ................................................................... 18
                       Use-Driven Testbed for Evaluating Systems and Technologies
                       (U-TEST)
                       Aptima, Inc. .......................................................................................... 19
                       Integrated Design and Analysis Environment for Safety Critical
                       Human-Automation Systems
                       Barron Associates, Inc. ........................................................................ 20
                       Physical Modeling for Anomaly Diagnostics and Prognostics
                       Ridgetop Group, Inc............................................................................. 21
                       Interfacial Design of Composite Ablative Materials
                       Advanced Cooling Technologies, Inc. ................................................. 22
                       Fiber-Coupled Spectrometer for TPS Materials
                       ElectroDynamic Applications, Inc. ....................................................... 23

                                                                                                                                                                                                                                              7
Next Generation Air Transportation System - Airspace                    Adaptive Flight Control
                                                                               I


       Microscopic Analysis and Modeling of Airport Surface Sequencing         Rapid Estimation of Aircraft Performance Models using Differential
       Mosaic ATM, Inc.                                                        Vortex Panel Method and Extended Kalman Filter
                                                                               Optimal Synthesis

       Technical Abstract                                                      Technical Abstract
       Although a number of airportal surface models exist and have            The problem of estimating the aerodynamic models for flight
       been successfully used for analysis of airportal operations, only       control of damaged aircraft using an innovative differential vortex
       recently has it become possible to conduct detailed validation of       lattice method tightly coupled with an extended Kalman filter was
       such models through the use of airport surface surveillance data.       investigated during the Phase I research. The approach exploited
       In this effort, we propose to go a step further than existing models,   prior knowledge about the undamaged aircraft to reduce the order
       by actually incorporating empirically-derived airport surface           of the estimation problem. Probing maneuvers were designed to
       control practices into NASA’s overall airportal simulation modeling     improve the observability of the system dynamics. The derived
       capability. This effort will produce tools to support fundamental       performance model was then be used to determine the aircraft
       research of the concept and requirements for airportal operations       flight envelope, performance parameters and the maneuver limits.
       in the Next Generation Air Transportation System (NextGen) by           The estimated data can be used as the basis for designing safe
       providing microscopic airportal surface modeling components             landing guidance laws for damaged aircraft. Phase II research
       that provide higher fidelity and greater validity of modeling than      will refine the algorithms developed during the Phase I research
       previously available. Through this effort we will use the Surface       and create a standalone software implementation. Structural
SBIR




                                                                                                                                                     SBIR
       Operations Data Analysis and Adaptation (SODAA) tool to conduct         dynamic computations and control power estimation will be
       detailed analysis of airport surface operations using actual data.      included in the software. Operation of the software will then be
                                                                               demonstrated at near real-time speeds. All the algorithms and
       Company Contact                                                         software developed under the proposed research will be supplied
       Bryan Wood                                                              to NASA at the end of Phase II. Human-in-the-loop simulations
       (800) 405-8576                                                          and flight test evaluation of the system will be undertaken during
       wood@mosaicatm.com
                                                                               the Phase III work.
       NASA COTR Contact
                                                                               Company Contact
       Shawn Engelland
       (817) 858-7634                                                          P. K. Menon
       Shawn.Engelland@nasa.gov                                                (650) 559-8585
                                                                               menon@optisyn.com

                                                                               NASA COTR Contact
                                                                               Diana M. Acosta
                                                                               (650) 604-4585
                                                                               Diana.M.Acosta@nasa.gov




       2007 Phase II                                                           2007 Phase II
 8     Proposal # 07-02 A3.02-8835                                             Proposal # 07-2 A1.04-8554
                                                                                                                                                      9
Technologies for Improvement Design
       Data Mining for Integrated Vehicle Health Management                       I
                                                                                  and Analysis of Flight Deck Automation

       Advanced Data Mining and Deployment for Integrated Vehicle                 Computational Model and Measurement Tool for Evaluating the
       Health Management and the Space Vehicle Lifecycle                          Design of Flight Deck Technologies
       Michigan Aerospace Corporation                                             Aptima, Inc.

       Technical Abstract                                                         Technical Abstract
       In a successful Phase 1 project for NASA SBIR topic A1.05, “Data           The runway safety issue has been on the Most Wanted list of the
       Mining for Integrated Vehicle Health Management,” Michigan                 National Transportation Safety Board since the list’s inception
       Aerospace Corporation (MAC) demonstrated its SPADE anomaly                 in 1990. The FAA has responded by implementing two ground
       detection software to key personnel in NASA’s Intelligent                  surveillance technologies at major U.S. airports to reduce the
       Systems Division (ISD) and with data from our partners at                  risk of runway incursions. However, both technologies route
       Boeing, SpaceX and GMV Space Systems. The feedback from                    information through air traffic control (rather than directly to
       these demonstrations was used to establish future development              pilots), which significantly delays safe responses. Several flight
       directions for Phase 2. Phase 2 will consist of three major                deck technologies that communicate information directly to pilots
       efforts: 1) the design and implementation of the Taiga system,             are currently in development. However, there is a need for tools
       a next-generation enhancement of the SPADE software, 2) an                 to rapidly test the flight deck technologies early in the design
       investigation into combining complementary functionality of Taiga          process and measure their impact on pilot performance prior
       with existing code at ISD including the Inductive Modeling System,         to implementation. We propose to develop two tools that can
       Mariana and others, and 3) the implementation of a prototype               be used together or independently to evaluate performance of
SBIR




                                                                                                                                                       SBIR
       automatic parallelizer, in cooperation with subcontractor Optillel         flight deck technologies aimed at improving runway safety. We
       Solutions, for a subset of C++ useful for hardware acceleration            will deliver a computational cognitive model (Adaptive Control of
       of machine learning applications. The scope of the interaction             Thought-Runway Safety; ACT-RS) that realistically emulates pilot
       with researchers in NASA ISD will be to explore the relationships          performance, thus reducing the need for human pilots early in the
       between IMS and Taiga and gauge benefits such a Data Handling,             design process. In addition, we will deliver a measurement tool
       Feature Reduction, Visualization and Explainability. We will also          (Performance Measurement (PM) Engine) that can measure the
       investigate heterogeneous ensemble methods by analyzing the                impact of the flight deck technology on the performance of ACT-
       Mariana system. Optillel’s C++ Parallelizer will reduce MAC’s              RS and a human pilot, making it useful across the technology
       development costs for parallelizing C++ code for multi-core chips          lifecycle.
       and clusters. This effort will build on Optillel’s existing body of work
       that supports graphical programming languages, and will extend             Company Contact
       their technology to the analysis and parallelization of C++ code.          Jeff Jungemann
       Both the Taiga system and Optillel’s prototype have significant            (202) 842-1548
                                                                                  jeff337@gmail.com
       commercialization potential in industries as diverse as Chemical,
       Pharmaceutical, Manufacturing and Aerospace.                               NASA COTR Contact
                                                                                  James C Johnston
       Company Contact                         NASA COTR Contact                  (650) 604-5686
       John Trenkle                            Nikunj Oza                         james.c.johnston@nasa.gov
       (734) 975-8777                          (650) 604-2978
       jtrenkle@michiganaerospace.com          Nikunj.C.Oza@nasa.gov



       2007 Phase II                                                              2007 Phase II
 10    Proposal A1.05-9348                                                        Proposal A1.12-9786
                                                                                                                                                        11
Rotocraft                                                               Rotocraft
                                                                               I


       Elastomeric Dampers derived from First-Principles-Based                 Computational Wind Tunnel: A Design Tool for Rotorcraft
       Analytical Simulation                                                   Sukra Helitek, Inc.
       Materials Technologies Corporation

       Technical Abstract                                                      Technical Abstract
       Lead-lag motions of rotor blades in helicopters require damping         During initial design studies, parametric variation of vehicle
       to stabilize them. In practice, this has necessitated the use of        geometry is routine. In addition, rotorcraft engineers traditionally
       external hydraulic dampers which suffer from high maintenance           use the wind tunnel to evaluate and finalize designs. Estimation
       costs. High operational (lifecycle) cost has prompted rotorcraft        of rotor tunnel blockage is significantly more complex than bluff
       industry to use elastomeric lead-lag dampers that result in “dry’’      body corrections as the correction depends on operational
       rotors. However, complex behavior of elastomers provides                characteristics such as rotor RPM and thrust produced. This
       challenges for modeling such devices, as noted by rotorcraft            proposal offers to develop an Integrated Design Environment
       airframers. Currently used analytical models oversimplify               (IDE) which can simulate a complete rotorcraft with or without wind
       the complexity of operational environment and make radical              tunnel walls including all the facility effects. At the heart of the
       assumptions about operating parameters that, at best, lead              innovation are: 1. An automated hybrid grid generator (viscous
       to excessively simplistic, and often unreal, device models.             grids near the bodies and unstructured Cartesian grid everywhere
       These first order linear device models require costly and time          else). 2. A robust and economical incompressible flow solver for
       consuming experiments to construct them; moreover, they do              the entire system of grids. 3. Momentum source based rotor model
SBIR




                                                                                                                                                      SBIR
       not directly relate to either the material characteristics or the       that is suitable and economical for simulating configurations
       geometric configuration. In Phase-I SBIR, MTC team pursued a            with multiple rotors. In Phase I, the proof-of-concept developed
       fundamentally radical approach wherein elastomeric dampers              used unstructured Cartesian grid for the model and wind tunnel.
       are derived from first-principle-based modeling rather than device      In phase II, the tool will be extended to hybrid grid with viscous
       model-based analyses. Our Phase-I program was tailored towards          grid near solid surfaces and will include several tools including a
       successfully demonstrating closed loop simulation, i.e. a finite        simple CAD like geometry manipulation tool and pre- and post-
       element based modeling of elastomeric materials integrated into         processing tools all integrated in one environment to facilitate
       a multibody dynamics framework for rotorcraft analysis. During          ease of use.
       Phase-II, comprehensive and sophisticated material models will
       be implemented and streamlined into a single comprehensive              Company Contact
       analysis framework. These implementations will be fully validated       Angela Lestari
       against bench and flight test data of Bell M429 elastomeric             (515) 292-9646
                                                                               nappi@sukra-helitek.com
       dampers. These program objectives will be accomplished via
       collaborative tripartite partnership with Bell Helicopter and Georgia   NASA COTR Contact
       Tech.                                                                   Gloria Yamauchi
                                                                               (650) 604-6719
       Company Contact                       NASA COTR Contact                 gloria.k.yamauchi@nasa.gov
       Yogesh Mehrotra                       Sesi Kottapalli
       (203) 874-3100                        (650) 604-309
       ymehrotra@aboutmtc.com                Sesi.B.Kottapalli@nasa.gov



       2007 Phase II                                                           2007 Phase II
 12    Proposal A2.10-8476                                                     Proposal A2.10-8873
                                                                                                                                                       13
Next Generation Air Transportation System - Airspace                  Next Generation Air Transportation System - Airspace
                                                                             I


       On-Demand Special Use Airspace                                        Trajectory Design to Benefit Trajectory-Based Surface Operations
       Metron Aviation, Inc.                                                 Optimal Synthesis, Inc.


       Technical Abstract                                                    Technical Abstract
       We design and develop a Decision Support Tool (DST) that              Trajectory-based operations constitute a key mechanism
       supports On-Demand Special Use Airspace (SUA) scheduling and          considered by the Joint Planning and Development Office (JPDO)
       flight plan optimization around SUA between Airline Operations        for managing traffic in high-density or high-complexity airspace
       Control (AOC), Military, Air Traffic Control System Command           in the Next-Generation Air Transportation System (NextGen).
       Center (ATCSCC), and Air Route Traffic Control Center (ARTCC)         With this concept applied to surface operations at major airports,
       personnel. The tool allows AOC and ARTCC Traffic Management           NASA’s NextGen-Airportal Project is exploring the use of surface
       Unit (TMU) personnel to coordinate strategic and tactical plans,      4-dimensional (4D) trajectories, which use required times of arrival
       with a strategic look ahead time from days to less than 2 hours,      (RTAs) at selected locations along the route. Observing these
       and tactical plans up to the minute centered locally around           RTAs as constraints along the taxi route, the flight still has many
       an ARTCC airspace. The tool coordinates aircraft movement             degrees of freedom in adjusting its state profiles (i.e., position,
       though vs around SUA. The tool allows for asynchronous                velocity, etc. as functions of time) to achieve the timing constraints.
       communication of priorities associated with flight plans and flight   This research will investigate whether and how these degrees of
       plan amendments (contingency plans) between the AOC and               freedom in trajectory control may be used to achieve desirable
SBIR




                                                                                                                                                       SBIR
       ARTCC TMU specialist, allowing the ATCSCC and Military to view        behaviors for the taxi operations. Previous research has applied
       these priorities and TMU responses to them at any time. This          the trajectory control freedom to assure passenger comfort by
       technology will be developed to Technology Readiness Level            keeping the accelerations and decelerations within pre-specified
       (TRL) 2 at the end of Phase I, and TRL 4 prototype system by the      limits, and yet there is still untapped flexibility in designing the
       end of Phase II.                                                      trajectories. The proposed research will explore this trajectory
                                                                             design problem to achieve additional desirable behaviors,
       Company Contact                                                       beginning with the consideration of fuel burn, emissions, and
       Jimmy Krozel                                                          noise. A flight-deck automation experimental prototype will provide
       (503) 274-8316                                                        the platform for simulating the designs, augmented by models
       krozel@metronaviation.com
                                                                             developed to evaluate environmental benefits. The findings
       NASA COTR Contact                                                     will benefit future designs of flight-deck automation systems,
       Parimal Kopardekar                                                    as well as tower automation systems which rely on accurate
       (650) 604-2782                                                        understanding of the flight deck’s operational behaviors to plan
       Parimal.H.Kopardekar@nasa.gov                                         efficient and safe operations for the entire surface traffic.

