Simulate sky-high results: Virtual design with LMS Imagine.Lab Amesim for the aerospace and defense industries

Simulate sky-high results
Virtual design with LMS Imagine.Lab Amesim
for the Aerospace and Defense industries

Unrestricted © Siemens AG 2017
Page 2 Siemens PLM Software
Scalable multiphysics behavioral modeling and analysis
LMS Amesim
48 libraries
6,500 multi-physics models
Fluids EnergyThermodynamics Control Liquid
propulsion
Mechanical Electrical
High-fidelity plant models (SIL, HIL)
Support of real-time platforms
Standards
Interfaces to simulation
Multiple 3D CAE
Applications
Open, mechatronics simulation platform
Scalable
system
to
component
Flight controls Flight
dynamics
Environmental
control system
Fuel systems Electrical
systems
Landing
systems
Propulsion
systems
Engine
equipment
Integrated
systems
Hydraulic
systems

Cloud
Licensing
flexibility
Simcenter™ Portfolio for Predictive Engineering Analytics
Cornerstones for a future-proof engineering approach
Covering full range of
methods
Analytics, reporting &
exploration
Deployment flexibility
Openness &
Scalability
User experience
Industry &
engineering expertise
Systems approach
Collaboration &
workflow
Multidiscipline
& multiphysics
R
F
L
P
Controls
1D
3D
TEST
CFD

Agenda
• Why LMS Amesim for Aerospace and
Defense?
• Modeling workflow of any types of
systems
• 28 years of experience and proven
results
• Industry case studies
• Customer references
• Going further

LMS Amesim supports the modeling of all types of aircrafts
Helicopters
Rockets
Satellites
Airplanes
Unmanned Aerial
Vehicle (UAV)
Spacecrafts
200+ aerospace companies worldwide use LMS Amesim daily

Engineering challenges for the aerospace industry
System interactions – Growing complexity
Eco-friendliness
Landing
systems
Flight
controls
Engine
equipment
Fuel
systems
Comfort
System interactions – Growing complexity
Env. control
system
Time-to-market
Costs
Reliability
Aircraft
engine
Electric
aircraft
LMS Amesim supports all functions and subsystems to address complex challenges

Aircraft structure: outside shell and heat exchanges
The aircraft structure composition is accurately reproduced, with particular
attention paid to material layers (i.e. thickness and properties)
This thermal model allows to consider the various heat loads applied to the
aircraft, such as:
• Solar radiation on the outside skin
• Aircraft radiation to the ambient
• External air forced convection
• Lumped heat inputs: galley equipment, In Flight
Entertainment (IFE), avionics, passengers, batteries
etc…
aircraft structure thermal model extraction

Aircraft multi-level analysis
The three model levels rely on the scalable models and solutions offered by LMS Amesim.
Morephysics
Increasing modeling depth
Functional
system
More detailed
system
Duty Size Performance
Subsystems interactions
Control design
Components design
Virtual testing
Power requirements
Architectures comparison
Detailed
components

Sub-systems models and tools
Electric
aircraft
Aircraft
engine
Environm.
control
system
Fuel
systems
Engine
equipment
Flight control
Landing
systems
LMS Imagine.Lab Amesim
Dedicated solutions for the aerospace and defense industry
System model – Synthesis and analysisScenarios Performance

Benefit from the LMS Amesim ecosystem to get well unified
models
Model-based systems engineering
for the aerospace industry

Agenda
Defense?
systems
results
• Going further

Hydraulic-electric “What if?”
Predictive modeling of aircraft hydraulic & electrical systems
for “What-if analysis”
Braking system Virtual test bench
Concept
optimization
Pre-design
Design
Optimization
Design
Verification
Service life
x
Value-adding outcome
• Ability to answer OEM request  credibility gain
• Tool for strategic design orientation  more efficient
research process
LMS Amesim model

Helicopter cooling
Thermal and fluid design up to industry standards
Cooling system LMS Amesim model
Analysis of gearbox and
engine cooling
• Controlled & validated process for cooling design:
 More robust cooling systems
 Better managed design cycle times
Concept
optimization
Pre-design
Design
Optimization
Design
Verification
Service life
x

