Evolutionary Algorithms in modefrontier

Size: px
Start display at page:

Download "Evolutionary Algorithms in modefrontier"

Transcription

1 Evolutionary Algorithms in modefrontier Carlo Poloni Univ. Trieste Italy 1 PRESENTATION OUTLINE Some concept on OPTIMIZATION what we need and what we can do Some considerations about Evolutionary Algorithms some hystory & state of the art Some examples Optimisation of a composite wing - Fluid/Structure interaction Marc, StarCD, Nastran Optimisation of Gas Turbine performance Tascflow Optimisation of hot-stamping process Abaqus 2

2 Design Office Needs Today Product Development: Pre-design CAD use CAE for verification Testing Production The design is almost frozen after Pre-design Modification after CAE are costly Analyst work often frustrating: usless information, criticism for inaccuracies, cost of computing not visible in product innovation 3 Design Office Needs Pre-design Parametric CAD Extensive CAE FRONTIER Testing Production Build parametric models Make rational design data-flow USE all best company skills from the beginning Optimise the product and produce innovation Reduce time to market with better products 4

3 The use of Design Optimisation means: Formulate a logic analysis process Execute simulations or experiments efficiently IT infrastructure (Intranet) Logic and Optimisation Algorithms Archive in an organized way sensible data in an easyly accessible way (through a web browser) Take rational decisions on the best compromise between cost and performances 5 Optimisation needs An Optimisation task: requires several repetition of the complete computation cycle parameterise all computation flow involving commercial software and/or in-house utilities need of flexible utilities to extract relevant information control parameters input files objectives to optimise output files needs to control the global computation time use the best optimisation approach among several (RMS, DOE, MOGA, ANN ) send and control many jobs on a hybrid network parallelise optimisation steps needs to get insight on system behaviour (N-dimension space), allowing the designer to make the right decision contribution of parameters Pareto dominance 6

4 Global Optimisation Strategy Multi Objective Genetic Algorithm for global exploration Local Hill Climbing for improvements Approximation Training Data Derivatives Interpolation techniques for data synthesis Multi Objective Genetic Algorithms for design space exploration Simplex for local search Gradient based methods for accurate refinements 7 FRONTIER Product Properties ALL platforms are supported Browser based technology JAVA, XML, RMI, CORBA Capability of handling any computing services files or API (Application Protocol Interface) from CFD to MS-EXCEL Optimisation Algorithms Multi-Objective Genetic Algorithm, Simplex Gradient based methods DOE (Design of Experiments) FRONTIER allows the user to extract the maximum of information allowed by the user-defined CPU budget Decision Support tools Multi Criteria Decision Making Design Data visualization Statistical tools for Design Data Analysis (robust design) Design Data filtering Response Surface Models Polynomial (1st, 2nd order) Exponential k-nearest Kriging Gaussian Process Neural Networks 8

5 Evolutionary Algorithms, some hystory In USA: 1973 J.Holland first systematic work on Genetic Algorithm 1989 Book by D.E.Goldberg In Europe: 1969 I.Rechenberg and H.P.Schwefel first paper on Evolution Strategy 1992 Book by H.P. Schwefel Since then 2 major worldconferences are organised each year on the unified name: Evolutionary Algorithm Now moveing to even more wider name of computational intelligence At European level: INGENET Genetic Algorithms in Engineering applications A Framework IV Thematic Network ( ) Evolutionary Algorithm EUROGEN conferences 9 A simple Algorithm do ng gener at i on do ni nd i ndi vi dual s translate bits into variables comput e obj ect i ves => int erface t o anal ysi s end do Do some st at i st i cs on t he popul at i on i ndi vi dual s do Cr eat e a new popul at i on: by cr oss over : sel ect i ndi vi dual and reproduce Select Modify end do end do by mut at i on: sel ect i ndi vi dual s and mu t a t e 10

6 State of the art EA SGA simple genetic algorithm ES µ,λ evolution strategy with µ individuals λ offsprings Self Adaptive Algorithms (tuning parameters are updated during the evolution) Hystorical algorithms, Robust but expencive New development, even more robust Hybrid Algorithms ( Evolutinary / Gradient opeartors ) New development, efficient but less robust Self Adaptive Algorithms with embedded meta-modelling Efficient and Robust, latest development 11 One application: 3D wing Optimisation Reference Airfoil: Onera M6 wing Mach number 0.84 Reynolds number 10e 6 12

7 Objectives and Variables 3D case! Variables:! Coordinates of spline control points in CATIA! Objectives:! MAX CL! MIN CD! MIN CM Computed by Star CD 13 Optimisation logic INPUT StarCD StarCD CATIA CATIA script script OUTPUT OUTPUT 14

8 Optimisation Run Optimiser: MOGA 30 x Optimisation run Min Cd Constraints on: Cl > Cm < Wing Volume 16

9 Results Onera M6 Cl Cd Cm Onera M Optimized Optimized -12% Drag 17 Results Onera M6 Cl Cd Cm Onera M Optimized Optimized -12% Drag 18

10 3D wing Optimisation General Remark CATIAv5 PROSTAR- STARCD PROSTAR design chain has been succesfully tested The optimisation run found significant improvement over existing solution (Onera M6 wing) Courtesy 19 Example (1): fluid structure interaction Design of a composite wing CFD Code STAR-CD Structural code MARC GEOM_INIT CFD CFD_to_FEM FEM_to_CFD FEM OUTPUT Conv? Coupling StarCD & MARC 20

11 Example (1): fluid-structure interaction Objectives! MIN mass! MIN deformation! MAX Lift! MIN Drag! MAX Lift/Drag ratio Profile NACA4412 C/L = 10 C L Coupling StarCD & MARC 21 Example (1): fluid-structure interaction Variables! Parabolic variation of thickness (3 variables)! Relative thickness of layers (2 variables)! Fibers orientation (3 variables)! Materials:! VICOTEX 1454/48%/G1051 (epoxy+carbon bidirectional)! NCHM 1748/38%/M46J (epoxi+carbonio unidirectional) Coupling StarCD & MARC 22

12 Example (1): fluid-structure interaction Tipo di accoppiamento Hard coupled Soft coupled ALE (Arbitrary Lagragian Eulerian) DMM (Dinamic Mesh Methods) Closely-coupled* loosely-coupled Pressure values are passed to the structural code Displacements are passed to the CFD code Interpolation is needed Coupling StarCD & MARC 23 Example (1): fluid-structure interaction INPUT CFD-FEM FEM StarCD Prostar FEM-CFD FEM-CFD MARC Script OUTPUT CONV.? Coupling StarCD & MARC 24

