The following presentation describes the use of numerical simulation to optimize the shape, elasticity and volume of the compensation chamber in an axial pump while minimizing pressure peaks.
Rotameter calibration report for multiple fluidsSakib Shahriar
We will study Rotameter and calibrate it for various fluids in this report. Mainly, we calibrated the rotameter for water. Calibration means nothing but the relationship between volumetric flow rate vs Rotameter reading.
Rotameter calibration report for multiple fluidsSakib Shahriar
We will study Rotameter and calibrate it for various fluids in this report. Mainly, we calibrated the rotameter for water. Calibration means nothing but the relationship between volumetric flow rate vs Rotameter reading.
The Principles required to understand Distillation, Absorption, Stripping, Flashing, Gas Treating, Scrubbing and more!
Introduction:
This course covers all the theory required to understand the basic principles behind Unit Operations that are based on Mass Transfer. Most of these Unit Operations (Equipments) are used in Process Separation Technologies in the Industry.Common examples are Distillation, Absorption and Scrubbing.
This course is required for the following:
Flash Distillation
Gas Absorption & Stripping
Simple Distillation
Batch Distillation
Binary Distillation
Fractional Distillation
Scrubbers
Gas Treating
Sprayers / Spray Towers
Bubble Columns / Sparged Vessels
Agitation Vessels
Packed Towers
Tray Towers
We will cover:
Mass Transfer Basics
Diffusion, Convection
Flux & Fick's Law
The Concept of Equilibrium & Phases
Gibbs Phase Rule
Vapor Pressure
Equilibrium Vapor-Liquid Diagrams (T-xy, P-xy, XY)
Equilibrium Curves
Dew Point, Bubble Point
Volatility (Absolute & Relative)
K-Values
Ideal Cases vs. Real Cases
Henry's Law
Raoult's Law
Deviations of Ideal Cases (Positive and Negative)
Azeotropes
Solubility of Gases in Liquids
Interphase Mass Transfer and its Theories
Two Film Theory
Mass Transfer Coefficients (Overall vs Local)
Getting Vapor-Liquid and Solubility Data
Solved-Problem Approach:
All theory is backed with:
Exercises
Solved problems
Proposed problems
Homework
Case Studies
Individual Study
At the end of the course:
You will be able to understand the mass transfer concepts behind various Unit Operations involving Vapor - Liquid Interaction.
You will be able to apply this theory in further Unit Operations related to Mass Transfer Vapor - Liquid, which is one of the most common interactions found in the industry.
About your instructor:
I majored in Chemical Engineering with a minor in Industrial Engineering back in 2012.
I worked as a Process Design/Operation Engineer in INEOS Koln, mostly on the petrochemical area relating to naphtha treating. There I designed and modeled several processes relating separation of isopentane/pentane mixtures, catalytic reactors and separation processes such as distillation columns, flash separation devices and transportation of tank-trucks of product.
Dimensional analysis Similarity laws Model laws R A Shah
Rayleigh's method- Theory and Examples
Buckingham Pi Theorem- Theory and Examples
Model and Similitude
Forces on Fluid
Dimensionless Numbers
Model laws
Distorted models
Control of Continuous Distillation Columns
0 INTRODUCTION/PURPOSE
1 SCOPE
2 FIELD OF APPLICATION
3 DEFINITIONS
4 GENERAL DESCRIPTION OF A DISTILLATION COLUMN
5 REGULATORY CONTROL
5.1 Composition Control
5.2 Mass Balance Control
5.3 Design of Feedback Control Systems
5.4 Pressure and Condensation Control
5.5 Reboiler Control
6 DISTURBANCE COMPENSATION
6.1 Feed-forward Control
6.2 Cascade Control
6.3 Internal Reflux Control
7 CONSTRAINT CONTROL
7.1 Override Controls
7.2 Flooding
7.3 Limiting Control
8 MORE ADVANCED TOPICS
8.1 Temperature Position Control
8.2 Inferential Measurement
8.1 Floating Pressure Control
8.2 Model Based Predictive Control
8.1 Control of Side-streams
8.2 Extractive/Azeotropic Systems
9 REFERENCES
TABLES
1 SYMPTOMS OF IMBALANCE AND THE REGULATORY VARIABLES
2 PRACTICAL LINKAGES BETWEEN CONTROL
(P, R, B, C) AND REGULATION VARIABLES
(h, r, d, b, c, v)
3 COMPOSITION REGULATION
4 COMPOSITION REGULATION - VERY SMALL FLOWS
Fluid Dynamics describes the physics of fluids at level of Undergraduate in science (physics, math, engineering). For comments or improvements please contact solo.hermelin@gmail.com. Thanks.