Landing systems electrical drive
Architecture (MLG / NLG) to system integration (motors thermal
integration)
Landing gear LMS Amesim model Taxiing control
or
MLG
NLG
• Engineering support for strategic design decisions  stronger R&D
strategy, confidence in committed budgets
• In-context design of a multi-interfaces system  faster design of a
better-performing system, reduced fixing costs
Concept
optimization
Pre-design
Design
Optimization
Design
Verification
Service life
x

Surface transient actuation
Dynamic response characterization for the hydro-mechanical control
Hardware with undesired
frequency modes
LMS Amesim model
Frequency behavior
analysis
• Predictive modeling for surface transient behavior analysis
• Identification of the in-service undesired couplings  safer and more
reliable (re)-design
Concept
optimization
Pre-design
Design
Optimization
Design
Verification
Service life
x

Real-time brake testing
Real-time export of the high-fidelity model and accuracy verification
Braking testing LMS Amesim model Subsystem validation
• Fewer tests, better initial performance  large cost savings
• Integrated team work  faster, more consistent design
• Tool & method support for future designs  shorter time to market
Concept
optimization
Pre-design
Design
Optimization
Design
Verification
Service life
x

Hydro-mechanical fuel regulator
Re-engineering of the entire hydro-mechanical system
Fuel regulator LMS Amesim model Reliable predictions
• Model made available  answer to OEM requirements (safety &
fuel consumption improvements)
• Ability to answer future in-service hardware support requests
(modes and concessions, incident replay etc…)  credibility gain
Oil model
Concept
optimization
Pre-design
Design
Optimization
Design
Verification
Service life
x

Agenda
Defense?
systems
results
• Going further

1989: first engineering project for Aerospace and Defense
Year Application
or subsystems
1989 launcher engine mounting model
1991 diffuser nozzle actuated by two servo-controlled jacks
1992 self-compensated gyroscopic control
1992 3D model of a magnetic suspension
1994 jack force analysis during engine transients
1998 in-flight linear analysis model
2000 coupling of servo-rudders linear models with a structural
modal base
2001 root cause analysis of a O2 oxygen mask
2001 harness inflation control system
2002 thermal-hydraulic landing gear model with heat exchanges
Mechanics
Hydraulics
Thermodynamics
Controls
1986-1996:
design office for
mechatronics systems
| engineering | dynamics
| multi-physics | control |

Thrust control actuators of a rocket launcher
Finite element mechanical structure (3D) coupled with hydraulic
actuators (1D)
An LMS Amesim model had been used to validate the mechanical reliability
and the control stability of the coupled system.
Hydraulic jack Hydraulic jack
Vulcain Nozzle
• including a reduced Finite Element (FE) model of the
launcher and Vulcain engine mechanical structures,
• and a model of the hydraulic cylinders controlling the
Vulcain nozzle orientation
LMS Amesim
Advanced Continuous
Simulation LanguageACSL

LMS Amesim Engineering services experience in Aerospace and
Defense
Customer
type
Application
or subsystems
OEM environmental control system
Suppl. tier1 fuel metering unit
OEM rocket engine in real-time
OEM landing gear
Suppl. tier1 engine lubrication
OEM aileron actuation
Suppl. tier1 anti-icing system
Suppl. tier1 auxiliary with swash plate pump
OEM electric thermal cooling
OEM pyrotechnic actuation
Benefit of LMS Engineering services experience
in reverse engineering, testing and modeling of aeronautics systems
Review of legacy modeling,
validation/experimental data,
best practices
Verification & Validation of the
rocket nozzle feed (testing
and tuning)

Agenda
Defense?
systems
results
• Going further

Application: liquid rocket propulsion – SNECMA Moteurs
Aerospace engine
equipment

Application: pressure valve for aircraft braking system – IN-LHC
Landing systems

Y. J. Yoo and Al – Defense Science Institute – Korea – [ paper ]
Study of an environmental control system

T. Marger – ENSAM ParisTech – France – [ thesis ]
Valve design of hydro-mechanical servoactuator

Application: integrated pneumatic system – Gulfstream Flight
Sciences
Environmental
control system