                                                                             Company Contact                        NASA COTR Contact
                                                                             Victor Cheng                           David Foyle
                                                                             (650) 650-8585                         (650) 604-3053
                                                                             vcheng@optisyn.com                     david.foyle@nasa.gov




       2007 Phase II                                                         2008 Phase II
 14    Proposal A3.01-9057                                                   Proposal A3.02-8623
                                                                                                                                                        15
Robust Flare Planning and Guidance for
                                                                            Integrated Diagnosis and Prognosis of Aircraft Anomalies
                                                                            I
       Unimpaired and Impaired Aircraft

       A Robust Flare Planning Logic for Unmanned                           Prognostic and Fault Tolerant Reconfiguration Strategies for
       Aerial Vehicle Applications                                          Aerospace Power Electronic Controllers and Electric Machines
       Aurora Flight Sciences Corporation                                   Impact Technologies, LLC

       Technical Abstract                                                   Technical Abstract
       Aurora Flight Sciences proposes to develop a flare planning          Impact Technologies has proposed development of a real-time
       methodology that would provide aircraft guidance during this         prognostic and fault accommodation system for power converters
       critical phase of flight. The algorithms that Aurora seeks to        and electro-mechanical (EM) drive applications. The main
       leverage the reachability problem in the fields of Optimal Control   goal for this program is development of techniques that enable
       and Hybrid Systems, using Rapidly-Exploring Random Trees             fault tolerant control based on diagnostic features from the coil
       (RRTs) and Falsification theory. To this end, Aurora proposes        winding and power transistors. During Phase I, Impact achieved
       the innovation of applying a suitable version of these algorithms    substantial and promising results in three main technical areas
       to the design of a flare maneuver guidance and planning logic.       that provide opportunities to maturing tools that enable PHM
       The planner will be capable of dynamically producing a flare         and reconfiguration techniques. The technical areas include:
       maneuver that does not violate the aircraft flight envelope and      Transistor Performance, Motor/Actuator Performance, and
       other stipulated constraints. The planner will meet the robustness   Fault Tolerant Reconfiguration. During Phase II, a significant
       requirements stipulated in the topic solicitation; namely, it will   effort will be employed to further develop the automated ringing
       apply to both impeded and unimpeded aircraft, and it will operate    feature extraction feature, leakage current sensing capabilities,
SBIR




                                                                                                                                                  SBIR
       under significant weather disturbances. The main technical           and reconfiguration techniques for continued motor operation.
       challenge in developing the planning logic is extending and          These efforts will lead to development of prototype sensors for
       applying the chosen control algorithms to 6-DOF aircraft dynamics    IGBT aging detection and current leakage detection as a health
       models under the required variety of operating conditions. The       indicator of aging effects in power drives. Moreover, Impact
       ultimate goal of the Phase 2 effort is to demonstrate Aurora’s       will demonstrate reconfigurable control techniques for fault
       algorithms in an appropriately sophisticated Hardware-in-the-loop    accommodations in EM applications. The long term implications
       simulation of an impaired aircraft during a flare maneuver.          of a successful completion of this program will provide reliability
                                                                            and health management tools for mission and safety critical
       Company Contact                                                      applications for NASA, commercial, and military enterprises.
       Dr. Antonio Abad
       (617) 500-7048                                                       Company Contact
       aabad@aurora.aero                                                    Antonio Ginart
                                                                            (404) 526-6188
       NASA COTR Contact                                                    antonio.ginart@impact-tek.com
       Corey Ippolito
       (650) 604-1605                                                       NASA COTR Contact
       corey.a.ippolito@nasa.gov
                                                                            Scott Poll
                                                                            (650) 604-2143
                                                                            scott.poll@nasa.gov




       2008 Phase II                                                        2008 Phase II
 16    Proposal A1.09-9907                                                  Proposal A1.11-8886
                                                                                                                                                   17
NextGen Airspace                                                    NextGen Airspace
                                                                           I


       ACES-Based Testbed and Bayesian Game-Theoretic Framework            Use-Driven Testbed for Evaluating Systems and Technologies
       for Dynamic Airspace Configuration                                  (U-TEST)
       Intelligent Automation, Inc.                                        Aptima, Inc.

       Technical Abstract                                                  Technical Abstract
       This SBIR effort is focused on developing a Dynamic Airspace        NextGen will require the development of novel solutions to shape
       Configuration (DAC) concept where-in ARTCCs can benefit from        the airspace of tomorrow. Along with the ability to generate new
       re-configuring airspaces based on Traffic Flow Management           systems and technologies comes the need to rigorously evaluate,
       (TFM) restrictions, and the development of a preliminary Airspace   and eventually validate, the effectiveness of these concepts.
       Concept Evaluation System (ACES)-framework and initial              However, it is often challenging to translate simulation data into
       algorithms to demonstrate that ARTCCs need to engage in a           useful, integrated, and contextually-based assessments. Many
       coordination framework of exchanging TFM restriction until they     critical findings are not identified for this reason, which could
       determine mutually-agreeable optimal airspace configuration.        otherwise guide researchers toward advancements with NextGen
       The development of algorithms that leverage and recognize the       technologies. Aptima proposes to develop the Use-driven Testbed
       interactions and interdependencies between DAC and TFM is           for Evaluating Systems and Technologies (U-TEST), a flexible
       the key innovation of this effort. Some examples of expected        toolset that helps NextGen researchers to efficiently extract
       operational improvements include 1) reduction in congestion         findings on pilot performance in simulated flight environments.
       and delays when sector capacities (Monitoring Alert Parameter       Three primary components are: (1) context-capturing software will
SBIR




                                                                                                                                                SBIR
       or Dynamic Density) are violated, 2) reduction in controller        guide researchers to key events and allow important contextual
       workload and improved safety, 3) ability to accommodate user        information to be gathered for analysis; (2) a data integration
       preferred routes and weather uncertainty and 4) achieve a           platform that will automate organization of data sources into a
       balance between airborne delay and grounding holding delay. The     format conducive to analysis; and (3) context-based analysis
       SBIR Phase-I effort demonstrated how a combined DAC-TFM             software that will enable deep, focused analysis by combining
       algorithm determines an optimal airspace configuration different    a quick-look function, an algorithm for focusing analysis, and
       from a DAC-only algorithm and could result in minimization of       context-based playback of key events and trials. U-TEST will be
       peak count and dwell time variance. The effort also included        an extensible toolset that can help NextGen researchers improve
       the design and preliminary implementation of a TFM model that       the amount and quality of findings across a range of studies.
       uses ARTCC sector configuration to determine the delays that is
       generated, absorbed and propagated. The Phase II effort includes    Company Contact
       development of DAC-TFM framework as an enhancement to               Kevin Durkee
       NASA’s ACES- DADS (Dynamic Airspace Design Service) work            (937) 306-7747
                                                                           kdurkee@aptima.com
       and interaction of NASA’s airspace partitioning DAC algorithms
       such as MxDAC, DAU slicing and Sector Combination algorithms        NASA COTR Contact
       with the TFM models using the same framework.                       Walter Johnson
                                                                           (650) 604-3667
       Company Contact                     NASA COTR Contact               walter.johnson@nasa.gov
       Goutam Satapathy                    Larry Meyn
       (301) 294-5249                      (650) 604-5038
       goutam@i-a-i.com                    larry.a.meyn@nasa.gov

       2008 Phase II                                                       2008 Phase II
 18    Proposal A3.01-8875                                                 Proposal A3.01-9466
                                                                                                                                                 19
Technologies for Improved Design and Analysis
                                                                                       Prognosis of Aircraft Anomalies
                                                                                       I
       of Flight Deck Systems

       Integrated Design and Analysis Environment for Safety Critical                  Physical Modeling for Anomaly Diagnostics and Prognostics
       Human-Automation Systems                                                        Ridgetop Group, Inc.
       Barron Associates, Inc.

       Technical Abstract                                                              Technical Abstract
       Numerous advances have been made in recent years in the areas of                Ridgetop developed an innovative, model-driven anomaly diagnostic
       flight deck design, aircraft modeling, resilient control, and vehicle health    and fault characterization system for electromechanical actuator (EMA)
       management. The combination of these complementary technologies                 systems to mitigate catastrophic failures. Ridgetop developed a MIL-
       promises to revolutionize aircraft systems and operations safety in             STD-1553 bus monitor and a MIL-STD-1553 bus controller that simulates
       the decades ahead. However, the task of safely integrating these                the aircraft data bus, reads the environmental (i.e., altitude) and
       technologies is becoming increasingly difficult as their level of complexity,   operational (i.e., response of system) data of a system and determines
       degree of automation, and demands from their operational environment            if a fault is manifesting; and if true determines the root cause and
       grow. The Next Generation Air Transport System (NextGen), while                 symptoms of the fault. Once an anomaly is detected, the Model-based
       providing significant benefits in terms of increased capacity and               Avionic Prognostic Reasoner (MAPR) solves a user-outlined state-space
       safety, will exacerbate this situation due to the large numbers of              model, symbolically, using a Gauss-Newton optimization method and the
       new and existing systems that will be required to interoperate. The             information from the MIL-STD-1553 bus. This algorithm outputs a list of
       multidisciplinary nature of these systems is a significant factor that          best fitting parameters to match the command to the actual performance.
       makes analyzing their safety characteristics extremely difficult. While         Rules are programmed in, based on results from principal component
       many development tools exist to conduct deep analyses within individual         analysis . The rules determine both fault mode and the severity of that
SBIR




       disciplines, there is a lack of tools available for deep analysis of complex    fault. The rules can distinguish between two failure modes: Mechanical




                                                                                                                                                                     SBIR
       multidisciplinary designs. The proposed research seeks to create a              jam and MOSFET failure, and healthy. The real-time processing will
       new class of development tool that will allow designers of complex              allow for critical evolutions in flight safety and provides a game-changing
       systems-of-systems to explore the dynamic interactions between                  approach to condition-based maintenance. Once deployed, flight safety
       system components to uncover systemic vulnerabilities, precursory               can be improved by allowing the on-board flight computers to read from
       conditions, and likely outcomes. The Phase I project generated an               the MAPR and update their control envelope based on its evaluations,
       initial implementation of the software package Idea, an Integrated              reducing damage propagation and increasing operational safety. In
       Design and Analysis Environment that could be used to model complex             Phase 2, we will develop a functioning ground-based prototype of the
       interdependencies between flight deck operations, flight deck controls          technology to show the efficacy of the method. A ground-based version
       and display, and the underlying physical components of the aircraft.            of the tool is the best candidate for development to ease adoption by
       The proposed Phase II effort will mature this software and expand its           testing in a low-risk environment; this tool will be demonstrated at the
       capabilities, resulting in a flexible, standards-compliant tool that is ready   end of Phase 2. The MAPR concept is also applicable to any system with
       for beta testing and subsequent commercialization. It will focus on             a state-space representation but at this point it has been developed with
       enhancements that support cross-disciplinary modeling and analysis of           EMAs in mind. The MAPR prototype is at TRL 5 and will reach a TRL 7
       safety-critical human-automation systems.                                       by the end of Phase 2.

       Company Contact                            NASA COTR Contact                    Company Contact                           NASA COTR Contact
       Michael DeVore                             Michael S Feary                      Neil Kunst                                Edward Balaban
       (434) 973-1215                             (650) 604-0203                       (520) 742-3300                            (650) 604-5655
       devore@bainet.com                          Michael.S.Feary@nasa.gov             neil.kunst@ridgetopgroup.com              Edward.Balaban@nasa.gov




       2009 Phase II                                                                   2009 Phase II
 20    Proposal A1.06-8711                                                             Proposal A1.12-9941
                                                                                                                                                                      21
Materials and Structures for Future Aircraft                            Aerothermodynamics
                                                                               I


       Interfacial Design of Composite Ablative Materials                      Fiber-Coupled Spectrometer for TPS Materials
       Advanced Cooling Technologies, Inc.                                     ElectroDynamic Applications, Inc.


       Technical Abstract
       This Small Business Innovation Research (SBIR) project proposes         Technical Abstract
       the development of a computational software package to provide          EDA, Inc., in partnership with Penn State, has shown previously
       NASA with advanced materials development capabilities for               that the concept of embedding fiber optics within ablative TPS
       existing and new ablative materials used in the next generation         material has merit and should yield a successful implementation
       thermal protection systems (TPS) of space vehicles. This                of a spectrometer “window” during a Phase-II development
       materials development software package (MDSAM) can be used              program. Optical instrumentation, such as optical spectrometers
       to optimize properties (high strength and low thermal conductivity)     would provide benchmark data for fundamental flow, radiation,
       for both the virgin material as well as the char that forms during      and materials modeling as well as provide operational correlations
       the operating conditions. It will provide atomistic-level information   between vehicle reentry drag and radiation if implemented in a
       on char evolution and the degradation of thermo-mechanical              TPS flight test program. Without flight spectral data, and the
       properties. The proposed MDSAM will consist of the following two        appropriate modeling efforts, the power of prediction to assist
       modules: (i) an experimentally validated, atomistic-level simulation    in new heat shield design does not exist for reentry into other
       engine capable of predicting the role of interfacial structure on the   planetary atmospheres. This is a severe limitation for future space
                                                                               exploration missions which FiberPlug helps address.
SBIR




       resin-to-carbon process and (ii) atomistically-informed continuum-




                                                                                                                                                     SBIR
       level thermo-mechanical performance analyzer for composite
                                                                               Company Contact
       ablative materials subjected to transient pyrolytic conditions.
                                                                               Dean Massey
       The underlying methodology and the software package will be             (734) 786-1434
       transitioned to NASA scientists working on ablative materials           massey@edapplications.com
       development. In addition to developing a computational software
       package, we will address open, unsolved problems in the literature      NASA COTR Contact
       to support NASA’s ablative materials development requirements.          Michael Wilder
       In the course of developing this methodology, we will produce           (650) 604-4569
       significant scientific results on pyrolysis and materials properties    michael.c.wilder@nasa.gov
       that will be important to NASA.