For more presentations on different subjects visit my website at http://www.solohermelin.com.
Nonlinear Aeroelastic Steady Simulation Applied to Highly Flexible Blades for...Fausto Gill Di Vincenzo
A novel approach is presented to perform nonlinear aeroelastic steady-state simulations of highly flexible structures such as fix wings and rotating blades. The methodology has been developed in a specific OpenFSI service available in MSC Nastran SOL 400 that
includes follower forces and incremental loads features to allow for accurate nonlinear steady Fluid-Structure Interaction analysis. The new service, called HSA.OpenFSI, based on the HSA Toolkit, has been implemented to couple MSC Nastran to a CFD solver. Six DOF spline technology is used to interpolate data between the aerodynamic and structural grids. A new approach has been designed to improve the efficiency of this technology that allows to considerably reduce the time needed to create the interpolation spline matrix and the disk space to store it. A Nastran-based FEM algorithm has been developed to take care of the fluid domain deformation. The proposed approach has been validated on a flap in a duct model, where transient steady-state results are available from other approaches, and then preliminary results on a proprotor two-blade model of Micro Air Vehicles MAV from ISAE will be presented.
The Principles required to understand Distillation, Absorption, Stripping, Flashing, Gas Treating, Scrubbing and more!
Introduction:
This course covers all the theory required to understand the basic principles behind Unit Operations that are based on Mass Transfer. Most of these Unit Operations (Equipments) are used in Process Separation Technologies in the Industry.Common examples are Distillation, Absorption and Scrubbing.
This course is required for the following:
Flash Distillation
Gas Absorption & Stripping
Simple Distillation
Batch Distillation
Binary Distillation
Fractional Distillation
Scrubbers
Gas Treating
Sprayers / Spray Towers
Bubble Columns / Sparged Vessels
Agitation Vessels
Packed Towers
Tray Towers
We will cover:
Mass Transfer Basics
Diffusion, Convection
Flux & Fick's Law
The Concept of Equilibrium & Phases
Gibbs Phase Rule
Vapor Pressure
Equilibrium Vapor-Liquid Diagrams (T-xy, P-xy, XY)
Equilibrium Curves
Dew Point, Bubble Point
Volatility (Absolute & Relative)
K-Values
Ideal Cases vs. Real Cases
Henry's Law
Raoult's Law
Deviations of Ideal Cases (Positive and Negative)
Azeotropes
Solubility of Gases in Liquids
Interphase Mass Transfer and its Theories
Two Film Theory
Mass Transfer Coefficients (Overall vs Local)
Getting Vapor-Liquid and Solubility Data
Solved-Problem Approach:
All theory is backed with:
Exercises
Solved problems
Proposed problems
Homework
Case Studies
Individual Study
At the end of the course:
You will be able to understand the mass transfer concepts behind various Unit Operations involving Vapor - Liquid Interaction.
You will be able to apply this theory in further Unit Operations related to Mass Transfer Vapor - Liquid, which is one of the most common interactions found in the industry.
About your instructor:
I majored in Chemical Engineering with a minor in Industrial Engineering back in 2012.
I worked as a Process Design/Operation Engineer in INEOS Koln, mostly on the petrochemical area relating to naphtha treating. There I designed and modeled several processes relating separation of isopentane/pentane mixtures, catalytic reactors and separation processes such as distillation columns, flash separation devices and transportation of tank-trucks of product.