13 Example (1): fluid-structure interaction Computed conf. Prot.1 Prot.2 Prot.4 Rigid Var Var Var Var Var Var Var Var Mass Lift Drag Def Eff Best performances are obtained using the deformable structure! Coupling StarCD & MARC 25 Example (1): fluid-structure interaction Prot.4 - MAX efficiency root increased load tip decreased load Coupling StarCD & MARC 26

14 Example (1): fluid-structure interaction Prot. 2 MAX lift, low efficiency root increased Load tip increased Load Coupling StarCD & MARC 27 Design problem An existing gas-turbine axial wheel must be improved, therefore: the static pressure ratio is given hub and shroud shape are given inlet is given, exit angle should match the stator the efficiency should be possibly improved the number of blades possibly reduced the mass of the blade (centrifugal forces) be reduced profile thickness increased (cooling) 28

15 Simulation set-up Problem simplification: GEOMETRY: no tip clearance PHYSICS: steady state analysis MESH: nodes with NI=70 (inlet to outlet) NJ=40 (periodicity) NK=34 (hub to shroud) BC: periodic, moving walls, inlet: pressure, turbulence, temperature and velocity distribution; CPU for one analysis: 4 hours on one processor PENTIUM III 550Mhz, 128Mbyte 29 Optimisation set-up General Requirements: the geometric input parameters must not yield excessive distortion all simulations have to run to the same convergence level radial stacking has to be fixed expansion ratio has to be fixed Objectives: minimise the number of blades minimise the taper ratio hub to shroud maximise profile thickness maximize efficiency Constraints: new efficiency > old efficiency mean exit angle < original blade +1 mean exit angle > original blade -1 max exit angle < original blade +5 min exit angle > original blade - 5 Variables: # of blades (1 parameter) profile thickness (%of increment, 1 parameter) tapering (linear, 1 parameter) angles of 5 profiles from hub to shroud (5 parameters) profile shape at 90% radius (4 parameters) 30

16 Geometry parameterisation profile thickness (% of increment, 1 parameter) + = tapering (linear, 1 parameter) angles of 5 profiles from hub to shroud (5 parameters) profile shape at 90% radius (4 parameters) + = 31 Design Logic Input variables output variables Input files output files applications transfer files logic controls objectives $ constraints 0o0 32

17 Optimisation strategy Initial screening MOGA 36 x 10 (320 simulations considering repeated analysis) 4 objectives analysis of results 12 processors Linux 4.4 days cluster First refinement running 12 TASCFlow MOGA 30 x 10 (184 simulations) simulations concurrently 2 Objectives handled by FRONTIER analysis of results 2.5 days Final Optimisation Single objective, 30 x 10 (168 simulations) One optimal geometry found 2.3 days 33 Initial screening Original blade eff. Eff. Thic. #Bla. #Bla. Tap. The first optimisation run shows: from 84 to 90 blades efficiency improvements are possible profile thickness can be increased tapering can be introduced #Bla. 34

18 First run Pareto solutions Eff. Thic. #Bla. #Bla. Tap. #Bla. 2 parameters and objectives can now be fixed: 84 Blades 6% Tapering 35 Refinement with 2 Objectives Thic. Thic. Original blade 4 solutions are not dominated 84 blades, 6% Tapering, 25% thicker, efficiency Eff. Eff. 36

19 Final Optimisation 84 Blades, 6% Tapering, 12.5% Increased Thickness (both side, suction and pressure side, total 25%) Efficiency Optimisation final results Parameter Original Blade Optimized blade # blades Taper 100% 94% Thickness 100% 125% Efficiency 92.00% 92.80% Expansion ratio Outflow angle Reaction rate

20 Results Original Optimised 39 Conclusion Evolutionary Algorithms are one component of the design optimisation process Recently developed algorithms are robust and efficient But the design otimisation process, whatever is the algorithm, is not a push-button-get-result process but is a knowledge acquisition, knowledge exploitation, decision-making process that, to be effective must have all the following ingredients: Parametric models Mathematical algorithms Flexible IT infrastructure 40

Optimization algorithms for aeronautical engine components: CFD design applications

Optimization algorithms for aeronautical engine components: CFD design applications Optimization algorithms for aeronautical engine components: CFD design applications 1 Outline CFD Optimization Research projects Combustor applications Injection system design à swirl number Cowl design

More information

Multiobjective Robust Design Optimization of a docked ligand

Multiobjective Robust Design Optimization of a docked ligand Multiobjective Robust Design Optimization of a docked ligand Carlo Poloni,, Universitaʼ di Trieste Danilo Di Stefano, ESTECO srl Design Process DESIGN ANALYSIS MODEL Dynamic Analysis Logistics & Field

More information

Simulation of Fluid-Structure Interactions in Aeronautical Applications

Simulation of Fluid-Structure Interactions in Aeronautical Applications Simulation of Fluid-Structure Interactions in Aeronautical Applications Martin Kuntz Jorge Carregal Ferreira ANSYS Germany D-83624 Otterfing Martin.Kuntz@ansys.com December 2003 3 rd FENET Annual Industry

More information

CFD Analysis of Swept and Leaned Transonic Compressor Rotor

CFD Analysis of Swept and Leaned Transonic Compressor Rotor CFD Analysis of Swept and Leaned Transonic Compressor Nivin Francis #1, J. Bruce Ralphin Rose *2 #1 Student, Department of Aeronautical Engineering& Regional Centre of Anna University Tirunelveli India

More information

COMPUTATIONAL FLUID DYNAMICS (CFD) ANALYSIS OF INTERMEDIATE PRESSURE STEAM TURBINE

COMPUTATIONAL FLUID DYNAMICS (CFD) ANALYSIS OF INTERMEDIATE PRESSURE STEAM TURBINE Research Paper ISSN 2278 0149 www.ijmerr.com Vol. 3, No. 4, October, 2014 2014 IJMERR. All Rights Reserved COMPUTATIONAL FLUID DYNAMICS (CFD) ANALYSIS OF INTERMEDIATE PRESSURE STEAM TURBINE Shivakumar

More information

GEOMETRIC, THERMODYNAMIC AND CFD ANALYSES OF A REAL SCROLL EXPANDER FOR MICRO ORC APPLICATIONS

GEOMETRIC, THERMODYNAMIC AND CFD ANALYSES OF A REAL SCROLL EXPANDER FOR MICRO ORC APPLICATIONS 2 nd International Seminar on ORC Power Systems October 7 th & 8 th, 213 De Doelen, Rotterdam, NL GEOMETRIC, THERMODYNAMIC AND CFD ANALYSES OF A REAL SCROLL EXPANDER FOR MICRO ORC APPLICATIONS M. Morini,

More information

FLUX / GOT-It Finite Element Analysis of electromagnetic devices Maccon GmbH

FLUX / GOT-It Finite Element Analysis of electromagnetic devices Maccon GmbH FLUX / GOT-It Finite Element Analysis of electromagnetic devices Maccon GmbH Entwurfswerkzeuge für elektrische Maschinen MACCON GmbH 09/04/2013 1 Flux software Modeling electromagnetic and thermal phenomena

More information

Keywords: CFD, heat turbomachinery, Compound Lean Nozzle, Controlled Flow Nozzle, efficiency.