       Company Contact
       Tapan Desai
        (717) 295-6061
       tapan.desai@1-ACT.com

       NASA COTR Contact
       John Lawson
       (650) 604-6189
       John.W.Lawson@nasa.gov



       2009 Phase II                                                           2009 Phase II
 22    Proposal A2.01-8833                                                     Proposal A2.06-8042
                                                                                                                                                      23
Rotocraft                                                              NextGen Airspace
                                                                              I


       Flight Adaptive Blade for Optimum Rotor Response (FABFORR)             Stochastic Queuing Model Analysis to Support Airspace Super
       Continuum Dynamics, Inc.                                               Density Operations (ASDO)
                                                                              Optimal Synthesis, Inc.

       Technical Abstract                                                     Technical Abstract
       While past research has demonstrated the utility and benefits to       NASA has been involved in extensive research efforts to develop
       be gained with the application of advanced rotor system control        advanced concepts and technologies, for the Next Generation
       concepts, none have been implemented to date on a production           Air Transportation System (NextGen) under different Research
       military or commercial rotorcraft. A key contributor to this fact is   Focus Areas (RFAs). The Airspace Super Density Operations
       the inherent cost associated with installation and maintenance of      (ASDO) RFA seeks to develop efficient terminal area operations.
       these control systems, since many system designs require the           It is expected that multiple ASDO concepts will be interacting
       replacement of a helicopter’s rotor blades, rotor hub components,      with one another in a complex non-deterministic manner.
       or both. The proposed work addresses this deficiency through           Therefore, the overall terminal system performance may not be
       the development of an on-blade full-span camber control system         a straightforward combination of individual performance indices.
       that reaps many of the known benefits of advanced rotor control        It is also crucial that the overall system performance be robust to
       in a retrofit design approach that has the potential to achieve        wind and operational uncertainties. The proposed research effort
       production status due to its lower risks and costs compared to         seeks to develop a fast-time, stochastic analysis tool based on
       previous system concepts. The design leverages past work in            queuing theory that can be used to evaluate the interaction and
SBIR




                                                                                                                                                    SBIR
       the use of smart-material actuated bistable tabs for rotor blade       combined performance of multiple ASDO concepts. The utility of
       tracking, with a newer integral actuation concept that will lead       the approach was demonstrated under Phase I research. Phase
       toward a more robust and flightworthy design.                          II research seeks to achieve the following: (i) make enhancements
                                                                              to the modeling and simulation aspects of the approach, (ii)
       Company Contact                                                        accelerate the stochastic simulation execution time using high-
       Robert McKillip, Jr.                                                   performance computing solutions, (iii) create software plug-ins
       (609) 609-0444                                                         for existing NASA research tools, (iv) conduct studies of NextGen
       bob@continuum-dynamics.com
                                                                              terminal area concepts using the queuing simulation, and (v)
       NASA COTR Contact                                                      develop a conflict free scheduling algorithm based on the queuing
       Sesi Kottapalli                                                        simulation.
       (650) 604-3092
       Sesi.B.Kottapalli@nasa.gov                                             Company Contact
                                                                              Monish Tandale
                                                                              (650) 559-8585
                                                                              monish@optisyn.com

                                                                              NASA COTR Contact
                                                                              Douglas R Isaacson
                                                                              (650) 604-0874
                                                                              Douglas.R.Isaacson@nasa.gov



       2009 Phase II                                                          2009 Phase II
 24    Proposal A2.09-8823                                                    Proposal A3.01-8549
                                                                                                                                                     25
NextGen Airspace                                                       NextGen Airspace
                                                                              I


       Market Mechanisms for Airspace Flow Program Slots                      Unmanned Aerial Vehicle Integration into the NAS
       Metron Aviation, Inc.                                                  Metron Aviation, Inc.


       Technical Abstract                                                     Technical Abstract
       Metron Aviation, Inc. proposes to design a system to support a         Technological innovations have enabled a wide range of aerial
       marketplace in which flight operators can exchange arrival slots       vehicles that can be remotely operated. Viable applications
       in traffic flow management (TFM) initiatives such as airspace          include military missions, law enforcement, border patrol, weather
       flow programs (AFPs) and ground delay programs (GDPs) while            data collection, telecommunications, land use imaging, and cargo
       requiring no changes in FAA automation or procedures. The              transport. NASA and other organizations have invested heavily in
       advent of AFPs in 2006 has generated many more potentially             this unmanned aerial vehicle (UAV) research. UAVs can be flown
       exchangeable resources that would be valued sufficiently               in the National Airspace System (NAS) today, but only with special
       differently by their owners to make a trade desirable. We believe      permission from the FAA a process that often takes 60 to 90 days.
       that NAS users and the FAA would embrace such a marketplace            Moreover, permission is often contingent on heavy restrictions,
       and that it would enable users to collectively reduce their            such as accompanying the UAV with a manned chase plane,
       operating costs resulting from NAS congestion. Both FAA and            thereby nullifying the cost savings of a UAV. Full fruition of UAV
       NASA research has highlighted the need for efficient and equitable     technology will require incorporation of UAVs into mainstream
       allocation of NAS resources and increased operational flexibility.     air traffic management (ATM) practices, including traffic flow
SBIR




                                                                                                                                                   SBIR
       Market-based mechanisms have been suggested for transferring           management flow control programs and possible creation of
       system-imposed delay from more critical to less critical flights. No   special use airspace (SUA). In this SBIR, we propose a UAV-to-
       such capability is available to NAS users today. In this SBIR, we      traffic flow management (AIM-UAS) interface. This allows traffic
       will show how the advent of AFPs changes the forces at work in a       managers to anticipate and track UAVs. In turn, this allows UAV
       slot-trading marketplace, making its functions much more valuable      operators to understand their impact on commercial air traffic and
       to flight operators.                                                   their involvement in traffic management activities.

       Company Contact                                                        Company Contact
       Michael Brennan                                                        Robert Hoffman
       (703) 234-0743                                                         (703) 234-0760
       Michael.Brennan@                                                       Robert.Hoffman@metronaviation.com
       metronaviation.com
                                                                              NASA COTR Contact
       NASA COTR Contact                                                      Douglas R Isaacson
       Arwa Aweiss                                                            (650) 604-0874
       (650) 604-0730                                                         Douglas.R.Isaacson@nasa.gov
       arwa.s.aweiss@nasa.gov




       2009 Phase II                                                          2009 Phase II
 26    Proposal A3.01-8820                                                    Proposal A3.01-8821
                                                                                                                                                    27
NextGen Airportal                                                     NextGen Airspace
                                                                             I


       ATC Operations Analysis via Automatic Recognition of Clearances       Estimation and Prediction of Unmanned Aerial Vehicle Trajectories
       Mosaic ATM, Inc.                                                      Numerica Corporation


       Technical Abstract                                                    Technical Abstract
       Recent advances in airport surface surveillance have motivated        There is serious concern about the introduction of Unmanned
       the creation of new tools for analysis of Air Traffic Control (ATC)   Aerial Vehicles (UAV) in the National Air Space (NAS) because
       operations, such as the Surface Operations Data Analysis and          of their potential to increase the risk of collision between aircraft.
       Adaptation (SODAA) tool, which is being used by NASA to               At present, many UAV platforms lack a Sense and Avoid (SAA)
       conduct airport ATC operations analysis. What is missing from         capability to mitigate collision risk, and this has prevented both the
       ATC operations analysis, however, is accessible and reliable          government and private contractors from using these platforms
       data regarding the clearances issued by the controller and other      in critically needed reconnaissance, surveillance, and security
       communication conducted with the pilot that influences the            enforcement missions. To demonstrate a SAA capability that is
       behavior seen in the surveillance data. The reliance on voice         applicable to a wide range of UAV platforms, advanced trajectory
       communication in ATC operations presents challenges to the            estimation and prediction algorithms are developed and used
       researcher who is trying to obtain data and conduct detailed          to exploit a small collision avoidance radar currently under
       analyses of ATC operations. During the Phase I effort, we             development for UAV operation. Collision prediction algorithms
       designed and developed a prototype system to perform automatic        will assess potential risk in probabilistic terms using adaptive
SBIR




                                                                                                                                                      SBIR
       speech recognition (ASR) of ATC clearances. We demonstrated           techniques that permit accurate predictions across long time
       the feasibility of recognizing ATC clearances from speech audio       horizons. Techniques to ensure these predictions are robust
       data and associating the clearance data with the flight that is the   to modeling uncertainty increase the utility the developed SAA
       subject of the clearance. In the Phase II effort, we will create a    capability for realistic scenarios.
       complete prototype of the ATC speech recognition, processing and
       analysis capability in SODAA. In addition, we will integrate ATC      Company Contact
       speech recognition capabilities into a real-time application in the   Shawn Herman
       Surface Management System (SMS).                                      (970) 461-2000
                                                                             shawn.herman@numerica.us
       Company Contact
                                                                             NASA COTR Contact
       Chris Brinton
       (800) 405-8576                                                        Douglas R Isaacson
       brinton@mosaicatm.com                                                 (650) 604-0874
                                                                             Douglas.R.Isaacson@nasa.gov
       NASA COTR Contact
       Paul Borchers
       (817) 858-7647
       Paul.F.Borchers@nasa.gov




       2009 Phase II                                                         2009 Phase II
 28    Proposal A3.02-9691                                                   Proposal A3.01-8419
                                                                                                                                                       29
Concepts and Technology Development (CTD)                                   P
                                                                                   I rognosis of Aircraft Anomalies


       Accelerating ATM Optimization Algorithms Using High                         Probabilistic Remaining Useful Life Prediction of Composite
       Performance Computing Hardware                                              Aircraft Components
       Optimal Synthesis, Inc.                                                     Global Engineering and Materials, Inc

       Technical Abstract                                                          Technical Abstract
       NASA is developing algorithms and methodologies for efficient air-          A Probabilistic Fatigue Damage Assessment Network (PFDAN)
       traffic management. Several researchers have adopted an optimization        toolkit for Abaqus will be developed for probabilistic life
       framework for solving problems such as flight scheduling, route             management of a laminated composite structure with both
       assignment, flight rerouting, nationwide traffic flow management (TFM)      microcracking induced stiffness degradation and cyclic loading
       and dynamic airspace configuration. Computational complexity of these
                                                                                   induced delamination crack growth without remeshing. It is based
       problems have led investigators to conclude that in many instances,
       real time solutions are computationally infeasible, forcing the use of      on a high fidelity Fatigue Damage Assessment Network (FDAN)
       relaxed versions of the problem to manage computational complexity.         which includes 1) a coupled continuum damage and discrete crack
       The primary objective of the proposed research is to accelerate             model for ply damage characterization; 2) a moment schema finite
       optimization algorithms that play central roles in NASA’s ATM research,     element coupled with XFEM for efficient crack growth simulation
       by parallel implementation on emerging high performance computing           in a thin ply; 3) a mixed mode fatigue delamination module to
       (HPC) hardware. The Phase I R&D effort implemented a Simplex-               account for the mode mixity and failure mode interaction; and 4)
       based Dantzig-Wolfe (DW) decomposition solver that exploits both            an adaptive fracture process zone model for mesh independent
       coarse-grain and fine-grain parallelism in the sub-problem and master       delamination growth. A reduced-order model of FDAN will be
SBIR




       iterations of the DW decomposition. The implementation also exploits




                                                                                                                                                         SBIR
                                                                                   generated using a combined response surface and a Gaussian
       the sparsity in the problems, to manage both memory requirements
                                                                                   process surrogate model builder to perform the subsequent
       and run-times for large-scale optimization problems. This parallel
       implementation was used to solve a Traffic Flow Management (TFM)            probabilistic analysis efficiently. For the module verification and
       problem with 17,000 aircraft (linear program with 7 million constraints),   validation, experimental studies at the sub-component level will
       in 15 seconds. The implementation is 30¿ faster than the exact same         be performed along with the use of a damage monitoring and
       code running on the CPU. It is also 16¿ faster than the NASA’s current      characterization system. The developed toolkit will be used to
       solution that implements parallel DW decomposition using the GNU            perform damage prognosis and risk informed life management
       Linear Programming Kit (GLPK) on an 8-core computer with hyper-             using SHM data. GEM has secured commitments for technical
       threading. Based on the promising Phase I results, the Phase II R&D         support and commercialization assistance from Clarkson
       effort will explore Mixed Integer Linear Programming (MILP) methods         University, Sikorsky Aircraft, and Boeing.
       to solve optimization problems arising in the terminal area and on the
       airport surface, in addition to DW decomposition for the nationwide         Company Contact
       TFM problem. Phase II work will develop operational prototypes of the       Jim Lua
       algorithm implementations on HPC hardware, and deliver them to NASA         (860) 367-4970
       for further evaluation.                                                     jlua@gem-innovation.com

       Company Contact                         NASA COTR Contact                   NASA COTR Contact
       Monish Tandale                          TBA-Contract Under Negotiation      TBA-Contract Under Negotiation
       (650) 559-8585
       monish@optisyn.com




       2010 Phase II                                                               2010 Phase II
 30    Proposal A3.01-8032                                                         Proposal A1.12-8884
                                                                                                                                                          31
Data Mining                                                                   A
                                                                                     I erothermodynamics


       Distributed Data Mining for Aircraft Health Management                        A High Order Accuracy Computational Tool for Unsteady Turbulent
       Mitek Analytics LLC                                                           Flows and Acoustics
                                                                                     Frendi Research Corporation

       Technical Abstract                                                            Technical Abstract
       Aircraft Flight Operations Quality Assurance (FOQA) programs are              Accurate simulations of unsteady turbulent flows for aerodynamics
       implemented by most of the aircraft operators. Vast amounts of FOQA           applications, such as accurate computation of heat loads on space
       data are distributed between many computers, organizations, and               vehicles as well the interactions between fluids and structures is
       geographic locations. This project develops methodology for transforming      of utmost importance to the aerospace industry and NASA. Using
       such distributed data into actionable knowledge in application to aircraft
                                                                                     a Finite Element Framework suited for both fluids and structures,
       health management from the vehicle level to the fleet level to the national
       level. The distributed data processing methodology provably obtains           we propose to continue building on the successes of Phase I
       the same results as would be obtained if the data could be centralized.       by adding various turbulence solution methodologies as well
       The data mining methods are efficient and scalable so that they can           additional multi-disciplinary physics to address complex problems
       return results quickly for 10Tb of distributed data. This data mining         with complex geometries, while maintaining high order accuracy of
       technology that we call Distributed Fleet Monitoring (DFM) developed          the framework.
       in SBIR Phase I satisfies these requirements. The data are transformed
       into models, trends, and anomalies. The model training and anomaly            Company Contact
       monitoring are formulated as convex optimization and decision problems.       Kader Frendi
SBIR




       The optimization agents are distributed over networked computers and          (256) 824-7206




                                                                                                                                                          SBIR
       are integrated through remote connection interface in a scalable open         kfrendi@knology.net
       grid computing framework. Though the data and the computations
       are distributed, they yield provably the same optimal solution that           NASA COTR Contact
       would be obtained by a centralized optimization. DFM feasibility was          TBA-Contract Under Negotiation
       demonstrated in the problem of monitoring aircraft flight performance
       from fleet data using large realistic simulated datasets. We demonstrated
       efficient computation of quadratic optimal solution by interacting
       distributed agents. The feasibility demonstration successfully recovered
       aircraft performance anomalies that are well below the level of the
       natural variation in the data and are not directly visible. The algorithms
       are very efficient and scalable. Phase I demonstration extrapolates
       to processing 10Tb of raw FOQA data in under an hour to detect
       anomalous units, abnormal flights, and compute predictive trends.