Dimensional analysis Similarity laws Model laws R A Shah
Rayleigh's method- Theory and Examples
Buckingham Pi Theorem- Theory and Examples
Model and Similitude
Forces on Fluid
Dimensionless Numbers
Model laws
Distorted models
Control of Continuous Distillation Columns
0 INTRODUCTION/PURPOSE
1 SCOPE
2 FIELD OF APPLICATION
3 DEFINITIONS
4 GENERAL DESCRIPTION OF A DISTILLATION COLUMN
5 REGULATORY CONTROL
5.1 Composition Control
5.2 Mass Balance Control
5.3 Design of Feedback Control Systems
5.4 Pressure and Condensation Control
5.5 Reboiler Control
6 DISTURBANCE COMPENSATION
6.1 Feed-forward Control
6.2 Cascade Control
6.3 Internal Reflux Control
7 CONSTRAINT CONTROL
7.1 Override Controls
7.2 Flooding
7.3 Limiting Control
8 MORE ADVANCED TOPICS
8.1 Temperature Position Control
8.2 Inferential Measurement
8.1 Floating Pressure Control
8.2 Model Based Predictive Control
8.1 Control of Side-streams
8.2 Extractive/Azeotropic Systems
9 REFERENCES
TABLES
1 SYMPTOMS OF IMBALANCE AND THE REGULATORY VARIABLES
2 PRACTICAL LINKAGES BETWEEN CONTROL
(P, R, B, C) AND REGULATION VARIABLES
(h, r, d, b, c, v)
3 COMPOSITION REGULATION
4 COMPOSITION REGULATION - VERY SMALL FLOWS
Fluid Dynamics describes the physics of fluids at level of Undergraduate in science (physics, math, engineering). For comments or improvements please contact solo.hermelin@gmail.com. Thanks.
For more presentations on different subjects visit my website at http://www.solohermelin.com.
Nonlinear Aeroelastic Steady Simulation Applied to Highly Flexible Blades for...Fausto Gill Di Vincenzo
A novel approach is presented to perform nonlinear aeroelastic steady-state simulations of highly flexible structures such as fix wings and rotating blades. The methodology has been developed in a specific OpenFSI service available in MSC Nastran SOL 400 that
includes follower forces and incremental loads features to allow for accurate nonlinear steady Fluid-Structure Interaction analysis. The new service, called HSA.OpenFSI, based on the HSA Toolkit, has been implemented to couple MSC Nastran to a CFD solver. Six DOF spline technology is used to interpolate data between the aerodynamic and structural grids. A new approach has been designed to improve the efficiency of this technology that allows to considerably reduce the time needed to create the interpolation spline matrix and the disk space to store it. A Nastran-based FEM algorithm has been developed to take care of the fluid domain deformation. The proposed approach has been validated on a flap in a duct model, where transient steady-state results are available from other approaches, and then preliminary results on a proprotor two-blade model of Micro Air Vehicles MAV from ISAE will be presented.
We build AI and HPC solutions. Expertise: highly optimized AI Engines and HPC Apps.
• HPC: accelerating time to results and adapting complex algorithms to GPU, FPGA, many-CPU architectures.
Leverage byteLAKE expertise in complex algorithms adaptation and optimization for NVIDIA GPUs, Xilinx Alveo FPGAs, Intel, AMD and ARM solutions. From single nodes to clusters.