Keywords: CFD, heat turbomachinery, Compound Lean Nozzle, Controlled Flow Nozzle, efficiency. CALCULATION OF FLOW CHARACTERISTICS IN HEAT TURBOMACHINERY TURBINE STAGE WITH DIFFERENT THREE DIMENSIONAL SHAPE OF THE STATOR BLADE WITH ANSYS CFX SOFTWARE A. Yangyozov *, R. Willinger ** * Department

More information

Pushing the limits. Turbine simulation for next-generation turbochargers

Pushing the limits. Turbine simulation for next-generation turbochargers Pushing the limits Turbine simulation for next-generation turbochargers KWOK-KAI SO, BENT PHILLIPSEN, MAGNUS FISCHER Computational fluid dynamics (CFD) has matured and is now an indispensable tool for

More information

CFturbo Modern turbomachinery design software

CFturbo Modern turbomachinery design software COMPRESSOR Tech Magazine CFturbo Modern turbomachinery design software Designing new compressors from scratch and compressor redesign By Ralph-Peter Mueller & Gero Kreuzfeld Ralph-Peter Mueller and Gero

More information

Application of CFD Simulation in the Design of a Parabolic Winglet on NACA 2412

Application of CFD Simulation in the Design of a Parabolic Winglet on NACA 2412 , July 2-4, 2014, London, U.K. Application of CFD Simulation in the Design of a Parabolic Winglet on NACA 2412 Arvind Prabhakar, Ayush Ohri Abstract Winglets are angled extensions or vertical projections

More information

Computational Modeling of Wind Turbines in OpenFOAM

Computational Modeling of Wind Turbines in OpenFOAM Computational Modeling of Wind Turbines in OpenFOAM Hamid Rahimi hamid.rahimi@uni-oldenburg.de ForWind - Center for Wind Energy Research Institute of Physics, University of Oldenburg, Germany Outline Computational

More information

Relevance of Modern Optimization Methods in Turbo Machinery Applications

Relevance of Modern Optimization Methods in Turbo Machinery Applications Relevance of Modern Optimization Methods in Turbo Machinery Applications - From Analytical Models via Three Dimensional Multidisciplinary Approaches to the Optimization of a Wind Turbine - Prof. Dr. Ing.

More information

Automated moving mesh techniques in CFD

Automated moving mesh techniques in CFD Unione Europea Repubblica Italiana Regione Autonoma della Sardegna Automated moving mesh techniques in CFD Application to fluid-structure interactions and rigid motions problems MANUELA PROFIR manuela@crs4.it

More information

CFD ANALYSIS FOR A CENTRIFUGAL BENCHMARK BLOWER WITH FLAT HUB I: FLOW STRUCTURES AND NOISE SOURCE GENERATION

CFD ANALYSIS FOR A CENTRIFUGAL BENCHMARK BLOWER WITH FLAT HUB I: FLOW STRUCTURES AND NOISE SOURCE GENERATION CFD ANALYSIS FOR A CENTRIFUGAL BENCHMARK BLOWER WITH FLAT HUB I: FLOW STRUCTURES AND NOISE SOURCE GENERATION ROBERT SANDBOGE Abstract. A centrifugal blower with a flat hub, which is a simplification of

More information

Software-Engineering und Optimierungsanwendungen in der Thermodynamik

Software-Engineering und Optimierungsanwendungen in der Thermodynamik Software-Engineering und Optimierungsanwendungen in der Thermodynamik Optimierung 3 Optimization Frameworks Prof. Dr. Rolf Dornberger Optimization: 3 Optimization Frameworks 30.04.2006 3 Optimization Frameworks

More information

University Turbine Systems Research 2012 Fellowship Program Final Report. Prepared for: General Electric Company

University Turbine Systems Research 2012 Fellowship Program Final Report. Prepared for: General Electric Company University Turbine Systems Research 2012 Fellowship Program Final Report Prepared for: General Electric Company Gas Turbine Aerodynamics Marion Building 300 Garlington Rd Greenville, SC 29615, USA Prepared

More information

The Influence of Aerodynamics on the Design of High-Performance Road Vehicles

The Influence of Aerodynamics on the Design of High-Performance Road Vehicles The Influence of Aerodynamics on the Design of High-Performance Road Vehicles Guido Buresti Department of Aerospace Engineering University of Pisa (Italy) 1 CONTENTS ELEMENTS OF AERODYNAMICS AERODYNAMICS

More information

Dimensioning, Design and Simulation of highperformance centrifugal pumps with CFturbo and Ansys CFX

Dimensioning, Design and Simulation of highperformance centrifugal pumps with CFturbo and Ansys CFX 8. CFD Seminar Power Generation Dimensioning, Design and Simulation of highperformance centrifugal pumps with CFturbo and Ansys CFX Dr. Oliver Velde CFturbo Software & Engineering GmbH Content Introduction

More information

Rapid Design of an optimized Radial Compressor using CFturbo and ANSYS

Rapid Design of an optimized Radial Compressor using CFturbo and ANSYS Rapid Design of an optimized Radial Compressor using CFturbo and ANSYS Enrique Correa, Marius Korfanty, Sebastian Stübing CFturbo Software & Engineering GmbH, Dresden (Germany) PRESENTATION TOPICS 1. Company

More information

Experts in Computational Fluid Dynamics

Experts in Computational Fluid Dynamics Experts in Computational Fluid Dynamics TotalSim Background TotalSim is an independent CFD consultancy firm specialising in aerodynamic and hydrodynamic design and development through the use of open source

More information

Balancing Manufacturability and Optimal Structural Performance for Laminate Composites through a Genetic Algorithm

Balancing Manufacturability and Optimal Structural Performance for Laminate Composites through a Genetic Algorithm Balancing Manufacturability and Optimal Structural Performance for Laminate Composites through a Genetic Algorithm Mike Stephens Senior Composites Stress Engineer, Airbus UK Composite Research, Golf Course

More information

Lecture 16 - Free Surface Flows. Applied Computational Fluid Dynamics

Lecture 16 - Free Surface Flows. Applied Computational Fluid Dynamics Lecture 16 - Free Surface Flows Applied Computational Fluid Dynamics Instructor: André Bakker http://www.bakker.org André Bakker (2002-2006) Fluent Inc. (2002) 1 Example: spinning bowl Example: flow in