       Company Contact
       Dimitry Gorinevsky
       (650) 400-3172
       dimitry@mitekan.com

       NASA COTR Contact
       TBA-Contract Under Negotiation



       2010 Phase II                                                                 2010 Phase II
 32    Proposal A1.15-8747                                                           Proposal A2.06-8769
                                                                                                                                                           33
Rotorcraft                                                              I


       RotCFD: A Viscous Design Tool for Advanced Configurations               Notes:		•	Search	government	wide	for	technologies.
       Sukra Helitek, Inc.


       Technical Abstract
       During initial design studies, parametric variation of vehicle
       geometry is routine. In addition, rotorcraft engineers traditionally
       use the wind tunnel to evaluate and finalize designs. Correlation
       between wind tunnel results and flight tests, when not good, have
       been often attributed in part to uncertainty in blockage corrections.
       Estimation of rotor blockage is significantly more complex than
       bluff body corrections as the correction depends on operational
       characteristics such as rotor RPM and thrust produced. This
       proposal offers to develop an Integrated Design Environment
       (IDE) which can simulate a complete rotorcraft with or without wind
       tunnel walls including all the facility effects. At the heart of the
       innovation are: 1. An automated hybrid grid generator. (viscous
       grids near the bodies and unstructured Cartesian grid everywhere
SBIR




       else) 2. A robust and economical incompressible flow solver for
       the entire system of grids. 3. Momentum source based rotor model
       that is suitable and economical for simulating configurations
       with multiple rotors. In Phase I, the proof-of-concept developed
       used unstructured Cartesian grid for the model and wind tunnel.
       In phase II, the tool will be extended to hybrid grid with viscous
       grid near solid surfaces and will include several tools including a
       simple CAD like geometry manipulation tool and pre- and post-
       processing tools all integrated in one environment to facilitate
       ease of use.

       Company Contact
       Andrew Hollingsworth
       (515) 292-9646
       nappi@sukra-helitek.com

       NASA COTR Contact
       TBA-Contract Under Negotiation




       2010 Phase II
 34    Proposal A2.09-8157
                                                                                                                                    35
Spectroscopic Dosimeter
                      Merril Corporation of Utah, dba MSI Photogenics ............................... 38                            Lunar Navigator - A Miniature, Fully Autonomous, Lunar Navigation,
                                                                                                                                    Surveyor, and Range Finder System
                      Enhancing NASA's Procedure Representation Language to Support
                                                                                                                                    Microcosm, Inc. .................................................................................... 56
                      Planning Operations
                      TRACLabs, Inc. .................................................................................... 39        Lightweight Hybrid Ablator Incorporating Aerogel-Filled Open-Cell
                                                                                                                                    Foam Structural Insulator, Phase II
                      Procedure Integrated Development Environment (PRIDE)
                                                                                                                                    Ultramet ................................................................................................ 57
                      S&K Aerospace .................................................................................... 40
                                                                                                                                    Automation of Health Management, Troubleshooting and Recovery
                      Efficient	Techniques	for	Formal	Verification	of	PowerPC	750	
                                                                                                                                    in Lunar Outpost
                      Executables
                                                                                                                                    Qualtech Systems, Inc. ........................................................................ 58
                      Aries Design Automation, LLC ............................................................. 41
                                                                                                                                    PM/IDE - An Integrated Development Environment for Planning
                      Automated Test Case Generation from Highly Reliable System
                                                                                                                                    Models
                      Requirements Models
                                                                                                                                    Stottler Henke Associates, Inc. ............................................................ 59
                      Safeware Engineering Corporation ...................................................... 42
                                                                                                                                    Robotic Vehicle Proxy Simulation
                      Quantifiable	and	Reliable	Structural	Health	Management	Systems
                                                                                                                                    Energid Technologies ........................................................................... 60
                      Acellent Technologies, Inc. .................................................................. 43
                                                                                                                                    Fusion of Built in Test (BIT) Technologies with Embeddable Fault
Exploration Systems




                      HyDE Enhancements for ISHM Deployment
                                                                                                                                    Tolerant Techniques for Power System and Drives in Space
                      Impact Technologies, LLC.................................................................... 44
                                                                                                                                    Exploration
                      Water Reclamation using Spray Drying                                                                          Impact Technologies, LLC.................................................................... 61
                      NanoMaterials Company ...................................................................... 45
                                                                                                                                    Fast Neutron Dosimeter for the Space Environment
                      A	Super	Cooled,	Non-toxic,	Non-flammable	Phase	Change	Material	                                               Radiation Monitoring Devices, Inc. ...................................................... 62
                      Thermal Pack for Portable Life Support Systems
                                                                                                                                    High	Efficiency,	High	Output	Plastic	Melt	Waste	Compactor	(HEHO-
                      Paragon Space Development Corporation .......................................... 46
                                                                                                                                    PMWC)
                      Advanced, Long-Life Cryocooler Technology for Zero-Boil-Off                                                   Orbital Technologies Corporation......................................................... 63
                      Cryogen Storage
                                                                                                                                    Phenolic Impregnated Carbon Ablator (PICA) Gap Filler for Heat
                      Creare, Inc. ........................................................................................... 47
                                                                                                                                    Shield Assemblies
                      SAFE-P: System for Assurance of Flight Executable Procedures                                                  Fiber Materials, Inc. .............................................................................. 64
                      SIFT, LLC .............................................................................................. 48
                                                                                                                                    Computational Tool for Coupled Simulation of Nonequilibrium
                      Embedding Procedure Assistance into Mission Control Tools                                                     Hypersonic Flows with Ablation
                      TRACLabs, Inc. .................................................................................... 49        CFD Research Corporation .................................................................. 65
                      An	Efficient	Parallel	SAT	Solver	Exploiting	Multi-Core	Environments                                           Multi-Layered Integrated Airframe System
                      Aries Design Automation, LLC ............................................................. 50                 Fiber Materials, Inc. .............................................................................. 66
                      Efficient	Integration,	Validation	and	Troubleshooting	in	Multimodal	                                          Integrated	Inflatable	Ballute	for	Planetary	Entry
                      Distributed Diagnostic Schemes                                                                                CFD Research Corporation .................................................................. 67
                      Qualtech Systems, Inc. ........................................................................ 51
                                                                                                                                    Ionomer-membrane Water Processor System Design and EDU
                      Brine Dewatering Using Ultrasonic Nebulization                                                                Demonstration
                      UMPQUA Research Company ............................................................. 52                      Paragon Space Development Corporation .......................................... 68
                      A	Compact,	Efficient	Pyrolysis/Oxidation	System	for	Solid	Waste	                                              Ontological Models to Support Planning Operations
                      Resource Recovery in Space                                                                                    TRACLabs, Inc. .................................................................................... 69
                      Advanced Fuel Research, Inc. ............................................................. 53
                                                                                                                                    Automation for Vehicle and Crew Operations
                      Multifunctional B/C Fiber Composites for Radiation Shielding                                                  Qualtech Systems ................................................................................ 70
                      Materials Modification, Inc. .................................................................. 54
                                                                                                                                    Graded Density Carbon Bonded Carbon Fiber (CBCF) Preforms for
                      Carbon Foam Self-Heated Tooling for Out-of-Autoclave Composites                                               Lightweight Ablative Thermal Protection Systems (TPS)
                      Manufacturing                                                                                                 Fiber Materials, Inc. .............................................................................. 71
36                    Touchstone Research Laboratory, Ltd. ................................................ 55
Neutron Spectroscopy                                                A
                                                                           I utomation for Vehicle and Habitat Operations


       Spectroscopic Dosimeter                                             Enhancing NASA's Procedure Representation Language to
       Merril Corporation of Utah, dba MSI Photogenics                     Support Planning Operations
                                                                           TRACLabs, Inc.

       Technical Abstract                                                  Technical Abstract
       Analysis of Phase I test data demonstrates that the Photogenics     Automation and autonomy are key elements in realizing the
       Spectroscopic Dosimeter will detect neutron energies from 0.8       vision for space exploration. The NASA Exploration Technology
       up to 600 MeV. The detector efficiencies in the energy region of    Development Program (ETDP) has been developing several
       interest to NASA of 0.5 to 150 MeV were predicted by MCNP-X         core autonomy capabilities, one of which is called a procedure
       models. These models were partially confirmed by the tests at       representation language (PRL). PRL can be automatically
       the EAL and LANSCE, with a high confidence in the data for the      translated into code that can be executed by NASA-developed
       1-14 MeV range and a confirmation of the detector’s spectroscopic   autonomous executives. Another type of automation being
       capabilities between 15-150 MeV. Further analysis of the high       developed by ETDP is automated planning aids. These will be
       energy data will be performed in Phase II. Using the detection      needed to increase the number of missions that existing levels
       efficiencies determined Phase I and the IRCP74 damage               of flight personnel must be able to handle. But PRL has few
       coefficients, doses have been calculated for the neutron fluxes     constructs to enable automated planners and schedulers to take
       encountered in the test facilities. During Phase II a full-scale    advantage of the procedures resulting from PRL. In Phase 1
       working model of the spectroscopic dosimeter will be fabricated     we developed extensions to PRL to add planning information
SBIR




                                                                                                                                                    SBIR
       and tested.                                                         resource, constraints and sub-procedural information so as to
                                                                           produce code useable by automated planning software. In this
       Company Contact                                                     project, we propose to develop an interactive planning aid for flight
       David Slaughter                                                     controllers to show that such an aid can process our enhanced
       (801) 374-6722                                                      PRL files to generate mission plans and to test their feasibility
       david.slaughter@missionsupport.us
                                                                           via an execution system. Besides refining our previous modeling
       NASA COTR Contact                                                   efforts, this work will show that the availability of computer-useable
       Tore Straume                                                        planning information can lead to practical applications of NASA’s
       (650) 604-3943                                                      automated planning efforts.
       tstraume@mail.arc.nasa.gov
                                                                           Company Contact
                                                                           Russell Bonasso
                                                                           (281) 483-2738
                                                                           r.p.bonasso@nasa.gov

                                                                           NASA COTR Contact
                                                                           Jeremy Frank
                                                                           (650) 604-2524
                                                                           Jeremy.D.Frank@nasa.gov




       2007 Phase II                                                       2007 Phase II
 38    Proposal X14.03-8416                                                Proposal X1.01-9152
                                                                                                                                                     39
Automation for Vehicle and Habitat Operations                         R
                                                                             I eliable Software for Exploration Systems


       Procedure Integrated Development Environment (PRIDE)                  Efficient Techniques for Formal Verification of PowerPC 750
       S&K Aerospace                                                         Executables
                                                                             Aries Design Automation, LLC

       Technical Abstract                                                    Technical Abstract
       NASA captures and distributes operational knowledge in the form       We will develop an efficient tool for formal verification of PowerPC
       of procedures. These procedures are created and accessed by           750 executables. The PowerPC 750 architecture is used in
       a range of people performing many different jobs. These people        the radiation-hardened RAD750 flight-control computers that
       have different needs for procedure data and different ways of         are utilized in many space missions. The resulting tool will be
       interacting with procedures. We propose an Procedure Integrated       capable of formally checking: 1) the equivalence of two instruction
       Development Environment which will present different editing          sequences; and 2) properties of a given instruction sequence.
       modes and different views depending on the users and tasks, but       The tool will automatically introduce symbolic state for state
       will use a consistent data representation for all users. We propose   variables that are not initialized and for external inputs. We
       to connect the editing environment to other tools and systems that    bring a tremendous expertise in formal verification of complex
       are useful to procedure development, including recon databases        microprocessors, formal definition of instruction semantics,
       and verification tools. We propose to build this environment on the   and efficient translation of formulas from formal verification to
       basis of an existing prototype, PRIDE, which was developed for        Boolean Satisfiability (SAT). We will also produce formally verified
       the Engineering Directorate of Johnson Space Center.                  definitions of the PowerPC 750 instructions used in the project,
SBIR