More: www.byteLAKE.com/en/Alveo
byteLAKE's expertise across NVIDIA architectures and configurationsbyteLAKE
AI Solutions for Industries | Quality Inspection | Data Insights | AI-accelerated CFD | Self-Checkout | byteLAKE.com
byteLAKE: Empowering Industries with AI Solutions. Embrace cutting-edge technology for advanced quality inspection, data insights, and more. Harness the potential of our CFD Suite, accelerating Computational Fluid Dynamics for heightened productivity. Unlock new possibilities with Cognitive Services: image analytics for precise visual inspection for Manufacturing, sound analytics enabling proactive maintenance for Automotive, and wet line analytics for the Paper Industry. Seamlessly convert data into actionable insights using Data Insights' AI module, enabling advanced predictive maintenance and risk detection. Simplify Restaurant and Retail operations with our efficient self-checkout solution, recognizing meals and groceries and elevating customer satisfaction. Custom AI Development services available for tailored solutions. Discover more at www.byteLAKE.com.
OPAL-RT Distributed Multi-User LaboratoriesDarcy La Ronde
Learn more about OPAL-RT's high-performance distributed multi-user real-time HIL laboratories, part of our Academic and Research offering, optimized to conduct several HIL projects in parallel.
In this deck from the HPC User Forum in Santa Fe, Sibendu Som from Argonne presents: HPC Accelerating Combustion Engine Design.
Sibendu Som is a mechanical engineer and principal investigator for developing predictive spray and combustion modeling capabilities for compression ignition engines. With the aid of high-performance computing, Sibendu focuses on developing robust models which can improve the performance and emission characteristics of a variety of bio-derived fuels. Predictive simulation capability can provide significant insights on how to improve the efficiency and emissions for different bio-derived fuels of interest.
Watch the video: http://wp.me/p3RLHQ-gHO
Learn more: http://hpcuserforum.com
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Timing verification of real-time automotive Ethernet networks: what can we ex...RealTime-at-Work (RTaW)
Switched Ethernet is a technology that is profoundly reshaping automotive communication architectures as it did in other application domains such as avionics with the use of AFDX backbones. Early stage timing verification of critical embedded networks typically relies on simulation and worst-case schedulability analysis. When the modeling power of schedulability analysis is not sufficient, there are typically two options: either make pessimistic assumptions or ignore what cannot be modeled. Both options are unsatisfactory because they are either inefficient in terms of resource usage or potentially unsafe. To overcome those issues, we believe it is a good practice to use simulation models, which can be more realistic, along with schedulability analysis. The two basic questions that we aim to study here is what can we expect from simulation, and how to use it properly? This empirical study explores these questions on realistic case-studies and provides methodological guidelines for the use of simulation in the design of switched Ethernet networks. A broader objective of the study is to compare the outcomes of schedulability analyses and simulation, and conclude about the scope of usability of simulation in the desi gn of critical Ethernet networks
Altair constantly develops and enriches its CFD offering. Today with AcuSolve, a Navier-Stokes based solver, and ultraFluidX, utilizing a Lattice Boltzmann approach, Altair is providing a broad CFD solution allowing customers to choose the best approach for their applications.
This workshop illustrates the strong capabilities of AcuSolve for external aerodynamics, thermal analysis and multi-physics applications like fluid-structure interaction (FSI) or coupling with a multi-body dynamics (MBD) solver.
On the other hand, ultraFluidX allows to perform transient external aerodynamics simulations of production car geometries within a few hours on a single workstation leveraging GPU technology. Low surface mesh requirements and the integrated automatic volume meshing yield fast turnaround times during the development process. Both CFD solvers can be accessed via the Virtual Wind Tunnel, a dedicated software for external aerodynamic analyses.
Similaire à Using MpCCI to model Fluid-Structure-Interactions with ABAQUS and 3rd party CFD Tools (20)
Process of Integration the Laser Scan Data into FEA Model and Level 3 Fitness-for-Service Assessment of Critical Assets in Refinery & Process Industries
From customer value engagements to hands-on production support, our Services span across every stage of our customers digital transformation journey, to help ensure that every customer is successful in their adoption of our solutions.
• Implementation, Upgrade, Migration, and Maintenance Services
• On-Premises and On-Cloud
• COTS Training Services; On-Site and Virtual
• Software Support Services; Legacy and 3DEXPERIENCE
• Value Engagement & Blueprinting
• Specialized Consulting and Support Services
• Customized Training Services
• Automation and Configuration Services
• Technical Resource Augmentation Services
• Project Management
• Know-how Training (mentoring) and Resource Augmentation
The permeation on thin walls is a mass diffusion problem in a long-term time domain.