A. Chaix and All – Thales Alenia Space – France – [ paper ]
Thermal dissipation management of spacecraft

F. Jian – F. Yongling – Beijing University – China – [ paper ]
Flight control electromechanical actuators

Agenda
Defense?
systems
results
• Going further

TOICA research project (Leonardo, University of Padova, Siemens PLM)
Integrating fuel system in the aircraft thermal management
with LMS Imagine.Lab Amesim
Thermal modeling of the aircraft fuel system
• Accurate and fast 1D simulations of
a fuel reservoir thermal behavior
compared with 3D models
• New methodology proposed to
assess fuel flammability based on
1D models representative of the
physics involved
“Successful evaluation of the use of fuel inside the collector tank as a heat sink to
dump the heat released by the VCS condenser.”
Fabio Chiacchio, Fuel system engineer
• 1D fuel tank system model refinement thanks to 3D simulation results
• Flammability assessment covering scenarios defined by certification authorities
• Usage of High Performance Computing (HPC) to assess the flammability based on system simulation instead of pure
statistic approach based on time constants and proposal of FAA methodology improvement
HPC combined with 1D system simulation
models
1D and 3D simulation results comparison
The research leading to these results has received funding from the European Union Seventh
Framework Programme (FP7/2007-2013) under grant agreement n° 604981

Airbus Helicopters
Using a unique LMS Imagine.Lab Amesim model throughout the V-cycle
From component and system engineering to real-time simulation
• Shortened hydraulic system
optimization cycle by a factor of 3
• Decreased prototype costs by a
factor of 4
• Avoided late delivery penalties
“Being able to anticipate a problem is a significant source of cost and risk
reduction.”
Nicolas Damiani, Expert in Simulation and Operational Analysis
• Ensure accuracy of plant and real-time hydraulics models
• Enhance flight simulators’ fidelity
Real-time models for full flight simulatorsDynamic analysis of hydraulic systems

Safran Nacelles
Optimizes nacelle ventilation design using LMS Imagine.Lab Amesim
Re-engineer legacy code to de-risk and smooth the design process
• Re-gained legacy code
understanding (assumptions,
strengths, limitations)
• Tested hardware configurations in
various conditions (e.g. burst duct,
in-service events…)
“The scoop re-engineering into LMS Amesim supports both nacelle design and in-
service support, thanks to the tool flexibility and ease of use”
Laurence Lemains, Integration and Technical Supervision
• Investigate new applications and designs (including innovative ones)
• Overcome model maintenance and modification difficulties
• Increase post-processing and coupling capacities
Model validation with in-flight test dataFull ventilation suite from scoop to flow split

Improving standards for ventilation design and transient analysis
Safran Nacelles
Using LMS Imagine.Lab Amesim for ventilation design and sizing
• Ten time Faster analysis than with
the previous solver (Fortran in-
house code)
• Simplified interface: reduced input
mistakes
• On time delivery analysis
“The ability of LMS Amesim to rapidly bring answers is satisfaction source for us
and our customer.”
Clément Vénuat, Thermal and Aerothermal Engineer
• Simulate the pressure relief door transient mechanical behavior
• Get accurate pressure results for nacelle design
Pressure Relief DoorDynamic analysis of burst duct
Replace with model / results /
second picture?

Filton Systems Engineering
Integrating the aircraft fuel system with LMS Imagine.Lab Amesim
• Reduced program cost and time
• Minimized risk of failure at ground
and flight tests
• Immediately assessed the impact of
design changes in other
subsystems
“The reason we decided to go with LMS Imagine.Lab Amesim for this task is that
the transient nature by which LMS Amesim solve the issues and performs the
modeling seems to be a lot more well suited to a surge analysis.”
Ben Richardson, Commercial Director

Assessment of the Airbus A380’s new steering system overheating risk
Messier-Bugatti-Dowty
Reducing technology development risks with LMS Imagine.Lab Amesim
• Improved focus on innovation and
R&D
• Stopped use of the legacy code
development and reduced
maintenance costs
• Integrated in the current production
pipeline and introduced efficient
simulation processes
“The A380 enters into service with its nose wheel steering system control loop
only tuned with LMS Imagine. Lab Amesim. Tests were just performed to confirm
the good system performances”
Jerome Fraval, Systems Modeling Lead Engineer
• Use application-oriented interfaces and tools
• Leverage multi-domain libraries
A380 NWS Amesim simulation / test bench
results comparison
New hydraulic micro-pumps