More information

CONVERGE Features, Capabilities and Applications

CONVERGE Features, Capabilities and Applications CONVERGE Features, Capabilities and Applications CONVERGE CONVERGE The industry leading CFD code for complex geometries with moving boundaries. Start using CONVERGE and never make a CFD mesh again. CONVERGE

More information

FLUID FLOW ANALYSIS OF CENTRIFUGAL FAN BY USING FEM

FLUID FLOW ANALYSIS OF CENTRIFUGAL FAN BY USING FEM International Journal of Mechanical Engineering and Technology (IJMET) Volume 7, Issue 2, March-April 2016, pp. 45 51, Article ID: IJMET_07_02_007 Available online at http://www.iaeme.com/ijmet/issues.asp?jtype=ijmet&vtype=7&itype=2

More information

GT2011 46090 ANALYSIS OF A MICROGASTURBINE FED BY NATURAL GAS AND SYNTHESIS GAS: MGT TEST BENCH AND COMBUSTOR CFD ANALYSIS

GT2011 46090 ANALYSIS OF A MICROGASTURBINE FED BY NATURAL GAS AND SYNTHESIS GAS: MGT TEST BENCH AND COMBUSTOR CFD ANALYSIS ASME Turbo Expo 2011 June 6 10, 2011 Vancouver, Canada GT 2011 46090 ANALYSIS OF A MICROGASTURBINE FED BY NATURAL GAS AND SYNTHESIS GAS: MGT TEST BENCH AND COMBUSTOR CFD ANALYSIS M. Cadorin 1,M. Pinelli

More information

Initial Design and Optimization of Turbomachinery with CFturbo and optislang

Initial Design and Optimization of Turbomachinery with CFturbo and optislang Initial Design and Optimization of Turbomachinery with CFturbo and optislang Sebastian Stübing, Gero Kreuzfeld, Ralph-Peter Müller (CFturbo) Stefan Marth, Michael Schimmelpfennig (Dynardo) page 1/21 Contents

More information

MULTI-OBJECTIVE OPTIMIZATION WITH MODEFRONTIER INTERFACES FOR ANSA AND METAPOST

MULTI-OBJECTIVE OPTIMIZATION WITH MODEFRONTIER INTERFACES FOR ANSA AND METAPOST MULTI-OBJECTIVE OPTIMIZATION WITH MODEFRONTIER INTERFACES FOR ANSA AND METAPOST 1 Alberto Clarich *, 2 Rosario Russo, 3 Marco Carriglio 1,2, 3 ESTECO srl, Trieste, Italy KEYWORDS Multi-objective Optimization,

More information

AERODYNAMIC ANALYSIS OF BLADE 1.5 KW OF DUAL ROTOR HORIZONTAL AXIS WIND TURBINE

AERODYNAMIC ANALYSIS OF BLADE 1.5 KW OF DUAL ROTOR HORIZONTAL AXIS WIND TURBINE AERODYNAMIC ANALYSIS OF BLADE 1.5 KW OF DUAL ROTOR HORIZONTAL AXIS WIND TURBINE HITENDRA KURMI Research scholar, School of Energy and Environmental Managment,UTD, RGPV Bhopal,MP,INDIA htr.ptl@gmail.com

More information

Investigation and Application of Multi-Disciplinary Optimization for. Automotive Body-in-White Development

Investigation and Application of Multi-Disciplinary Optimization for. Automotive Body-in-White Development Investigation and Application of Multi-Disciplinary Optimization for Abstract: Automotive Body-in-White Development Allen Sheldon*, Edward Helwig*, Yong-Bae Cho** * Honda R&D Americas, Inc. ** CSM Software,

More information

TwinMesh for Positive Displacement Machines: Structured Meshes and reliable CFD Simulations

TwinMesh for Positive Displacement Machines: Structured Meshes and reliable CFD Simulations TwinMesh for Positive Displacement Machines: Structured Meshes and reliable CFD Simulations 05.06.2014 Dipl.-Ing. Jan Hesse, Dr. Andreas Spille-Kohoff CFX Berlin Software GmbH Karl-Marx-Allee 90 A 10243

More information

Aeronautical Testing Service, Inc. 18820 59th DR NE Arlington, WA 98223 USA. CFD and Wind Tunnel Testing: Complimentary Methods for Aircraft Design

Aeronautical Testing Service, Inc. 18820 59th DR NE Arlington, WA 98223 USA. CFD and Wind Tunnel Testing: Complimentary Methods for Aircraft Design Aeronautical Testing Service, Inc. 18820 59th DR NE Arlington, WA 98223 USA CFD and Wind Tunnel Testing: Complimentary Methods for Aircraft Design Background Introduction ATS Company Background New and

More information

Thermal Simulation of a Power Electronics Cold Plate with a Parametric Design Study

Thermal Simulation of a Power Electronics Cold Plate with a Parametric Design Study EVS28 KINTEX, Korea, May 3-6, 2015 Thermal Simulation of a Power Electronics Cold Plate with a Parametric Design Study Boris Marovic Mentor Graphics (Deutschland) GmbH, Germany, boris_marovic@mentor.com

More information

Aeroelastic Investigation of the Sandia 100m Blade Using Computational Fluid Dynamics

Aeroelastic Investigation of the Sandia 100m Blade Using Computational Fluid Dynamics Aeroelastic Investigation of the Sandia 100m Blade Using Computational Fluid Dynamics David Corson Altair Engineering, Inc. Todd Griffith Sandia National Laboratories Tom Ashwill (Retired) Sandia National

More information

Lecture 6 - Boundary Conditions. Applied Computational Fluid Dynamics

Lecture 6 - Boundary Conditions. Applied Computational Fluid Dynamics Lecture 6 - Boundary Conditions Applied Computational Fluid Dynamics Instructor: André Bakker http://www.bakker.org André Bakker (2002-2006) Fluent Inc. (2002) 1 Outline Overview. Inlet and outlet boundaries.