The application of mass diffusion analysis is limited to continuum modeling, which is not feasible to be used for thin walls, where shell elements are needed.
However, the analogy with the heat transfer governing equations allows the FE analyst to simulate the physics of the permeation problem to overcome this limitation with the proper mathematical modeling.
The objective is to develop a methodology using finite element analysis (FEA) for the shelf life of a beverage based on permeation of CO2 through a Polyethylene Terephthalate (PET) bottle wall.
To find out how we can help you with your ROI using modeling and simulation, please contact us and out consulting division can arrange a 30 minute complimentary call.
Lithium-ion batteries are currently used in EVs due to their fast-charging rate enabled by high energy density and cell voltage.
The high energy stored in EV battery packs translates to a higher probability of fire in the battery compartment due to an automotive crash. Crash test of the battery pack is typically performed to verify the safety performance of the battery under the specified loading conditions.
The work presents a virtual crash test approach to comply with regulations while designing a battery pack.
Contact us for more details on how we can help with our consulting based approach.
Digital twins represent the shape of physical objects in 3D.
A virtual twin experience starts with designing a 3D model that represents the shape, dimensions and properties of a physical product or system. Simulations are run on that virtual model to explore how the product will behave when assembled, operated or subjected to a range of events.
The presentation elaborates through practical examples and software solutions how modeling and simulation can aid in having better products to market faster in the era of digitalization.
If you have further interest contact us to know more and see how we can help with a consulting based approach.
The aim of this study is to create a FEA model to make a relative comparison between two implant tray materials (Co-Cr-Mo and Ti-Al) at the tibia-implant interface under the constant loading condition with the help of patient-specific bone microstructure using a representative volume element (RVE).
Using the study,
Was able to accurately evaluate designs under different conditions leading to more tailored, patient-specific implants.
Using numerical modeling, it was possible to improve product performance by comparing various design options.
Able to reduce the number of material testing and lead time reduction.
The presentation describes how to integrate Laser Scan Data into FEA Model and Perform Level 3 Fitness-for-Service Assessment of Critical Assets in Refinery & Process Industries. It also, talks about an engineer friendly plugin that helps in the data import with insights from the asset owners and FEA consultants.
Finite Element Analysis is used to simulate crushing of an automotive battery pack as per ISO 12405-3:2014 standard and crashworthiness performance of the battery pack was performed to optimize the structure.
VIAS undertook a design optimization study to optimize the design of a modular steel-plate composite (SC) primary shield wall (PSW). This PSW is used for support and protection of nucear reactor pressure vessel. Using initial design variables and non-linear material models, 3D FEA model was simulated. Using process automation, Response Surface method was implemented by automating 35 FEA runs. This study resulted in optimized dimensions for the PSW.
VIAS conducted a recent study involving the design qualification an Earthquake-Resistant Ductile Iron Pipe (ERDIP) joint against seismic events using simulation. Validation of the FEA model was performed using physical test data for a small diameter pipe joint. Further analysis was carried out wherein the pipe-soil interactions and the pipe-joint behaviors were represented by sets of non-linear springs. A stretch of the pipeline consisting of many pipe joints was undertaken to ascertain integrity under seismic fault movement conditions. The pipeline was acted upon by a fault rupture at specified azimuth angles and fault length. The simulation predicted that the pipe joints would meet the design criteria if the fault azimuth angle was within a certain threshold.
We are a Houston based Dassault Systemes partner providing software solutions, training and Finite Elements Analysis(FEA) / Computational fluid dynamics(CFD) based consulting services.