Leonardo Aircraft (formerly Alenia Aermacchi)
Optimizing air conditioning architecture design with LMS Amesim
Evaluating the cabin thermal behavior and comparing 2 architecture designs
• Reduction of physical tests and
related costs during the
development phase
• Minimization of certification tests
• Minimization of risks and cost
linked to the re-design of parts in
the manufacturing phase
“The mono-dimensional thermal model allowed, in a sufficiently accurate way to obtain
fast evaluation of the cabin thermal environment in terms of average temperature and %
of humidity”
A. Romano – G. Mirra – P. Borrelli - Leonardo Aircraft
• 1-D model validated by comparing results with CFD model to build air cycle machine and heat exchanger
• Modeling of air distribution system and comparison of 2 architectures design results
ECS pack 1D-model
Pressure loss vs mass flow curves,
architectures comparison

Agenda
Defense?
systems
results
• Going further

Aerospace and Defense templates in the LMS Amesim online
documentation
LMS Amesim 15 online documentation comes
with ready-to-use templates & dedicated user guide to start with:
• All types of aircrafts,
• All functions and subsystems,
• All physical domains, …

Aerospace and Defense templates in the LMS Amesim online
documentation
90+
templates
included
in LMS
Amesim

Siemens PLM for Aerospace and Defense customers
Modeling the digital twin of an aircraft fuel system
• Design optimization at early stages of
the design cycle
• Speed-up virtual prototyping of a
complete aircraft fuel system
• Validation with regards to flight
missions
• Build a Digital Twin
Simcenter® solution in support of Fuel Test Rig Digital Twin
• Aircraft wing mock-up designed with NX CAD
• LMS Imagine.Lab Amesim to simulate multi-physics behavior, fuel storage and
distribution, actuation system (EMA) and interface with control through interactive
dashboard
• Simulated features: refueling, tank cascading, orifice and flap valve transfer, wing
inclination effects, gravity de-fuelling
Model validation for a given roll attitude3D and 1D system Digital Mock-Up
v

Siemens eAircraft
Select electric propulsion architecture with LMS Imagine.Lab Amesim
Integrated scalable approach for disruptive innovation
• Fast design space exploration when
few data are available
• Virtual integration: Fly it before
building it
• Knowledge transfer made easier
with graphical modeling
“We could only develop such an enormous Power Density of 5,2kW/kg in the
Siemens SP260D motor because we did it from the beginning based on the
integrated Simcenter performance simulation suite.”
Dr Frank Anton, Head of eAircraft
• Assess motor and battery cooling strategies
• Verify electric powertrain coupled with flight dynamics
• Validate flight simulation with test data – reuse validated model in future projects
Coupling system and 3D flight simulationMulti-scale and multi-domain system sizing

LMS Amesim story
30 years experience in mechatronic simulation
1996 2004
Multi-physics
System
Simulation
1998
Fluid specialist
Fluid
Simulation
2000
Application
oriented
Component
Simulation
2006 2010
Collaborative
System
Simulation
PIDO, CAD, CFD &
CAE interfaces
2016
Model Based
System
Engineering
Plant model, control,
XiL-Real-time
LMS Amesim Version
v1.0
1st aeronautic
engineering project
(with ACSL)
Numerics
core &
modeling
methods

Realize innovation.
Olivier BROCA
Stéphane MOUVAND
LMS Amesim Aerospace and Defense
Stéphane NEYRAT
LMS Amesim Platform
Siemens Industry Software S.A.S.
Digital Factory Division
Product Lifecycle Management
Simulation & Test Solutions
DF PL STS CAE 1D

Simulate sky-high results: Virtual design with LMS Imagine.Lab Amesim for the aerospace and defense industries

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Simulate sky-high results: Virtual design with LMS Imagine.Lab Amesim for the aerospace and defense industries