                                                                                                                                                    SBIR
                                                                             expressed in synthesizable Verilog; these definitions could
       Company Contact                                                       be utilized for formal verification and testing of PowerPC 750
       Arthur Molin                                                          compatible processors, for FPGA-based emulation of PowerPC
       (281) 480-1453                                                        750 executables, as well as in other formal verification tools to be
       amolin@ska-corp.com
                                                                             implemented in the future.
       NASA COTR Contact
                                                                             Company Contact
       Jeremy Frank
       (650) 604-2524                                                        Miroslav Velev
       Jeremy.D.Frank@nasa.gov                                               (773) 856-6633
                                                                             miroslav.velev@aries-da.com

                                                                             NASA COTR Contact
                                                                             Andre Goforth
                                                                             (650) 604-4809
                                                                             agoforth@mail.arc.nasa.gov




       2007 Phase II                                                         2007 Phase II
 40    Proposal X1.01-9651                                                   Proposal X1.02-8523
                                                                                                                                                     41
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ARC_SBIR_TechInvestments_Handbook_2012

  • 1. National Aeronautics and Space Administration Ames Research Center SBIR/STTR Technology Investments January 2012 www.nasa.gov
  • 2.
  • 3. SBIR/STTR Foreword The Small Business Innovation Research (SBIR) Program This technology portfolio highlights new innovations developed provides opportunities for small, high technology companies to via SBIR and STTR Phase II contracts that are managed by participate in Government sponsored research and development subject matter experts at Ames Research Center. Included is a (R&D) efforts in key technology areas. brief description of the research and development efforts ending in This program provides significant sources of seed funding for the December of 2010, or ongoing through 2013. These technologies development of innovations. *Current SBIR Phase I contracts last have created partnership opportunities between small businesses for 6 months with a maximum funding of $125,000, and Phase II and NASA. NASA’s goal is to encourage program and project contracts last for 24 months with a maximum funding of $750,000. managers, prime contractors, and others to make use of these new technologies under development by the SBIR/STTR Program The STTR Program awards contracts to small business concerns community to leverage their own efforts. All abstracts for these (SBC’s) for cooperative research and development with a technologies can be found online at www.sbir.nasa.gov. nonprofit research institution (RI), such as a university. The STTR *Phase I contract is an opportunity to establish the feasibility and Please note, if program or project funding is available, no further technical merit of a proposed innovation with projects receiving competition is necessary to award an SBIR Phase III contract. up to $125,000 for a 1 year effort. STTR Phase II contracts continues the most promising Phase I projects based on scientific For further assistance contact: and technical merit, expected value to NASA, and commercial Kimberly Hines potential. STTR Phase II contracts are limited to $750,000 for 2 Technology Infusion Manager, years. NASA Ames Research Center (650) 604-5582 Kimberly.K.Hines@nasa.gov * Award amounts subject to change.
  • 4. Expedited Procurement for Technology Development or Research Support Areas of Research NASA may award Phase III contracts for products or services with non-SBIR/STTR funds. The competition for SBIR/STTR Phase I The technologies described herein were solicited for in alignment with NASA Mission Directorates. and Phase II awards (by any federal agency) satisfies competition requirements of the Armed Services Procurement Act, the Federal At the time of the solicitations, the mission directorates were: Property and Administrative Services Act, and the Competition • • Aeronautics Research ................pg. 6 Aeronautics in Contracting Act. Therefore, an agency that wishes to fund a • • Exploration Systems .................pg. 36 Exploration Phase III project is not required to conduct another competition in order to satisfy those statutory provisions. Phase III work may • • Science .......................................pg. 72 Science be for products, production, services, R/R&D, or any combination • • Space Operations ....................pg. 108 Science Operation thereof that is derived from, extends, or logically concludes efforts performed under prior SBIR funding agreements, from any • STTR ......................................... pg. 114 government agency. A federal agency may enter into a Phase III agreement at any time with a Phase I or Phase II awardee. There is no limit on the number, duration, type, or dollar value of Phase III awards made to a business concern. There is no limit on the time that may elapse between a Phase I or Phase II and a Phase III award. The small business size limits for Phase I and Phase II awards do not apply to Phase III awards. NASA wide SBIR search tool: https://ehb8.gsfc.nasa.gov/sbir/public/technologySearch/ searchAction.do?requestFrom=NASASBIRHome Government wide SBIR search tool: http://web.sba.gov/tech-net/public/dsp_search.cfm For assistance with any of your SBIR search needs, you may contact: Kimberly Hines Josh Holtrust Technology Infusion Manager SBIR Program Assistant kimberly.k.hines@nasa.gov joshua.a.holtrust@nasa.gov 650-604-5582 650-604-2235
  • 5. Microscopic Analysis and Modeling of Airport Surface Sequencing Flight Adaptive Blade for Optimum Rotor Response (FABFORR) Mosaic ATM, Inc. .................................................................................. 8 Continuum Dynamics, Inc. ................................................................... 24 Rapid Estimation of Aircraft Performance Models using Differential Stochastic Queuing Model Analysis to Support Airspace Super Vortex Panel Method and Extended Kalman Filter Density Operations (ASDO) Optimal Synthesis................................................................................. 9 Optimal Synthesis, Inc.......................................................................... 25 Advanced Data Mining and Deployment for Integrated Vehicle Market Mechanisms for Airspace Flow Program Slots Health Management and the Space Vehicle Lifecycle Metron Aviation, Inc. ............................................................................. 26 Michigan Aerospace Corporation ........................................................ 10 Unmanned Aerial Vehicle Integration into the NAS Computational Model and Measurement Tool for Evaluating the Metron Aviation, Inc. ............................................................................. 27 Design of Flight Deck Technologies ATC Operations Analysis via Automatic Recognition of Clearances Aptima, Inc. .......................................................................................... 11 Mosaic ATM, Inc. .................................................................................. 28 Elastomeric Dampers derived from First-Principles-Based Estimation and Prediction of Unmanned Aerial Vehicle Trajectories Analytical Simulation Numerica Corporation .......................................................................... 29 Materials Technologies Corporation ..................................................... 12 Aeronautics Research Accelerating ATM Optimization Algorithms Using High Performance Computational Wind Tunnel: A Design Tool for Rotorcraft Computing Hardware Sukra Helitek, Inc. ................................................................................ 13 Optimal Synthesis, Inc.......................................................................... 30 On-Demand Special Use Airspace Probabilistic Remaining Useful Life Prediction of Composite Aircraft Metron Aviation, Inc. ............................................................................. 14 Components Trajectory Design to Benefit Trajectory-Based Surface Operations Global Engineering and Materials, Inc ................................................. 31 Optimal Synthesis, Inc.......................................................................... 15 Distributed Data Mining for Aircraft Health Management A Robust Flare Planning Logic for Unmanned Mitek Analytics LLC .............................................................................. 32 Aerial Vehicle Applications A High Order Accuracy Computational Tool for Unsteady Turbulent Aurora Flight Sciences Corporation ..................................................... 16 Flows and Acoustics Prognostic and Fault Tolerant Reconfiguration Strategies for Frendi Research Corporation ............................................................... 33 Aerospace Power Electronic Controllers and Electric Machines RotCFD: A Viscous Design Tool for Advanced Configurations Impact Technologies, LLC.................................................................... 17 Sukra Helitek, Inc. ................................................................................ 34 ACES-Based Testbed and Bayesian Game-Theoretic Framework for Dynamic Airspace Configuration Intelligent Automation, Inc. ................................................................... 18 Use-Driven Testbed for Evaluating Systems and Technologies (U-TEST) Aptima, Inc. .......................................................................................... 19 Integrated Design and Analysis Environment for Safety Critical Human-Automation Systems Barron Associates, Inc. ........................................................................ 20 Physical Modeling for Anomaly Diagnostics and Prognostics Ridgetop Group, Inc............................................................................. 21 Interfacial Design of Composite Ablative Materials Advanced Cooling Technologies, Inc. ................................................. 22 Fiber-Coupled Spectrometer for TPS Materials ElectroDynamic Applications, Inc. ....................................................... 23 7
  • 6. Next Generation Air Transportation System - Airspace Adaptive Flight Control I Microscopic Analysis and Modeling of Airport Surface Sequencing Rapid Estimation of Aircraft Performance Models using Differential Mosaic ATM, Inc. Vortex Panel Method and Extended Kalman Filter Optimal Synthesis Technical Abstract Technical Abstract Although a number of airportal surface models exist and have The problem of estimating the aerodynamic models for flight been successfully used for analysis of airportal operations, only control of damaged aircraft using an innovative differential vortex recently has it become possible to conduct detailed validation of lattice method tightly coupled with an extended Kalman filter was such models through the use of airport surface surveillance data. investigated during the Phase I research. The approach exploited In this effort, we propose to go a step further than existing models, prior knowledge about the undamaged aircraft to reduce the order by actually incorporating empirically-derived airport surface of the estimation problem. Probing maneuvers were designed to control practices into NASA’s overall airportal simulation modeling improve the observability of the system dynamics. The derived capability. This effort will produce tools to support fundamental performance model was then be used to determine the aircraft research of the concept and requirements for airportal operations flight envelope, performance parameters and the maneuver limits. in the Next Generation Air Transportation System (NextGen) by The estimated data can be used as the basis for designing safe providing microscopic airportal surface modeling components landing guidance laws for damaged aircraft. Phase II research that provide higher fidelity and greater validity of modeling than will refine the algorithms developed during the Phase I research previously available. Through this effort we will use the Surface and create a standalone software implementation. Structural SBIR SBIR Operations Data Analysis and Adaptation (SODAA) tool to conduct dynamic computations and control power estimation will be detailed analysis of airport surface operations using actual data. included in the software. Operation of the software will then be demonstrated at near real-time speeds. All the algorithms and Company Contact software developed under the proposed research will be supplied Bryan Wood to NASA at the end of Phase II. Human-in-the-loop simulations (800) 405-8576 and flight test evaluation of the system will be undertaken during wood@mosaicatm.com the Phase III work. NASA COTR Contact Company Contact Shawn Engelland (817) 858-7634 P. K. Menon Shawn.Engelland@nasa.gov (650) 559-8585 menon@optisyn.com NASA COTR Contact Diana M. Acosta (650) 604-4585 Diana.M.Acosta@nasa.gov 2007 Phase II 2007 Phase II 8 Proposal # 07-02 A3.02-8835 Proposal # 07-2 A1.04-8554 9
  • 7. Technologies for Improvement Design Data Mining for Integrated Vehicle Health Management I and Analysis of Flight Deck Automation Advanced Data Mining and Deployment for Integrated Vehicle Computational Model and Measurement Tool for Evaluating the Health Management and the Space Vehicle Lifecycle Design of Flight Deck Technologies Michigan Aerospace Corporation Aptima, Inc. Technical Abstract Technical Abstract In a successful Phase 1 project for NASA SBIR topic A1.05, “Data The runway safety issue has been on the Most Wanted list of the Mining for Integrated Vehicle Health Management,” Michigan National Transportation Safety Board since the list’s inception Aerospace Corporation (MAC) demonstrated its SPADE anomaly in 1990. The FAA has responded by implementing two ground detection software to key personnel in NASA’s Intelligent surveillance technologies at major U.S. airports to reduce the Systems Division (ISD) and with data from our partners at risk of runway incursions. However, both technologies route Boeing, SpaceX and GMV Space Systems. The feedback from information through air traffic control (rather than directly to these demonstrations was used to establish future development pilots), which significantly delays safe responses. Several flight directions for Phase 2. Phase 2 will consist of three major deck technologies that communicate information directly to pilots efforts: 1) the design and implementation of the Taiga system, are currently in development. However, there is a need for tools a next-generation enhancement of the SPADE software, 2) an to rapidly test the flight deck technologies early in the design investigation into combining complementary functionality of Taiga process and measure their impact on pilot performance prior with existing code at ISD including the Inductive Modeling System, to implementation. We propose to develop two tools that can Mariana and others, and 3) the implementation of a prototype be used together or independently to evaluate performance of SBIR SBIR automatic parallelizer, in cooperation with subcontractor Optillel flight deck technologies aimed at improving runway safety. We Solutions, for a subset of C++ useful for hardware acceleration will deliver a computational cognitive model (Adaptive Control of of machine learning applications. The scope of the interaction Thought-Runway Safety; ACT-RS) that realistically emulates pilot with researchers in NASA ISD will be to explore the relationships performance, thus reducing the need for human pilots early in the between IMS and Taiga and gauge benefits such a Data Handling, design process. In addition, we will deliver a measurement tool Feature Reduction, Visualization and Explainability. We will also (Performance Measurement (PM) Engine) that can measure the investigate heterogeneous ensemble methods by analyzing the impact of the flight deck technology on the performance of ACT- Mariana system. Optillel’s C++ Parallelizer will reduce MAC’s RS and a human pilot, making it useful across the technology development costs for parallelizing C++ code for multi-core chips lifecycle. and clusters. This effort will build on Optillel’s existing body of work that supports graphical programming languages, and will extend Company Contact their technology to the analysis and parallelization of C++ code. Jeff Jungemann Both the Taiga system and Optillel’s prototype have significant (202) 842-1548 jeff337@gmail.com commercialization potential in industries as diverse as Chemical, Pharmaceutical, Manufacturing and Aerospace. NASA COTR Contact James C Johnston Company Contact NASA COTR Contact (650) 604-5686 John Trenkle Nikunj Oza james.c.johnston@nasa.gov (734) 975-8777 (650) 604-2978 jtrenkle@michiganaerospace.com Nikunj.C.Oza@nasa.gov 2007 Phase II 2007 Phase II 10 Proposal A1.05-9348 Proposal A1.12-9786 11