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
NUMERICAL SIMULATIONS OF HEAT AND MASS TRANSFER IN CONDENSING HEAT EXCHANGERS...ssuser7dcef0
Power plants release a large amount of water vapor into the
atmosphere through the stack. The flue gas can be a potential
source for obtaining much needed cooling water for a power
plant. If a power plant could recover and reuse a portion of this
moisture, it could reduce its total cooling water intake
requirement. One of the most practical way to recover water
from flue gas is to use a condensing heat exchanger. The power
plant could also recover latent heat due to condensation as well
as sensible heat due to lowering the flue gas exit temperature.
Additionally, harmful acids released from the stack can be
reduced in a condensing heat exchanger by acid condensation. reduced in a condensing heat exchanger by acid condensation.
Condensation of vapors in flue gas is a complicated
phenomenon since heat and mass transfer of water vapor and
various acids simultaneously occur in the presence of noncondensable
gases such as nitrogen and oxygen. Design of a
condenser depends on the knowledge and understanding of the
heat and mass transfer processes. A computer program for
numerical simulations of water (H2O) and sulfuric acid (H2SO4)
condensation in a flue gas condensing heat exchanger was
developed using MATLAB. Governing equations based on
mass and energy balances for the system were derived to
predict variables such as flue gas exit temperature, cooling
water outlet temperature, mole fraction and condensation rates
of water and sulfuric acid vapors. The equations were solved
using an iterative solution technique with calculations of heat
and mass transfer coefficients and physical properties.
Water billing management system project report.pdfKamal Acharya
Our project entitled “Water Billing Management System” aims is to generate Water bill with all the charges and penalty. Manual system that is employed is extremely laborious and quite inadequate. It only makes the process more difficult and hard.
The aim of our project is to develop a system that is meant to partially computerize the work performed in the Water Board like generating monthly Water bill, record of consuming unit of water, store record of the customer and previous unpaid record.
We used HTML/PHP as front end and MYSQL as back end for developing our project. HTML is primarily a visual design environment. We can create a android application by designing the form and that make up the user interface. Adding android application code to the form and the objects such as buttons and text boxes on them and adding any required support code in additional modular.
MySQL is free open source database that facilitates the effective management of the databases by connecting them to the software. It is a stable ,reliable and the powerful solution with the advanced features and advantages which are as follows: Data Security.MySQL is free open source database that facilitates the effective management of the databases by connecting them to the software.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
6th International Conference on Machine Learning & Applications (CMLA 2024)ClaraZara1
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Using MpCCI to model Fluid-Structure-Interactions with ABAQUS and 3rd party CFD Tools
1. Using MpCCI to Model
Fluid-Structure-
Interactions with
Abaqus and 3rd party
CFD Tools
Bettina Landvogt, scapos AG
Burak Ozturk, VIAS
Arindam Chakraborty, VIAS
2. Agenda
▪ Introduction: scapos and MpCCI
▪ scapos AG
▪ MpCCI Products
▪ MpCCI for FSI
▪ Fluid-Structure Interaction Examples
▪ Elastic Flap => MpCCI GUI
▪ Hydraulic Pump
▪ Airfoil Benchmarks
▪ Racing Car Spoilers
▪ Rotating Fans
4. Introduction – scapos AG
scapos AG supports research institutes and small
enterprises (software development) with
marketing and sales&distribution expertise
Founded in January 2009 (Fraunhofer spin-off)
Employees 10
Location Schloss Birlinghoven
Sankt Augustin, Germany
6. • MpCCI CouplingEnvironment: vendor-neutral interface for coupling of simulation codes:
– Bi-directional data transfer via fast socket connections, handling of non-matching
interface geometries
– Different coupling schemes: explicit or iteratively implicit transient, steady-state or
mixed (steady-state and transient)
– Easy usage via GUI or batch, visualization of results
• MpCCI FSIMapper: file-based mapping of CFD loads to FEA (pressures or thermal quantities
can be used as boundary conditions or loads)
• MpCCI Mapper: Independent Mapping Tool for Integrated Simulation Workflows (e.g.