More information

Fully Automatic In-cylinder Workflow Using HEEDS / es-ice / STAR-CD

Fully Automatic In-cylinder Workflow Using HEEDS / es-ice / STAR-CD Fully Automatic In-cylinder Workflow Using HEEDS / es-ice / STAR-CD Simon Fischer Senior ICE Application Support Engineer CD-adapco Nuremberg Office Gerald Schmidt Director/Powertrain - CD-adapco New York

More information

CFD modelling of floating body response to regular waves

CFD modelling of floating body response to regular waves CFD modelling of floating body response to regular waves Dr Yann Delauré School of Mechanical and Manufacturing Engineering Dublin City University Ocean Energy Workshop NUI Maynooth, October 21, 2010 Table

More information

THE CFD SIMULATION OF THE FLOW AROUND THE AIRCRAFT USING OPENFOAM AND ANSA

THE CFD SIMULATION OF THE FLOW AROUND THE AIRCRAFT USING OPENFOAM AND ANSA THE CFD SIMULATION OF THE FLOW AROUND THE AIRCRAFT USING OPENFOAM AND ANSA Adam Kosík Evektor s.r.o., Czech Republic KEYWORDS CFD simulation, mesh generation, OpenFOAM, ANSA ABSTRACT In this paper we describe

More information

Compatibility and Accuracy of Mesh Generation in HyperMesh and CFD Simulation with Acusolve for Torque Converter

Compatibility and Accuracy of Mesh Generation in HyperMesh and CFD Simulation with Acusolve for Torque Converter Compatibility and Accuracy of Mesh Genen in HyperMesh and CFD Simulation with Acusolve for Converter Kathiresan M CFD Engineer Valeo India Private Limited Block - A, 4th Floor, TECCI Park, No. 176 Rajiv

More information

Computational Fluid Dynamics

Computational Fluid Dynamics Aerodynamics Computational Fluid Dynamics Industrial Use of High Fidelity Numerical Simulation of Flow about Aircraft Presented by Dr. Klaus Becker / Aerodynamic Strategies Contents Aerodynamic Vision

More information

Behavioral Animation Simulation of Flocking Birds

Behavioral Animation Simulation of Flocking Birds Behavioral Animation Simulation of Flocking Birds Autonomous characters determine their actions Simulating the paths of individuals in: flocks of birds, schools of fish, herds of animals crowd scenes 1.

More information

Parametric optimization of an exhaust manifold using Isight, STAR-CCM+ and CATIA V5

Parametric optimization of an exhaust manifold using Isight, STAR-CCM+ and CATIA V5 Abstract Parametric optimization of an exhaust manifold using Isight, STAR-CCM+ and CATIA V5 Joel Davison CD-adapco - London The work presented demonstrates how Isight may be used to drive STAR-CCM+ and

More information

Formula 1 Aerodynamic Assessment by Means of CFD Modelling

Formula 1 Aerodynamic Assessment by Means of CFD Modelling Formula 1 Aerodynamic Assessment by Means of CFD Modelling DANSIS Automotive Fluid Dynamics Seminar 25 March 2015 Copenhagen Denmark Dr. Lesmana Djayapertapa Senior CFD Consultant LR Senergy Aberdeen -

More information

CFD Analysis of a Centrifugal Pump with Supercritical Carbon Dioxide as a Working Fluid

CFD Analysis of a Centrifugal Pump with Supercritical Carbon Dioxide as a Working Fluid KNS 2013 Spring CFD Analysis of a Centrifugal Pump with Supercritical Carbon Dioxide as a Working Fluid Seong Gu Kim Jeong Ik Lee Yoonhan Ahn Jekyoung Lee Jae Eun Cha Yacine Addad Dept. Nuclear & Quantum

More information

CFD Lab Department of Engineering The University of Liverpool

CFD Lab Department of Engineering The University of Liverpool Development of a CFD Method for Aerodynamic Analysis of Large Diameter Horizontal Axis wind turbines S. Gomez-Iradi, G.N. Barakos and X. Munduate 2007 joint meeting of IEA Annex 11 and Annex 20 Risø National

More information

NUMERICAL ANALYSIS OF WELLS TURBINE FOR WAVE POWER CONVERSION

NUMERICAL ANALYSIS OF WELLS TURBINE FOR WAVE POWER CONVERSION Engineering Review Vol. 32, Issue 3, 141-146, 2012. 141 NUMERICAL ANALYSIS OF WELLS TURBINE FOR WAVE POWER CONVERSION Z. 1* L. 1 V. 2 M. 1 1 Department of Fluid Mechanics and Computational Engineering,

More information

Commercial CFD Software Modelling

Commercial CFD Software Modelling Commercial CFD Software Modelling Dr. Nor Azwadi bin Che Sidik Faculty of Mechanical Engineering Universiti Teknologi Malaysia INSPIRING CREATIVE AND INNOVATIVE MINDS 1 CFD Modeling CFD modeling can be

More information

NUMERICAL MODELLING OF PIEZOCONE PENETRATION IN CLAY

NUMERICAL MODELLING OF PIEZOCONE PENETRATION IN CLAY NUMERICAL MODELLING OF PIEZOCONE PENETRATION IN CLAY Ilaria Giusti University of Pisa ilaria.giusti@for.unipi.it Andrew J. Whittle Massachusetts Institute of Technology ajwhittl@mit.edu Abstract This paper

More information

Express Introductory Training in ANSYS Fluent Lecture 1 Introduction to the CFD Methodology

Express Introductory Training in ANSYS Fluent Lecture 1 Introduction to the CFD Methodology Express Introductory Training in ANSYS Fluent Lecture 1 Introduction to the CFD Methodology Dimitrios Sofialidis Technical Manager, SimTec Ltd. Mechanical Engineer, PhD PRACE Autumn School 2013 - Industry

More information

Aerodynamic Design Optimization Discussion Group Case 4: Single- and multi-point optimization problems based on the CRM wing

Aerodynamic Design Optimization Discussion Group Case 4: Single- and multi-point optimization problems based on the CRM wing Aerodynamic Design Optimization Discussion Group Case 4: Single- and multi-point optimization problems based on the CRM wing Lana Osusky, Howard Buckley, and David W. Zingg University of Toronto Institute

More information

OpenFOAM Optimization Tools

OpenFOAM Optimization Tools OpenFOAM Optimization Tools Henrik Rusche and Aleks Jemcov h.rusche@wikki-gmbh.de and a.jemcov@wikki.co.uk Wikki, Germany and United Kingdom OpenFOAM Optimization Tools p. 1 Agenda Objective Review optimisation

More information

Hull form optimisation with Computational Fluid Dynamics

Hull form optimisation with Computational Fluid Dynamics Hull form optimisation with Computational Fluid Dynamics Aurélien Drouet, Erwan Jacquin, Pierre-Michel Guilcher Overview Context Software Bulbous bow optimisation Conclusions/perspectives Page 2 HydrOcean