  • 8. Rotocraft Rotocraft I Elastomeric Dampers derived from First-Principles-Based Computational Wind Tunnel: A Design Tool for Rotorcraft Analytical Simulation Sukra Helitek, Inc. Materials Technologies Corporation Technical Abstract Technical Abstract Lead-lag motions of rotor blades in helicopters require damping During initial design studies, parametric variation of vehicle to stabilize them. In practice, this has necessitated the use of geometry is routine. In addition, rotorcraft engineers traditionally external hydraulic dampers which suffer from high maintenance use the wind tunnel to evaluate and finalize designs. Estimation costs. High operational (lifecycle) cost has prompted rotorcraft of rotor tunnel blockage is significantly more complex than bluff industry to use elastomeric lead-lag dampers that result in “dry’’ body corrections as the correction depends on operational rotors. However, complex behavior of elastomers provides characteristics such as rotor RPM and thrust produced. This challenges for modeling such devices, as noted by rotorcraft proposal offers to develop an Integrated Design Environment airframers. Currently used analytical models oversimplify (IDE) which can simulate a complete rotorcraft with or without wind the complexity of operational environment and make radical tunnel walls including all the facility effects. At the heart of the assumptions about operating parameters that, at best, lead innovation are: 1. An automated hybrid grid generator (viscous to excessively simplistic, and often unreal, device models. grids near the bodies and unstructured Cartesian grid everywhere These first order linear device models require costly and time else). 2. A robust and economical incompressible flow solver for consuming experiments to construct them; moreover, they do the entire system of grids. 3. Momentum source based rotor model SBIR SBIR not directly relate to either the material characteristics or the that is suitable and economical for simulating configurations geometric configuration. In Phase-I SBIR, MTC team pursued a with multiple rotors. In Phase I, the proof-of-concept developed fundamentally radical approach wherein elastomeric dampers used unstructured Cartesian grid for the model and wind tunnel. are derived from first-principle-based modeling rather than device In phase II, the tool will be extended to hybrid grid with viscous model-based analyses. Our Phase-I program was tailored towards grid near solid surfaces and will include several tools including a successfully demonstrating closed loop simulation, i.e. a finite simple CAD like geometry manipulation tool and pre- and post- element based modeling of elastomeric materials integrated into processing tools all integrated in one environment to facilitate a multibody dynamics framework for rotorcraft analysis. During ease of use. Phase-II, comprehensive and sophisticated material models will be implemented and streamlined into a single comprehensive Company Contact analysis framework. These implementations will be fully validated Angela Lestari against bench and flight test data of Bell M429 elastomeric (515) 292-9646 nappi@sukra-helitek.com dampers. These program objectives will be accomplished via collaborative tripartite partnership with Bell Helicopter and Georgia NASA COTR Contact Tech. Gloria Yamauchi (650) 604-6719 Company Contact NASA COTR Contact gloria.k.yamauchi@nasa.gov Yogesh Mehrotra Sesi Kottapalli (203) 874-3100 (650) 604-309 ymehrotra@aboutmtc.com Sesi.B.Kottapalli@nasa.gov 2007 Phase II 2007 Phase II 12 Proposal A2.10-8476 Proposal A2.10-8873 13
  • 9. Next Generation Air Transportation System - Airspace Next Generation Air Transportation System - Airspace I On-Demand Special Use Airspace Trajectory Design to Benefit Trajectory-Based Surface Operations Metron Aviation, Inc. Optimal Synthesis, Inc. Technical Abstract Technical Abstract We design and develop a Decision Support Tool (DST) that Trajectory-based operations constitute a key mechanism supports On-Demand Special Use Airspace (SUA) scheduling and considered by the Joint Planning and Development Office (JPDO) flight plan optimization around SUA between Airline Operations for managing traffic in high-density or high-complexity airspace Control (AOC), Military, Air Traffic Control System Command in the Next-Generation Air Transportation System (NextGen). Center (ATCSCC), and Air Route Traffic Control Center (ARTCC) With this concept applied to surface operations at major airports, personnel. The tool allows AOC and ARTCC Traffic Management NASA’s NextGen-Airportal Project is exploring the use of surface Unit (TMU) personnel to coordinate strategic and tactical plans, 4-dimensional (4D) trajectories, which use required times of arrival with a strategic look ahead time from days to less than 2 hours, (RTAs) at selected locations along the route. Observing these and tactical plans up to the minute centered locally around RTAs as constraints along the taxi route, the flight still has many an ARTCC airspace. The tool coordinates aircraft movement degrees of freedom in adjusting its state profiles (i.e., position, though vs around SUA. The tool allows for asynchronous velocity, etc. as functions of time) to achieve the timing constraints. communication of priorities associated with flight plans and flight This research will investigate whether and how these degrees of plan amendments (contingency plans) between the AOC and freedom in trajectory control may be used to achieve desirable SBIR SBIR ARTCC TMU specialist, allowing the ATCSCC and Military to view behaviors for the taxi operations. Previous research has applied these priorities and TMU responses to them at any time. This the trajectory control freedom to assure passenger comfort by technology will be developed to Technology Readiness Level keeping the accelerations and decelerations within pre-specified (TRL) 2 at the end of Phase I, and TRL 4 prototype system by the limits, and yet there is still untapped flexibility in designing the end of Phase II. trajectories. The proposed research will explore this trajectory design problem to achieve additional desirable behaviors, Company Contact beginning with the consideration of fuel burn, emissions, and Jimmy Krozel noise. A flight-deck automation experimental prototype will provide (503) 274-8316 the platform for simulating the designs, augmented by models krozel@metronaviation.com developed to evaluate environmental benefits. The findings NASA COTR Contact will benefit future designs of flight-deck automation systems, Parimal Kopardekar as well as tower automation systems which rely on accurate (650) 604-2782 understanding of the flight deck’s operational behaviors to plan Parimal.H.Kopardekar@nasa.gov efficient and safe operations for the entire surface traffic. Company Contact NASA COTR Contact Victor Cheng David Foyle (650) 650-8585 (650) 604-3053 vcheng@optisyn.com david.foyle@nasa.gov 2007 Phase II 2008 Phase II 14 Proposal A3.01-9057 Proposal A3.02-8623 15
  • 10. Robust Flare Planning and Guidance for Integrated Diagnosis and Prognosis of Aircraft Anomalies I Unimpaired and Impaired Aircraft A Robust Flare Planning Logic for Unmanned Prognostic and Fault Tolerant Reconfiguration Strategies for Aerial Vehicle Applications Aerospace Power Electronic Controllers and Electric Machines Aurora Flight Sciences Corporation Impact Technologies, LLC Technical Abstract Technical Abstract Aurora Flight Sciences proposes to develop a flare planning Impact Technologies has proposed development of a real-time methodology that would provide aircraft guidance during this prognostic and fault accommodation system for power converters critical phase of flight. The algorithms that Aurora seeks to and electro-mechanical (EM) drive applications. The main leverage the reachability problem in the fields of Optimal Control goal for this program is development of techniques that enable and Hybrid Systems, using Rapidly-Exploring Random Trees fault tolerant control based on diagnostic features from the coil (RRTs) and Falsification theory. To this end, Aurora proposes winding and power transistors. During Phase I, Impact achieved the innovation of applying a suitable version of these algorithms substantial and promising results in three main technical areas to the design of a flare maneuver guidance and planning logic. that provide opportunities to maturing tools that enable PHM The planner will be capable of dynamically producing a flare and reconfiguration techniques. The technical areas include: maneuver that does not violate the aircraft flight envelope and Transistor Performance, Motor/Actuator Performance, and other stipulated constraints. The planner will meet the robustness Fault Tolerant Reconfiguration. During Phase II, a significant requirements stipulated in the topic solicitation; namely, it will effort will be employed to further develop the automated ringing apply to both impeded and unimpeded aircraft, and it will operate feature extraction feature, leakage current sensing capabilities, SBIR SBIR under significant weather disturbances. The main technical and reconfiguration techniques for continued motor operation. challenge in developing the planning logic is extending and These efforts will lead to development of prototype sensors for applying the chosen control algorithms to 6-DOF aircraft dynamics IGBT aging detection and current leakage detection as a health models under the required variety of operating conditions. The indicator of aging effects in power drives. Moreover, Impact ultimate goal of the Phase 2 effort is to demonstrate Aurora’s will demonstrate reconfigurable control techniques for fault algorithms in an appropriately sophisticated Hardware-in-the-loop accommodations in EM applications. The long term implications simulation of an impaired aircraft during a flare maneuver. of a successful completion of this program will provide reliability and health management tools for mission and safety critical Company Contact applications for NASA, commercial, and military enterprises. Dr. Antonio Abad (617) 500-7048 Company Contact aabad@aurora.aero Antonio Ginart (404) 526-6188 NASA COTR Contact antonio.ginart@impact-tek.com Corey Ippolito (650) 604-1605 NASA COTR Contact corey.a.ippolito@nasa.gov Scott Poll (650) 604-2143 scott.poll@nasa.gov 2008 Phase II 2008 Phase II 16 Proposal A1.09-9907 Proposal A1.11-8886 17
  • 11. NextGen Airspace NextGen Airspace I ACES-Based Testbed and Bayesian Game-Theoretic Framework Use-Driven Testbed for Evaluating Systems and Technologies for Dynamic Airspace Configuration (U-TEST) Intelligent Automation, Inc. Aptima, Inc. Technical Abstract Technical Abstract This SBIR effort is focused on developing a Dynamic Airspace NextGen will require the development of novel solutions to shape Configuration (DAC) concept where-in ARTCCs can benefit from the airspace of tomorrow. Along with the ability to generate new re-configuring airspaces based on Traffic Flow Management systems and technologies comes the need to rigorously evaluate, (TFM) restrictions, and the development of a preliminary Airspace and eventually validate, the effectiveness of these concepts. Concept Evaluation System (ACES)-framework and initial However, it is often challenging to translate simulation data into algorithms to demonstrate that ARTCCs need to engage in a useful, integrated, and contextually-based assessments. Many coordination framework of exchanging TFM restriction until they critical findings are not identified for this reason, which could determine mutually-agreeable optimal airspace configuration. otherwise guide researchers toward advancements with NextGen The development of algorithms that leverage and recognize the technologies. Aptima proposes to develop the Use-driven Testbed interactions and interdependencies between DAC and TFM is for Evaluating Systems and Technologies (U-TEST), a flexible the key innovation of this effort. Some examples of expected toolset that helps NextGen researchers to efficiently extract operational improvements include 1) reduction in congestion findings on pilot performance in simulated flight environments. and delays when sector capacities (Monitoring Alert Parameter Three primary components are: (1) context-capturing software will SBIR SBIR or Dynamic Density) are violated, 2) reduction in controller guide researchers to key events and allow important contextual workload and improved safety, 3) ability to accommodate user information to be gathered for analysis; (2) a data integration preferred routes and weather uncertainty and 4) achieve a platform that will automate organization of data sources into a balance between airborne delay and grounding holding delay. The format conducive to analysis; and (3) context-based analysis SBIR Phase-I effort demonstrated how a combined DAC-TFM software that will enable deep, focused analysis by combining algorithm determines an optimal airspace configuration different a quick-look function, an algorithm for focusing analysis, and from a DAC-only algorithm and could result in minimization of context-based playback of key events and trials. U-TEST will be peak count and dwell time variance. The effort also included an extensible toolset that can help NextGen researchers improve the design and preliminary implementation of a TFM model that the amount and quality of findings across a range of studies. uses ARTCC sector configuration to determine the delays that is generated, absorbed and propagated. The Phase II effort includes Company Contact development of DAC-TFM framework as an enhancement to Kevin Durkee NASA’s ACES- DADS (Dynamic Airspace Design Service) work (937) 306-7747 kdurkee@aptima.com and interaction of NASA’s airspace partitioning DAC algorithms such as MxDAC, DAU slicing and Sector Combination algorithms NASA COTR Contact with the TFM models using the same framework. Walter Johnson (650) 604-3667 Company Contact NASA COTR Contact walter.johnson@nasa.gov Goutam Satapathy Larry Meyn (301) 294-5249 (650) 604-5038 goutam@i-a-i.com larry.a.meyn@nasa.gov 2008 Phase II 2008 Phase II 18 Proposal A3.01-8875 Proposal A3.01-9466 19