mapping from manufacturing simulations to crash simulations input decks)
Multiphysics Products
8. Fluid-Structure Interactions
Aerodynamic fields
incorporating current deflection
• OpenFOAM
• ANSYS Fluent
• Star-CCM+
CFD
Deformation of part (e.g. wing,
spoiler)
• Abaqus
• ANSYS Mechanical
• MSC.Nastran
FEA
RelWallForce
OverPressure
• CFD Code has to adapt the mesh to the
new position sent by FEA code. This can
either be handled by the CFD code itself
(Fluent, Star-CCM+) or by the MpCCI
morpher module (particularly for
OpenFOAM)
NPosition
• Different Coupling Algorithms are
available (transient, steady-state, mixed,
iterative, Gauß-Seidel, Jacobi,..)
• Examples for FSI: Valves, Ships, Cars,
Airplanes, Container, Thermal FSI
11. Problem Description
CFD FEA
• ANSYS Fluent
• Model of channel
• Dynamic mesh
• Abaqus
• Model of flap
• BC: fixed top
RelWallForce
OverPressure
NPosition
13. Problem Description
During a research project at the University of Gdansk a
new axial (constant and variable displacement) pump
with a cam-driven commutation unit was developed.
Prototypes showed good performance but possibly
harmful pressure peaks at beginning of periods of
disconnection.
Idea: shorten the period of disconnection
with an additional chamber
(compensation chamber) equipped with
an elastic wall.
14. Pressure peaks reduced by 50%,
without affecting efficiency!
TODO:
Use Numerical Simulation to
optimize the shape, elasticity and
volume of chamber while
minimizing pressure peaks.
Compensation Chamber
Elastic Wall =>
FSI Simulation
15. CFD and FEA Models
Symmetric half model with two chambers
and full model with seven chambers in Fluent
Symmetric Abaqus model
with shell elements
CFD FEA
16. CFD FSI
(FLUENT) (Abaqus-MpCCI-Fluent)
Pressure Plots at three discrete points of the pump.
Results of Coupled and CFD only Simulations
FSI results fitted significantly
better to experiments than CFD
stand-alone simulations
18. ▪ High Reynolds Number Aero-Structural Dynamics, DFG
funded project at RWTH Aachen
(=> HIRENASD)
▪ Reynolds numbers up to 80 million, high transonic Mach
numbers (strong non-linearities like compression waves
and steady and transient stalls )
=> passenger aircraft cruising
Problem Description
Experiments:
Steady and transient measurements using a 1.3 m wing with a profile typical for a
big passenger aircraft
Measuring equipment:
250 miniature pressure sensors, 11 acceleration sensors, 22 strain sensors
19. Material Properties
Young’s modulus 2.1e11 Pa
Poisson number ~0.3125 (dep. on T)
Density 7860 kg/m3
Therm. Expansion
Coefficient
~1.3e-05 (dep. onT)
Discretisation ~200 000
Tet10 elements
FEA Model
20. Material properties - Air
Density Ideal gas
Viscosity 1.54434 kg/m s
Boundary Conditions
PressureInlet: Pressure 76239 Pa
Temperature 265.957 K
Pressure Outlet 0 Pa
Operating Pressure 137764 Pa
▪ Experimental measurements are available for different configurations.
▪ For example: Ma=0.8, Re=7 million
CFD Model
21. CFD Model
Discretisation:
~15 million tetrahedral and prismatic
cells
14 boundary layers
Solver:
Transient: density-based solver, 2nd order
implicit, steady state starting solution
Steady: implicit, density-based solver
Spalart-Allmaras turbulence model
24. Racing Car Spoilers • Selective Morphing
• Cluster/batch integration
• FSIMapper for “Pre-Check“
25. Problem Description
Example: Rear Spoiler of F1 racing car
Made up of three spoiler elements, attached to
the side plate.
Simulation models are symmetric half models.