More information

EXPERIMENTAL RESEARCH ON FLOW IN A 5-STAGE HIGH PRESSURE ROTOR OF 1000 MW STEAM TURBINE

EXPERIMENTAL RESEARCH ON FLOW IN A 5-STAGE HIGH PRESSURE ROTOR OF 1000 MW STEAM TURBINE Proceedings of 11 th European Conference on Turbomachinery Fluid dynamics & Thermodynamics ETC11, March 23-27, 2015, Madrid, Spain EXPERIMENTAL RESEARCH ON FLOW IN A 5-STAGE HIGH PRESSURE ROTOR OF 1000

More information

TwinMesh Grid Generator and CFD Simulation with ANSYS CFX

TwinMesh Grid Generator and CFD Simulation with ANSYS CFX TwinMesh Grid Generator and CFD Simulation with ANSYS CFX 2nd Short Course on CFD in Rotary Positive Displacement Machines London, 5th 6th September 2015 Dr. Andreas Spille-Kohoff Jan Hesse Rainer Andres

More information

APPLICATION OF OPTIMIZATION METHODS IN 2D HYDROFOIL DESIGN

APPLICATION OF OPTIMIZATION METHODS IN 2D HYDROFOIL DESIGN Electrozavodskaia St., 20, Moscow, 107023, Russia Phone/fax +7 (495) 788 1060 www.iosotech.com APPLICATION OF OPTIMIZATION METHODS IN 2D HYDROFOIL DESIGN Abstract Modern computer technologies allow us

More information

2013 Code_Saturne User Group Meeting. EDF R&D Chatou, France. 9 th April 2013

2013 Code_Saturne User Group Meeting. EDF R&D Chatou, France. 9 th April 2013 2013 Code_Saturne User Group Meeting EDF R&D Chatou, France 9 th April 2013 Thermal Comfort in Train Passenger Cars Contact For further information please contact: Brian ANGEL Director RENUDA France brian.angel@renuda.com

More information

PUTTING THE SPIN IN CFD

PUTTING THE SPIN IN CFD W H I T E PA P E R PUTTING THE SPIN IN CFD Overview Engineers who design equipment with rotating components need to analyze and understand the behavior of those components if they want to improve performance.

More information

Integrative Optimization of injection-molded plastic parts. Multidisciplinary Shape Optimization including process induced properties

Integrative Optimization of injection-molded plastic parts. Multidisciplinary Shape Optimization including process induced properties Integrative Optimization of injection-molded plastic parts Multidisciplinary Shape Optimization including process induced properties Summary: Andreas Wüst, Torsten Hensel, Dirk Jansen BASF SE E-KTE/ES

More information

Fully Coupled Automated Meshing with Adaptive Mesh Refinement Technology: CONVERGE CFD. New Trends in CFD II

Fully Coupled Automated Meshing with Adaptive Mesh Refinement Technology: CONVERGE CFD. New Trends in CFD II Flame Front for a Spark Ignited Engine Using Adaptive Mesh Refinement (AMR) to Resolve Turbulent Flame Thickness New Trends in CFD II Fully Coupled Automated Meshing with Adaptive Mesh Refinement Technology:

More information

Titelmasterformat durch Klicken bearbeiten

Titelmasterformat durch Klicken bearbeiten Titelmasterformat durch Klicken bearbeiten ANSYS AIM Product simulation for every engineer Erke Wang CADFEM GmbH Georg Scheuerer ANSYS Germany GmbH Christof Gebhardt CADFEM GmbH All products involve multiple

More information

CFD software overview comparison, limitations and user interfaces

CFD software overview comparison, limitations and user interfaces CFD software overview comparison, limitations and user interfaces Daniel Legendre Introduction to CFD Turku, 05.05.2015 Åbo Akademi University Thermal and Flow Engineering Laboratory 05.05.2015 1 Some

More information

CAE DATA & PROCESS MANAGEMENT WITH ANSA

CAE DATA & PROCESS MANAGEMENT WITH ANSA CAE DATA & PROCESS MANAGEMENT WITH ANSA Srikanth RAGHOTHAM Volvo India Private Limited Volvo Group Bangalore INDIA KEYWORDS Enovia-2-Ansa, Ansa Data Management (Ansa-DM) TECHNICAL PAPER CAE Data & Process

More information

High-end FEA pre/postprocessor

High-end FEA pre/postprocessor Advanced FEM: High-end FEA pre/postprocessor NX CAE Benefits Speed analysis modeling processes by up to 70 percent Increase product quality by rapidly simulating design trade-off studies Lower overall

More information

Combustion Engine Optimization

Combustion Engine Optimization Combustion Engine Optimization Stefan Jakobsson, Muhammad Saif Ul Hasnain,, Robert Rundqvist, Fredrik Edelvik, Michael Patriksson Mattias Ljungqvist Volvo Cars, Johan Wallesten and Dimitri Lortet Volvo

More information

CFD analysis for road vehicles - case study

CFD analysis for road vehicles - case study CFD analysis for road vehicles - case study Dan BARBUT*,1, Eugen Mihai NEGRUS 1 *Corresponding author *,1 POLITEHNICA University of Bucharest, Faculty of Transport, Splaiul Independentei 313, 060042, Bucharest,

More information

Overset Grids Technology in STAR-CCM+: Methodology and Applications

Overset Grids Technology in STAR-CCM+: Methodology and Applications Overset Grids Technology in STAR-CCM+: Methodology and Applications Eberhard Schreck, Milovan Perić and Deryl Snyder eberhard.schreck@cd-adapco.com milovan.peric@cd-adapco.com deryl.snyder@cd-adapco.com

More information

Module 6 Case Studies

Module 6 Case Studies Module 6 Case Studies 1 Lecture 6.1 A CFD Code for Turbomachinery Flows 2 Development of a CFD Code The lecture material in the previous Modules help the student to understand the domain knowledge required

More information

SHAPE OPTIMIZATION OF TYPICAL HEAVY-DUTY GAS TURBINE COMPRESSOR AIROFOIL USING METAMODEL BASED ALGORITHM

SHAPE OPTIMIZATION OF TYPICAL HEAVY-DUTY GAS TURBINE COMPRESSOR AIROFOIL USING METAMODEL BASED ALGORITHM 10 th World Congress on Structural and Multidisciplinary Optimization May 19-24, 2013, Orlando, Florida, USA SHAPE OPTIMIZATION OF TYPICAL HEAVY-DUTY GAS TURBINE COMPRESSOR AIROFOIL USING METAMODEL BASED

More information

Advanced discretisation techniques (a collection of first and second order schemes); Innovative algorithms and robust solvers for fast convergence.