  • 12. Technologies for Improved Design and Analysis Prognosis of Aircraft Anomalies I of Flight Deck Systems Integrated Design and Analysis Environment for Safety Critical Physical Modeling for Anomaly Diagnostics and Prognostics Human-Automation Systems Ridgetop Group, Inc. Barron Associates, Inc. Technical Abstract Technical Abstract Numerous advances have been made in recent years in the areas of Ridgetop developed an innovative, model-driven anomaly diagnostic flight deck design, aircraft modeling, resilient control, and vehicle health and fault characterization system for electromechanical actuator (EMA) management. The combination of these complementary technologies systems to mitigate catastrophic failures. Ridgetop developed a MIL- promises to revolutionize aircraft systems and operations safety in STD-1553 bus monitor and a MIL-STD-1553 bus controller that simulates the decades ahead. However, the task of safely integrating these the aircraft data bus, reads the environmental (i.e., altitude) and technologies is becoming increasingly difficult as their level of complexity, operational (i.e., response of system) data of a system and determines degree of automation, and demands from their operational environment if a fault is manifesting; and if true determines the root cause and grow. The Next Generation Air Transport System (NextGen), while symptoms of the fault. Once an anomaly is detected, the Model-based providing significant benefits in terms of increased capacity and Avionic Prognostic Reasoner (MAPR) solves a user-outlined state-space safety, will exacerbate this situation due to the large numbers of model, symbolically, using a Gauss-Newton optimization method and the new and existing systems that will be required to interoperate. The information from the MIL-STD-1553 bus. This algorithm outputs a list of multidisciplinary nature of these systems is a significant factor that best fitting parameters to match the command to the actual performance. makes analyzing their safety characteristics extremely difficult. While Rules are programmed in, based on results from principal component many development tools exist to conduct deep analyses within individual analysis . The rules determine both fault mode and the severity of that SBIR disciplines, there is a lack of tools available for deep analysis of complex fault. The rules can distinguish between two failure modes: Mechanical SBIR multidisciplinary designs. The proposed research seeks to create a jam and MOSFET failure, and healthy. The real-time processing will new class of development tool that will allow designers of complex allow for critical evolutions in flight safety and provides a game-changing systems-of-systems to explore the dynamic interactions between approach to condition-based maintenance. Once deployed, flight safety system components to uncover systemic vulnerabilities, precursory can be improved by allowing the on-board flight computers to read from conditions, and likely outcomes. The Phase I project generated an the MAPR and update their control envelope based on its evaluations, initial implementation of the software package Idea, an Integrated reducing damage propagation and increasing operational safety. In Design and Analysis Environment that could be used to model complex Phase 2, we will develop a functioning ground-based prototype of the interdependencies between flight deck operations, flight deck controls technology to show the efficacy of the method. A ground-based version and display, and the underlying physical components of the aircraft. of the tool is the best candidate for development to ease adoption by The proposed Phase II effort will mature this software and expand its testing in a low-risk environment; this tool will be demonstrated at the capabilities, resulting in a flexible, standards-compliant tool that is ready end of Phase 2. The MAPR concept is also applicable to any system with for beta testing and subsequent commercialization. It will focus on a state-space representation but at this point it has been developed with enhancements that support cross-disciplinary modeling and analysis of EMAs in mind. The MAPR prototype is at TRL 5 and will reach a TRL 7 safety-critical human-automation systems. by the end of Phase 2. Company Contact NASA COTR Contact Company Contact NASA COTR Contact Michael DeVore Michael S Feary Neil Kunst Edward Balaban (434) 973-1215 (650) 604-0203 (520) 742-3300 (650) 604-5655 devore@bainet.com Michael.S.Feary@nasa.gov neil.kunst@ridgetopgroup.com Edward.Balaban@nasa.gov 2009 Phase II 2009 Phase II 20 Proposal A1.06-8711 Proposal A1.12-9941 21
  • 13. Materials and Structures for Future Aircraft Aerothermodynamics I Interfacial Design of Composite Ablative Materials Fiber-Coupled Spectrometer for TPS Materials Advanced Cooling Technologies, Inc. ElectroDynamic Applications, Inc. Technical Abstract This Small Business Innovation Research (SBIR) project proposes Technical Abstract the development of a computational software package to provide EDA, Inc., in partnership with Penn State, has shown previously NASA with advanced materials development capabilities for that the concept of embedding fiber optics within ablative TPS existing and new ablative materials used in the next generation material has merit and should yield a successful implementation thermal protection systems (TPS) of space vehicles. This of a spectrometer “window” during a Phase-II development materials development software package (MDSAM) can be used program. Optical instrumentation, such as optical spectrometers to optimize properties (high strength and low thermal conductivity) would provide benchmark data for fundamental flow, radiation, for both the virgin material as well as the char that forms during and materials modeling as well as provide operational correlations the operating conditions. It will provide atomistic-level information between vehicle reentry drag and radiation if implemented in a on char evolution and the degradation of thermo-mechanical TPS flight test program. Without flight spectral data, and the properties. The proposed MDSAM will consist of the following two appropriate modeling efforts, the power of prediction to assist modules: (i) an experimentally validated, atomistic-level simulation in new heat shield design does not exist for reentry into other engine capable of predicting the role of interfacial structure on the planetary atmospheres. This is a severe limitation for future space exploration missions which FiberPlug helps address. SBIR resin-to-carbon process and (ii) atomistically-informed continuum- SBIR level thermo-mechanical performance analyzer for composite Company Contact ablative materials subjected to transient pyrolytic conditions. Dean Massey The underlying methodology and the software package will be (734) 786-1434 transitioned to NASA scientists working on ablative materials massey@edapplications.com development. In addition to developing a computational software package, we will address open, unsolved problems in the literature NASA COTR Contact to support NASA’s ablative materials development requirements. Michael Wilder In the course of developing this methodology, we will produce (650) 604-4569 significant scientific results on pyrolysis and materials properties michael.c.wilder@nasa.gov that will be important to NASA. Company Contact Tapan Desai (717) 295-6061 tapan.desai@1-ACT.com NASA COTR Contact John Lawson (650) 604-6189 John.W.Lawson@nasa.gov 2009 Phase II 2009 Phase II 22 Proposal A2.01-8833 Proposal A2.06-8042 23
  • 14. Rotocraft NextGen Airspace I Flight Adaptive Blade for Optimum Rotor Response (FABFORR) Stochastic Queuing Model Analysis to Support Airspace Super Continuum Dynamics, Inc. Density Operations (ASDO) Optimal Synthesis, Inc. Technical Abstract Technical Abstract While past research has demonstrated the utility and benefits to NASA has been involved in extensive research efforts to develop be gained with the application of advanced rotor system control advanced concepts and technologies, for the Next Generation concepts, none have been implemented to date on a production Air Transportation System (NextGen) under different Research military or commercial rotorcraft. A key contributor to this fact is Focus Areas (RFAs). The Airspace Super Density Operations the inherent cost associated with installation and maintenance of (ASDO) RFA seeks to develop efficient terminal area operations. these control systems, since many system designs require the It is expected that multiple ASDO concepts will be interacting replacement of a helicopter’s rotor blades, rotor hub components, with one another in a complex non-deterministic manner. or both. The proposed work addresses this deficiency through Therefore, the overall terminal system performance may not be the development of an on-blade full-span camber control system a straightforward combination of individual performance indices. that reaps many of the known benefits of advanced rotor control It is also crucial that the overall system performance be robust to in a retrofit design approach that has the potential to achieve wind and operational uncertainties. The proposed research effort production status due to its lower risks and costs compared to seeks to develop a fast-time, stochastic analysis tool based on previous system concepts. The design leverages past work in queuing theory that can be used to evaluate the interaction and SBIR SBIR the use of smart-material actuated bistable tabs for rotor blade combined performance of multiple ASDO concepts. The utility of tracking, with a newer integral actuation concept that will lead the approach was demonstrated under Phase I research. Phase toward a more robust and flightworthy design. II research seeks to achieve the following: (i) make enhancements to the modeling and simulation aspects of the approach, (ii) Company Contact accelerate the stochastic simulation execution time using high- Robert McKillip, Jr. performance computing solutions, (iii) create software plug-ins (609) 609-0444 for existing NASA research tools, (iv) conduct studies of NextGen bob@continuum-dynamics.com terminal area concepts using the queuing simulation, and (v) NASA COTR Contact develop a conflict free scheduling algorithm based on the queuing Sesi Kottapalli simulation. (650) 604-3092 Sesi.B.Kottapalli@nasa.gov Company Contact Monish Tandale (650) 559-8585 monish@optisyn.com NASA COTR Contact Douglas R Isaacson (650) 604-0874 Douglas.R.Isaacson@nasa.gov 2009 Phase II 2009 Phase II 24 Proposal A2.09-8823 Proposal A3.01-8549 25
  • 15. NextGen Airspace NextGen Airspace I Market Mechanisms for Airspace Flow Program Slots Unmanned Aerial Vehicle Integration into the NAS Metron Aviation, Inc. Metron Aviation, Inc. Technical Abstract Technical Abstract Metron Aviation, Inc. proposes to design a system to support a Technological innovations have enabled a wide range of aerial marketplace in which flight operators can exchange arrival slots vehicles that can be remotely operated. Viable applications in traffic flow management (TFM) initiatives such as airspace include military missions, law enforcement, border patrol, weather flow programs (AFPs) and ground delay programs (GDPs) while data collection, telecommunications, land use imaging, and cargo requiring no changes in FAA automation or procedures. The transport. NASA and other organizations have invested heavily in advent of AFPs in 2006 has generated many more potentially this unmanned aerial vehicle (UAV) research. UAVs can be flown exchangeable resources that would be valued sufficiently in the National Airspace System (NAS) today, but only with special differently by their owners to make a trade desirable. We believe permission from the FAA a process that often takes 60 to 90 days. that NAS users and the FAA would embrace such a marketplace Moreover, permission is often contingent on heavy restrictions, and that it would enable users to collectively reduce their such as accompanying the UAV with a manned chase plane, operating costs resulting from NAS congestion. Both FAA and thereby nullifying the cost savings of a UAV. Full fruition of UAV NASA research has highlighted the need for efficient and equitable technology will require incorporation of UAVs into mainstream allocation of NAS resources and increased operational flexibility. air traffic management (ATM) practices, including traffic flow SBIR SBIR Market-based mechanisms have been suggested for transferring management flow control programs and possible creation of system-imposed delay from more critical to less critical flights. No special use airspace (SUA). In this SBIR, we propose a UAV-to- such capability is available to NAS users today. In this SBIR, we traffic flow management (AIM-UAS) interface. This allows traffic will show how the advent of AFPs changes the forces at work in a managers to anticipate and track UAVs. In turn, this allows UAV slot-trading marketplace, making its functions much more valuable operators to understand their impact on commercial air traffic and to flight operators. their involvement in traffic management activities. Company Contact Company Contact Michael Brennan Robert Hoffman (703) 234-0743 (703) 234-0760 Michael.Brennan@ Robert.Hoffman@metronaviation.com metronaviation.com NASA COTR Contact NASA COTR Contact Douglas R Isaacson Arwa Aweiss (650) 604-0874 (650) 604-0730 Douglas.R.Isaacson@nasa.gov arwa.s.aweiss@nasa.gov 2009 Phase II 2009 Phase II 26 Proposal A3.01-8820 Proposal A3.01-8821 27
  • 16. NextGen Airportal NextGen Airspace I ATC Operations Analysis via Automatic Recognition of Clearances Estimation and Prediction of Unmanned Aerial Vehicle Trajectories Mosaic ATM, Inc. Numerica Corporation Technical Abstract Technical Abstract Recent advances in airport surface surveillance have motivated There is serious concern about the introduction of Unmanned the creation of new tools for analysis of Air Traffic Control (ATC) Aerial Vehicles (UAV) in the National Air Space (NAS) because operations, such as the Surface Operations Data Analysis and of their potential to increase the risk of collision between aircraft. Adaptation (SODAA) tool, which is being used by NASA to At present, many UAV platforms lack a Sense and Avoid (SAA) conduct airport ATC operations analysis. What is missing from capability to mitigate collision risk, and this has prevented both the ATC operations analysis, however, is accessible and reliable government and private contractors from using these platforms data regarding the clearances issued by the controller and other in critically needed reconnaissance, surveillance, and security communication conducted with the pilot that influences the enforcement missions. To demonstrate a SAA capability that is behavior seen in the surveillance data. The reliance on voice applicable to a wide range of UAV platforms, advanced trajectory communication in ATC operations presents challenges to the estimation and prediction algorithms are developed and used researcher who is trying to obtain data and conduct detailed to exploit a small collision avoidance radar currently under analyses of ATC operations. During the Phase I effort, we development for UAV operation. Collision prediction algorithms designed and developed a prototype system to perform automatic will assess potential risk in probabilistic terms using adaptive SBIR SBIR speech recognition (ASR) of ATC clearances. We demonstrated techniques that permit accurate predictions across long time the feasibility of recognizing ATC clearances from speech audio horizons. Techniques to ensure these predictions are robust data and associating the clearance data with the flight that is the to modeling uncertainty increase the utility the developed SAA subject of the clearance. In the Phase II effort, we will create a capability for realistic scenarios. complete prototype of the ATC speech recognition, processing and analysis capability in SODAA. In addition, we will integrate ATC Company Contact speech recognition capabilities into a real-time application in the Shawn Herman Surface Management System (SMS). (970) 461-2000 shawn.herman@numerica.us Company Contact NASA COTR Contact Chris Brinton (800) 405-8576 Douglas R Isaacson brinton@mosaicatm.com (650) 604-0874 Douglas.R.Isaacson@nasa.gov NASA COTR Contact Paul Borchers (817) 858-7647 Paul.F.Borchers@nasa.gov 2009 Phase II 2009 Phase II 28 Proposal A3.02-9691 Proposal A3.01-8419 29
  • 17. Concepts and Technology Development (CTD) P I rognosis of Aircraft Anomalies Accelerating ATM Optimization Algorithms Using High Probabilistic Remaining Useful Life Prediction of Composite Performance Computing Hardware Aircraft Components Optimal Synthesis, Inc. Global Engineering and Materials, Inc Technical Abstract Technical Abstract NASA is developing algorithms and methodologies for efficient air- A Probabilistic Fatigue Damage Assessment Network (PFDAN) traffic management. Several researchers have adopted an optimization toolkit for Abaqus will be developed for probabilistic life framework for solving problems such as flight scheduling, route management of a laminated composite structure with both assignment, flight rerouting, nationwide traffic flow management (TFM) microcracking induced stiffness degradation and cyclic loading and dynamic airspace configuration. Computational complexity of these induced delamination crack growth without remeshing. It is based problems have led investigators to conclude that in many instances, real time solutions are computationally infeasible, forcing the use of on a high fidelity Fatigue Damage Assessment Network (FDAN) relaxed versions of the problem to manage computational complexity. which includes 1) a coupled continuum damage and discrete crack The primary objective of the proposed research is to accelerate model for ply damage characterization; 2) a moment schema finite optimization algorithms that play central roles in NASA’s ATM research, element coupled with XFEM for efficient crack growth simulation by parallel implementation on emerging high performance computing in a thin ply; 3) a mixed mode fatigue delamination module to (HPC) hardware. The Phase I R&D effort implemented a Simplex- account for the mode mixity and failure mode interaction; and 4) based Dantzig-Wolfe (DW) decomposition solver that exploits both an adaptive fracture process zone model for mesh independent coarse-grain and fine-grain parallelism in the sub-problem and master delamination growth. A reduced-order model of FDAN will be SBIR iterations of the DW decomposition. The implementation also exploits SBIR generated using a combined response surface and a Gaussian the sparsity in the problems, to manage both memory requirements process surrogate model builder to perform the subsequent and run-times for large-scale optimization problems. This parallel implementation was used to solve a Traffic Flow Management (TFM) probabilistic analysis efficiently. For the module verification and problem with 17,000 aircraft (linear program with 7 million constraints), validation, experimental studies at the sub-component level will in 15 seconds. The implementation is 30¿ faster than the exact same be performed along with the use of a damage monitoring and code running on the CPU. It is also 16¿ faster than the NASA’s current characterization system. The developed toolkit will be used to solution that implements parallel DW decomposition using the GNU perform damage prognosis and risk informed life management Linear Programming Kit (GLPK) on an 8-core computer with hyper- using SHM data. GEM has secured commitments for technical threading. Based on the promising Phase I results, the Phase II R&D support and commercialization assistance from Clarkson effort will explore Mixed Integer Linear Programming (MILP) methods University, Sikorsky Aircraft, and Boeing. to solve optimization problems arising in the terminal area and on the airport surface, in addition to DW decomposition for the nationwide Company Contact TFM problem. Phase II work will develop operational prototypes of the Jim Lua algorithm implementations on HPC hardware, and deliver them to NASA (860) 367-4970 for further evaluation. jlua@gem-innovation.com Company Contact NASA COTR Contact NASA COTR Contact Monish Tandale TBA-Contract Under Negotiation TBA-Contract Under Negotiation (650) 559-8585 monish@optisyn.com 2010 Phase II 2010 Phase II 30 Proposal A3.01-8032 Proposal A1.12-8884 31