26. CFD and FEA Simulation Models
CFD FEA
• Star-CCM+, OpenFOAM
• Model of 8 m long car in 30 m
long channel
• Different simulations: steady
state, transient
• Abaqus
• Only spoiler or other
interesting parts
• Interior structure and material
properties can be complicated
RelWallForce
OverPressure
NPosition
27. Mesh motion in CFD
In the CFD code: mesh has to be adapted to deformation
calculated by FEA.
All CFD codes offer multiple methods for mesh motion.
For OpenFOAM (as an alternative to OF mesh motion solvers):
MpCCI Mesh Morpher
• spring-based morphing tool for MpCCI
• Offers the possibility to morph only small regions close to
deforming boundary => save computational time
Cell zone defined
for morphing
Selective Morphing
CFD NPosition
28. Animation of the
displacement for the
two coupling surfaces:
FEA model (Abaqus)
CFD model (Star-CCM+)
Results of Coupled Simulation
29. Results of Coupled Simulation
Overpressure contour on coupling surfaces for
Abaqus and Star-CCM+ as shown in the MpCCI
30. Example Case HPC Formula 1 Case
CFD model size 16 million cells >> 100 million cells
CFD run time 10 min per 50 iterations
(steady state, 32 cpus)
Confidential
FEA model size 14,000 cells 1 million cells
FEA run time << 1 minute per coupling
step, static, 2 cpus
Confidential
Coupling surface size 14,000 cells 1 million cells
multiple regions
Add. Coupling run time
Initialization
Per Coupling Step
Morphing of OF mesh
12.4 s
<< 1 second
~20 seconds
Confidential
Run Times and Size of Models
31. Spoiler CFD FSI
Drag
Coefficient
Top 0.1812 0.2139
Middle 0.061 0.0678
Downforce
Coefficient
Top 0.1778 0.2396
Middle 0.2900 0.3087
Maximum
Deformation
Top - 2 mm
Middle - 6 mm
Drag and Downforce Coefficient for the two coupled spoilers for
CFD stand-alone and coupled FSI simulations.
(Coupling of steady state CFD simulation with static FEA.
Subcycling for CFD: 10 iterations.)
Comparison of FSI and CFD stand-alone Results
Results are different: FSI
simulation captures more
effects and is more realistic!
33. • CFD (Fluent) and FEA (Abaqus) simulation of fan rotating with 1700 rpm
• Both rotation and local deformation considered
• Transient coupling scheme
• Mixed mesh motion model
Problem description
34. CFD and FEA Simulation Model
CFD FEA
• Fluent
• Dynamic Mesh, Sliding
Mesh
• 900,000 tetrahedral elements
• Abaqus
• Moving Reference Frame
• 34,000 quadratic tetrahedral
elements
RelWallForce
OverPressure
NPosition
35. • Nodal distance (mm) of the
FSI meshes
• Overpressure (Pa) on the FSI
meshes
Results of Coupled Simulation
36. Vibrations of
control points
when FSI
considered
Vibrations of
control points
when FSI not
considered
Results of Coupled Simulation
Results are different: FSI
simulation captures more
effects and is more realistic!
37. Conclusion
Coupled Simulations are easy to set up:
Stand-alone models can be used without (almost) any additional work.
Settings can be handled in the MpCCI GUI.
Monitoring the Coupled Simulation
Coupled quantities can be monitored during and after the simulation.
Simulation codes write their usual output files (e.g. Abaqus .odb).
Additional tool: MpCCI FSIMapper to check whether FSI is necessary
=> Efficient use of Simulation Time
38. Conclusion
Results of Coupled Simulations:
FSI simulations include more physical effects than CFD (or FEA) stand-alone simulations.
FSI gives better predictions of the real world.
Coupled Simulations are easy to set up:
Stand-alone models can be used without (almost…) any additional work.
Settings can be handled in the MpCCI GUI.
Monitoring the Coupled Simulation
Coupled quantities can be monitored during and after the simulation.
Simulation codes write their usual output files (e.g. Abaqus .odb).
Additional tool: MpCCI FSIMapper to check whether FSI is necessary
=> Efficient use of Simulation Time