Advanced discretisation techniques (a collection of first and second order schemes); Innovative algorithms and robust solvers for fast convergence. New generation CFD Software APUS-CFD APUS-CFD is a fully interactive Arbitrary Polyhedral Unstructured Solver. APUS-CFD is a new generation of CFD software for modelling fluid flow and heat transfer in

More information

Introduction to ANSYS

Introduction to ANSYS Lecture 3 Introduction to ANSYS Meshing 14. 5 Release Introduction to ANSYS Meshing 2012 ANSYS, Inc. March 27, 2014 1 Release 14.5 Introduction to ANSYS Meshing What you will learn from this presentation

More information

Optimum Design of Worm Gears with Multiple Computer Aided Techniques

Optimum Design of Worm Gears with Multiple Computer Aided Techniques Copyright c 2008 ICCES ICCES, vol.6, no.4, pp.221-227 Optimum Design of Worm Gears with Multiple Computer Aided Techniques Daizhong Su 1 and Wenjie Peng 2 Summary Finite element analysis (FEA) has proved

More information

Modelling and CFD Analysis of Single Stage IP Steam Turbine

Modelling and CFD Analysis of Single Stage IP Steam Turbine International Journal of Mechanical Engineering, ISSN:2051-3232, Vol.42, Issue.1 1215 Modelling and CFD Analysis of Single Stage IP Steam Turbine C RAJESH BABU Mechanical Engineering Department, Gitam

More information

COMPUTATIONAL ENGINEERING OF FINITE ELEMENT MODELLING FOR AUTOMOTIVE APPLICATION USING ABAQUS

COMPUTATIONAL ENGINEERING OF FINITE ELEMENT MODELLING FOR AUTOMOTIVE APPLICATION USING ABAQUS International Journal of Advanced Research in Engineering and Technology (IJARET) Volume 7, Issue 2, March-April 2016, pp. 30 52, Article ID: IJARET_07_02_004 Available online at http://www.iaeme.com/ijaret/issues.asp?jtype=ijaret&vtype=7&itype=2

More information

Computational Fluid Dynamics in Automotive Applications

Computational Fluid Dynamics in Automotive Applications Computational Fluid Dynamics in Automotive Applications Hrvoje Jasak h.jasak@wikki.co.uk Wikki Ltd, United Kingdom FSB, University of Zagreb, Croatia 1/15 Outline Objective Review the adoption of Computational

More information

DESIGN OF AIRFOILS FOR WIND TURBINE BLADES ABSTRACT

DESIGN OF AIRFOILS FOR WIND TURBINE BLADES ABSTRACT DESIGN OF AIRFOILS FOR WIND TURBINE BLADES V. PAREZANOVIC, B. RASUO*, M. ADZIC** University of Belgrade, Belgrade, Serbia, vparez@yahoo.com *University of Belgrade, Belgrade, Serbia, brasuo@mas.bg.ac.yu

More information

OMD 2 platform dedicated to HPC Optimisation

OMD 2 platform dedicated to HPC Optimisation OMD 2 platform dedicated to HPC Optimisation ScilabTEC 2011 École Polytechnique ACKNOWLEDGMENT: This work has been supported by French National Research Agency (ANR) through COSINUS program (project OMD

More information

DESIGN OF A KINETIC FINNED PROJECTILE USING GENETIC AND SIMPLEX ALGORITHMS

DESIGN OF A KINETIC FINNED PROJECTILE USING GENETIC AND SIMPLEX ALGORITHMS 23 RD INTERNATIONAL SYMPOSIUM ON BALLISTICS TARRAGONA, SPAIN 16-20 APRIL 2007 DESIGN OF A KINETIC FINNED PROJECTILE USING GENETIC AND SIMPLEX ALGORITHMS R.Cayzac 1, E.Carette 1, C.Rivet 2 and C.Runde 2

More information

Comparative Analysis of Gas Turbine Blades with and without Turbulators

Comparative Analysis of Gas Turbine Blades with and without Turbulators Comparative Analysis of Gas Turbine Blades with and without Turbulators Sagar H T 1, Kishan Naik 2 1 PG Student, Dept. of Studies in Mechanical Engineering, University BDT College of Engineering, Davangere,

More information

SOLIDWORKS SOFTWARE OPTIMIZATION

SOLIDWORKS SOFTWARE OPTIMIZATION W H I T E P A P E R SOLIDWORKS SOFTWARE OPTIMIZATION Overview Optimization is the calculation of weight, stress, cost, deflection, natural frequencies, and temperature factors, which are dependent on variables

More information

Neue Entwicklungen in LS-OPT/Topology - Ausblick auf Version 2

Neue Entwicklungen in LS-OPT/Topology - Ausblick auf Version 2 Neue Entwicklungen in LS-OPT/Topology - Ausblick auf Version 2 Willem Roux**, Heiner Muellerschoen*, Katharina Witowski* *DYNAmore GmbH **LSTC contact: hm@dynamore.de DYNAmore GmbH Germany http://www.dynamore.de

More information

Numerical Analysis of Independent Wire Strand Core (IWSC) Wire Rope

Numerical Analysis of Independent Wire Strand Core (IWSC) Wire Rope Numerical Analysis of Independent Wire Strand Core (IWSC) Wire Rope Rakesh Sidharthan 1 Gnanavel B K 2 Assistant professor Mechanical, Department Professor, Mechanical Department, Gojan engineering college,

More information

Turbulence Modeling in CFD Simulation of Intake Manifold for a 4 Cylinder Engine

Turbulence Modeling in CFD Simulation of Intake Manifold for a 4 Cylinder Engine HEFAT2012 9 th International Conference on Heat Transfer, Fluid Mechanics and Thermodynamics 16 18 July 2012 Malta Turbulence Modeling in CFD Simulation of Intake Manifold for a 4 Cylinder Engine Dr MK

More information

Model-based Parameter Optimization of an Engine Control Unit using Genetic Algorithms

Model-based Parameter Optimization of an Engine Control Unit using Genetic Algorithms Symposium on Automotive/Avionics Avionics Systems Engineering (SAASE) 2009, UC San Diego Model-based Parameter Optimization of an Engine Control Unit using Genetic Algorithms Dipl.-Inform. Malte Lochau

More information

NACA 2415- FINDING LIFT COEFFICIENT USING CFD, THEORETICAL AND JAVAFOIL

NACA 2415- FINDING LIFT COEFFICIENT USING CFD, THEORETICAL AND JAVAFOIL NACA 2415- FINDING LIFT COEFFICIENT USING CFD, THEORETICAL AND JAVAFOIL Sarfaraj Nawaz Shaha 1, M. Sadiq A. Pachapuri 2 1 P.G. Student, MTech Design Engineering, KLE Dr. M S Sheshgiri College of Engineering

More information

Steady Flow: Laminar and Turbulent in an S-Bend

Steady Flow: Laminar and Turbulent in an S-Bend STAR-CCM+ User Guide 6663 Steady Flow: Laminar and Turbulent in an S-Bend This tutorial demonstrates the flow of an incompressible gas through an s-bend of constant diameter (2 cm), for both laminar and