  • 18. Data Mining A I erothermodynamics Distributed Data Mining for Aircraft Health Management A High Order Accuracy Computational Tool for Unsteady Turbulent Mitek Analytics LLC Flows and Acoustics Frendi Research Corporation Technical Abstract Technical Abstract Aircraft Flight Operations Quality Assurance (FOQA) programs are Accurate simulations of unsteady turbulent flows for aerodynamics implemented by most of the aircraft operators. Vast amounts of FOQA applications, such as accurate computation of heat loads on space data are distributed between many computers, organizations, and vehicles as well the interactions between fluids and structures is geographic locations. This project develops methodology for transforming of utmost importance to the aerospace industry and NASA. Using such distributed data into actionable knowledge in application to aircraft a Finite Element Framework suited for both fluids and structures, health management from the vehicle level to the fleet level to the national level. The distributed data processing methodology provably obtains we propose to continue building on the successes of Phase I the same results as would be obtained if the data could be centralized. by adding various turbulence solution methodologies as well The data mining methods are efficient and scalable so that they can additional multi-disciplinary physics to address complex problems return results quickly for 10Tb of distributed data. This data mining with complex geometries, while maintaining high order accuracy of technology that we call Distributed Fleet Monitoring (DFM) developed the framework. in SBIR Phase I satisfies these requirements. The data are transformed into models, trends, and anomalies. The model training and anomaly Company Contact monitoring are formulated as convex optimization and decision problems. Kader Frendi SBIR The optimization agents are distributed over networked computers and (256) 824-7206 SBIR are integrated through remote connection interface in a scalable open kfrendi@knology.net grid computing framework. Though the data and the computations are distributed, they yield provably the same optimal solution that NASA COTR Contact would be obtained by a centralized optimization. DFM feasibility was TBA-Contract Under Negotiation demonstrated in the problem of monitoring aircraft flight performance from fleet data using large realistic simulated datasets. We demonstrated efficient computation of quadratic optimal solution by interacting distributed agents. The feasibility demonstration successfully recovered aircraft performance anomalies that are well below the level of the natural variation in the data and are not directly visible. The algorithms are very efficient and scalable. Phase I demonstration extrapolates to processing 10Tb of raw FOQA data in under an hour to detect anomalous units, abnormal flights, and compute predictive trends. Company Contact Dimitry Gorinevsky (650) 400-3172 dimitry@mitekan.com NASA COTR Contact TBA-Contract Under Negotiation 2010 Phase II 2010 Phase II 32 Proposal A1.15-8747 Proposal A2.06-8769 33
  • 19. Rotorcraft I RotCFD: A Viscous Design Tool for Advanced Configurations Notes: • Search government wide for technologies. Sukra Helitek, Inc. Technical Abstract During initial design studies, parametric variation of vehicle geometry is routine. In addition, rotorcraft engineers traditionally use the wind tunnel to evaluate and finalize designs. Correlation between wind tunnel results and flight tests, when not good, have been often attributed in part to uncertainty in blockage corrections. Estimation of rotor blockage is significantly more complex than bluff body corrections as the correction depends on operational characteristics such as rotor RPM and thrust produced. This proposal offers to develop an Integrated Design Environment (IDE) which can simulate a complete rotorcraft with or without wind tunnel walls including all the facility effects. At the heart of the innovation are: 1. An automated hybrid grid generator. (viscous grids near the bodies and unstructured Cartesian grid everywhere SBIR else) 2. A robust and economical incompressible flow solver for the entire system of grids. 3. Momentum source based rotor model that is suitable and economical for simulating configurations with multiple rotors. In Phase I, the proof-of-concept developed used unstructured Cartesian grid for the model and wind tunnel. In phase II, the tool will be extended to hybrid grid with viscous grid near solid surfaces and will include several tools including a simple CAD like geometry manipulation tool and pre- and post- processing tools all integrated in one environment to facilitate ease of use. Company Contact Andrew Hollingsworth (515) 292-9646 nappi@sukra-helitek.com NASA COTR Contact TBA-Contract Under Negotiation 2010 Phase II 34 Proposal A2.09-8157 35
  • 20. Spectroscopic Dosimeter Merril Corporation of Utah, dba MSI Photogenics ............................... 38 Lunar Navigator - A Miniature, Fully Autonomous, Lunar Navigation, Surveyor, and Range Finder System Enhancing NASA's Procedure Representation Language to Support Microcosm, Inc. .................................................................................... 56 Planning Operations TRACLabs, Inc. .................................................................................... 39 Lightweight Hybrid Ablator Incorporating Aerogel-Filled Open-Cell Foam Structural Insulator, Phase II Procedure Integrated Development Environment (PRIDE) Ultramet ................................................................................................ 57 S&K Aerospace .................................................................................... 40 Automation of Health Management, Troubleshooting and Recovery Efficient Techniques for Formal Verification of PowerPC 750 in Lunar Outpost Executables Qualtech Systems, Inc. ........................................................................ 58 Aries Design Automation, LLC ............................................................. 41 PM/IDE - An Integrated Development Environment for Planning Automated Test Case Generation from Highly Reliable System Models Requirements Models Stottler Henke Associates, Inc. ............................................................ 59 Safeware Engineering Corporation ...................................................... 42 Robotic Vehicle Proxy Simulation Quantifiable and Reliable Structural Health Management Systems Energid Technologies ........................................................................... 60 Acellent Technologies, Inc. .................................................................. 43 Fusion of Built in Test (BIT) Technologies with Embeddable Fault Exploration Systems HyDE Enhancements for ISHM Deployment Tolerant Techniques for Power System and Drives in Space Impact Technologies, LLC.................................................................... 44 Exploration Water Reclamation using Spray Drying Impact Technologies, LLC.................................................................... 61 NanoMaterials Company ...................................................................... 45 Fast Neutron Dosimeter for the Space Environment A Super Cooled, Non-toxic, Non-flammable Phase Change Material Radiation Monitoring Devices, Inc. ...................................................... 62 Thermal Pack for Portable Life Support Systems High Efficiency, High Output Plastic Melt Waste Compactor (HEHO- Paragon Space Development Corporation .......................................... 46 PMWC) Advanced, Long-Life Cryocooler Technology for Zero-Boil-Off Orbital Technologies Corporation......................................................... 63 Cryogen Storage Phenolic Impregnated Carbon Ablator (PICA) Gap Filler for Heat Creare, Inc. ........................................................................................... 47 Shield Assemblies SAFE-P: System for Assurance of Flight Executable Procedures Fiber Materials, Inc. .............................................................................. 64 SIFT, LLC .............................................................................................. 48 Computational Tool for Coupled Simulation of Nonequilibrium Embedding Procedure Assistance into Mission Control Tools Hypersonic Flows with Ablation TRACLabs, Inc. .................................................................................... 49 CFD Research Corporation .................................................................. 65 An Efficient Parallel SAT Solver Exploiting Multi-Core Environments Multi-Layered Integrated Airframe System Aries Design Automation, LLC ............................................................. 50 Fiber Materials, Inc. .............................................................................. 66 Efficient Integration, Validation and Troubleshooting in Multimodal Integrated Inflatable Ballute for Planetary Entry Distributed Diagnostic Schemes CFD Research Corporation .................................................................. 67 Qualtech Systems, Inc. ........................................................................ 51 Ionomer-membrane Water Processor System Design and EDU Brine Dewatering Using Ultrasonic Nebulization Demonstration UMPQUA Research Company ............................................................. 52 Paragon Space Development Corporation .......................................... 68 A Compact, Efficient Pyrolysis/Oxidation System for Solid Waste Ontological Models to Support Planning Operations Resource Recovery in Space TRACLabs, Inc. .................................................................................... 69 Advanced Fuel Research, Inc. ............................................................. 53 Automation for Vehicle and Crew Operations Multifunctional B/C Fiber Composites for Radiation Shielding Qualtech Systems ................................................................................ 70 Materials Modification, Inc. .................................................................. 54 Graded Density Carbon Bonded Carbon Fiber (CBCF) Preforms for Carbon Foam Self-Heated Tooling for Out-of-Autoclave Composites Lightweight Ablative Thermal Protection Systems (TPS) Manufacturing Fiber Materials, Inc. .............................................................................. 71 36 Touchstone Research Laboratory, Ltd. ................................................ 55
  • 21. Neutron Spectroscopy A I utomation for Vehicle and Habitat Operations Spectroscopic Dosimeter Enhancing NASA's Procedure Representation Language to Merril Corporation of Utah, dba MSI Photogenics Support Planning Operations TRACLabs, Inc. Technical Abstract Technical Abstract Analysis of Phase I test data demonstrates that the Photogenics Automation and autonomy are key elements in realizing the Spectroscopic Dosimeter will detect neutron energies from 0.8 vision for space exploration. The NASA Exploration Technology up to 600 MeV. The detector efficiencies in the energy region of Development Program (ETDP) has been developing several interest to NASA of 0.5 to 150 MeV were predicted by MCNP-X core autonomy capabilities, one of which is called a procedure models. These models were partially confirmed by the tests at representation language (PRL). PRL can be automatically the EAL and LANSCE, with a high confidence in the data for the translated into code that can be executed by NASA-developed 1-14 MeV range and a confirmation of the detector’s spectroscopic autonomous executives. Another type of automation being capabilities between 15-150 MeV. Further analysis of the high developed by ETDP is automated planning aids. These will be energy data will be performed in Phase II. Using the detection needed to increase the number of missions that existing levels efficiencies determined Phase I and the IRCP74 damage of flight personnel must be able to handle. But PRL has few coefficients, doses have been calculated for the neutron fluxes constructs to enable automated planners and schedulers to take encountered in the test facilities. During Phase II a full-scale advantage of the procedures resulting from PRL. In Phase 1 working model of the spectroscopic dosimeter will be fabricated we developed extensions to PRL to add planning information SBIR SBIR and tested. resource, constraints and sub-procedural information so as to produce code useable by automated planning software. In this Company Contact project, we propose to develop an interactive planning aid for flight David Slaughter controllers to show that such an aid can process our enhanced (801) 374-6722 PRL files to generate mission plans and to test their feasibility david.slaughter@missionsupport.us via an execution system. Besides refining our previous modeling NASA COTR Contact efforts, this work will show that the availability of computer-useable Tore Straume planning information can lead to practical applications of NASA’s (650) 604-3943 automated planning efforts. tstraume@mail.arc.nasa.gov Company Contact Russell Bonasso (281) 483-2738 r.p.bonasso@nasa.gov NASA COTR Contact Jeremy Frank (650) 604-2524 Jeremy.D.Frank@nasa.gov 2007 Phase II 2007 Phase II 38 Proposal X14.03-8416 Proposal X1.01-9152 39
  • 22. Automation for Vehicle and Habitat Operations R I eliable Software for Exploration Systems Procedure Integrated Development Environment (PRIDE) Efficient Techniques for Formal Verification of PowerPC 750 S&K Aerospace Executables Aries Design Automation, LLC Technical Abstract Technical Abstract NASA captures and distributes operational knowledge in the form We will develop an efficient tool for formal verification of PowerPC of procedures. These procedures are created and accessed by 750 executables. The PowerPC 750 architecture is used in a range of people performing many different jobs. These people the radiation-hardened RAD750 flight-control computers that have different needs for procedure data and different ways of are utilized in many space missions. The resulting tool will be interacting with procedures. We propose an Procedure Integrated capable of formally checking: 1) the equivalence of two instruction Development Environment which will present different editing sequences; and 2) properties of a given instruction sequence. modes and different views depending on the users and tasks, but The tool will automatically introduce symbolic state for state will use a consistent data representation for all users. We propose variables that are not initialized and for external inputs. We to connect the editing environment to other tools and systems that bring a tremendous expertise in formal verification of complex are useful to procedure development, including recon databases microprocessors, formal definition of instruction semantics, and verification tools. We propose to build this environment on the and efficient translation of formulas from formal verification to basis of an existing prototype, PRIDE, which was developed for Boolean Satisfiability (SAT). We will also produce formally verified the Engineering Directorate of Johnson Space Center. definitions of the PowerPC 750 instructions used in the project, SBIR SBIR expressed in synthesizable Verilog; these definitions could Company Contact be utilized for formal verification and testing of PowerPC 750 Arthur Molin compatible processors, for FPGA-based emulation of PowerPC (281) 480-1453 750 executables, as well as in other formal verification tools to be amolin@ska-corp.com implemented in the future. NASA COTR Contact Company Contact Jeremy Frank (650) 604-2524 Miroslav Velev Jeremy.D.Frank@nasa.gov (773) 856-6633 miroslav.velev@aries-da.com NASA COTR Contact Andre Goforth (650) 604-4809 agoforth@mail.arc.nasa.gov 2007 Phase II 2007 Phase II 40 Proposal X1.01-9651 Proposal X1.02-8523 41