More information

Design and Analysis of Engine Cooling Fan

Design and Analysis of Engine Cooling Fan International Journal of Current Engineering and Technology ISSN 2277-4106 2014 INPRESSCO. All Rights Reserved. Available at http://inpressco.com/category/ijcet Research Article Design and Analysis of

More information

Using CFD to improve the design of a circulating water channel

Using CFD to improve the design of a circulating water channel 2-7 December 27 Using CFD to improve the design of a circulating water channel M.G. Pullinger and J.E. Sargison School of Engineering University of Tasmania, Hobart, TAS, 71 AUSTRALIA Abstract Computational

More information

Introduction To Genetic Algorithms

Introduction To Genetic Algorithms 1 Introduction To Genetic Algorithms Dr. Rajib Kumar Bhattacharjya Department of Civil Engineering IIT Guwahati Email: rkbc@iitg.ernet.in References 2 D. E. Goldberg, Genetic Algorithm In Search, Optimization

More information

Tutorial: 2D Pipe Junction Using Hexa Meshing

Tutorial: 2D Pipe Junction Using Hexa Meshing Tutorial: 2D Pipe Junction Using Hexa Meshing Introduction In this tutorial, you will generate a mesh for a two-dimensional pipe junction, composed of two inlets and one outlet. After generating an initial

More information

3. Prescribe boundary conditions at all boundary Zones:

3. Prescribe boundary conditions at all boundary Zones: CFD ANALYSIS OF CHANGE IN SHAPE OF SUCTION MANIFOLD TO IMPROVE PERFORMANCE OF THE CENTRIFUGAL PUMP ABSTRACT Mr. Suraj K. Patil PG Student, Department of Mechanical Engineering /BIGCE, Solapur University,

More information

Towards Robust Designs Via Multiple-Objective Optimization Methods

Towards Robust Designs Via Multiple-Objective Optimization Methods VKI lecture series: Introduction to Optimization and Multidisciplinary Design March 6-10, 2006 Towards Robust Designs Via Multiple-Objective Optimization Methods Man Mohan Rai* NASA Ames Research Center,

More information

The Application of ABAQUS for CATIA V5 for Analyses in the Pre-Design and Design Phase

The Application of ABAQUS for CATIA V5 for Analyses in the Pre-Design and Design Phase The Application of ABAQUS for CATIA V5 for Analyses in the Pre-Design and Design Phase Fabien Debarle PSA Peugeot Citroën - 18 rue des Fauvelles - 92250 La Garenne Colombes - France Mathieu Durix Digital

More information

Design optimisation of an impeller with CFD and Meta-Model of optimal Prognosis (MoP)

Design optimisation of an impeller with CFD and Meta-Model of optimal Prognosis (MoP) Design optimisation of an impeller with CFD and Meta-Model of optimal Prognosis (MoP) Florian Frese Voith Turbo Aufladungssysteme, Germany Johannes Einzinger ANSYS, Germany Johannes Will Dynardo, Germany

More information

A Comparison of Analytical and Finite Element Solutions for Laminar Flow Conditions Near Gaussian Constrictions

A Comparison of Analytical and Finite Element Solutions for Laminar Flow Conditions Near Gaussian Constrictions A Comparison of Analytical and Finite Element Solutions for Laminar Flow Conditions Near Gaussian Constrictions by Laura Noelle Race An Engineering Project Submitted to the Graduate Faculty of Rensselaer

More information

ENHANCEMENT OF AERODYNAMIC PERFORMANCE OF A FORMULA-1 RACE CAR USING ADD-ON DEVICES B. N. Devaiah 1, S. Umesh 2

ENHANCEMENT OF AERODYNAMIC PERFORMANCE OF A FORMULA-1 RACE CAR USING ADD-ON DEVICES B. N. Devaiah 1, S. Umesh 2 ENHANCEMENT OF AERODYNAMIC PERFORMANCE OF A FORMULA-1 RACE CAR USING ADD-ON DEVICES B. N. Devaiah 1, S. Umesh 2 1- M. Sc. [Engg.] Student, 2- Asst. Professor Automotive and Aeronautical Engineering Department,

More information

ANALYTICAL AND EXPERIMENTAL EVALUATION OF SPRING BACK EFFECTS IN A TYPICAL COLD ROLLED SHEET

ANALYTICAL AND EXPERIMENTAL EVALUATION OF SPRING BACK EFFECTS IN A TYPICAL COLD ROLLED SHEET International Journal of Mechanical Engineering and Technology (IJMET) Volume 7, Issue 1, Jan-Feb 2016, pp. 119-130, Article ID: IJMET_07_01_013 Available online at http://www.iaeme.com/ijmet/issues.asp?jtype=ijmet&vtype=7&itype=1

More information

Dimensional analysis is a method for reducing the number and complexity of experimental variables that affect a given physical phenomena.

Dimensional analysis is a method for reducing the number and complexity of experimental variables that affect a given physical phenomena. Dimensional Analysis and Similarity Dimensional analysis is very useful for planning, presentation, and interpretation of experimental data. As discussed previously, most practical fluid mechanics problems

More information

Systematic Optimisation of Gearboxes for Hybrid and Electric Vehicles in Terms of Efficiency, NVH and Durability

Systematic Optimisation of Gearboxes for Hybrid and Electric Vehicles in Terms of Efficiency, NVH and Durability Systematic Optimisation of Gearboxes for Hybrid and Electric Vehicles in Terms of Efficiency, NVH and Durability Dr. Artur Grunwald GKN Driveline 1 Content of presentation Scope and introduction Gearbox

More information

f o r d e m a n d i n g C F D pre- & post-processing ANSA μετα p i o n e e r i n g software systems www.beta-cae.gr

f o r d e m a n d i n g C F D pre- & post-processing ANSA μετα p i o n e e r i n g software systems www.beta-cae.gr ANSA μετα p i o n e e r i n g software systems f o r d e m a n d i n g C F D pre- & post-processing TM www.beta-cae.gr ANSA with its powerful functionality provides high efficiency solutions for CFD applications.

More information

THE EVOLUTION OF TURBOMACHINERY DESIGN (METHODS) Parsons 1895

THE EVOLUTION OF TURBOMACHINERY DESIGN (METHODS) Parsons 1895 THE EVOLUTION OF TURBOMACHINERY DESIGN (METHODS) Parsons 1895 Rolls-Royce 2008 Parsons 1895 100KW Steam turbine Pitch/chord a bit too low. Tip thinning on suction side. Trailing edge FAR too thick. Surface

More information