b ANSA AS A PRE-PROCESSOR FOR LS-OPT BETA OPTIMIZATION - PowerPoint PPT Presentation

b ANSA AS A PRE-PROCESSOR FOR LS-OPT BETA OPTIMIZATION APPLICATIONS CAE Systems SA Georgios Korbetis DYNAmore Optimization Week - June 2 - 6, 2008 - Stuttgart, Germany

Summary  Problem Definition  Optimization Run  Morphing Capabilities  Conclusions DYNAmore Optimization Week - June 2 - 6, 2008 - Stuttgart, Germany slide 2

Problem definition Defining the model for the solver DYNAmore Optimization Week - June 2 - 6, 2008 - Stuttgart, Germany slide 3

Problem definition Objective function Constraints Design Variables Depth Thickness Hole Diameter Slope Slope DYNAmore Optimization Week - June 2 - 6, 2008 - Stuttgart, Germany slide 4

Problem definition Creating Morphing Boxes Original Boxes Symmetry Link Boxes DYNAmore Optimization Week - June 2 - 6, 2008 - Stuttgart, Germany slide 5

Problem definition Defining Morphing Parameters depth_middle depth_side slope DYNAmore Optimization Week - June 2 - 6, 2008 - Stuttgart, Germany slide 6

Problem definition Defining Morphing Parameters depth_middle depth_side DYNAmore Optimization Week - June 2 - 6, 2008 - Stuttgart, Germany slide 7

Problem definition Connecting Design Variables with user scripts  Open holes in FE-Model  Specify meshing parameters for the holes hole_diameter DYNAmore Optimization Week - June 2 - 6, 2008 - Stuttgart, Germany slide 8

Problem definition Connecting Design Variables with user scripts  Open holes in FE-Model  Specify meshing parameters for the holes one zone of elements DYNAmore Optimization Week - June 2 - 6, 2008 - Stuttgart, Germany slide 9

Problem definition Defining thickness as ANSA Parameter ANSA Parameter shell_thickness Design Variable DYNAmore Optimization Week - June 2 - 6, 2008 - Stuttgart, Germany slide 10

Problem definition Defining Task Manager sequence DYNAmore Optimization Week - June 2 - 6, 2008 - Stuttgart, Germany slide 11

Problem definition Connecting Design Variables with Morphing Parameters DYNAmore Optimization Week - June 2 - 6, 2008 - Stuttgart, Germany slide 12

Problem definition Connecting Design Variables with ANSA parameters DYNAmore Optimization Week - June 2 - 6, 2008 - Stuttgart, Germany slide 13

Problem definition Connecting user scripts to Design Variables DYNAmore Optimization Week - June 2 - 6, 2008 - Stuttgart, Germany slide 14

Problem definition Checking Model Validity 12 18 24 30 0 6 2.4 3.6 4.8 0 1.2 6.0 failed elements DYNAmore Optimization Week - June 2 - 6, 2008 - Stuttgart, Germany slide 15

Problem definition Improve model quality using scripts and session commands DYNAmore Optimization Week - June 2 - 6, 2008 - Stuttgart, Germany slide 16

Problem definition Output Design Variables $ DESIGN VARIABLES $--------------------------------------------------------------------------------------- $ ID | DESIGN VARIABLE NAME | TYPE | RANGE | CURRENT VALUE | MIN VALUE --> MAX VALUE | STEP $--------------------------------------------------------------------------------------- 1 DEPTH REAL BOUNDS 10. 0. 50. 2 SLOPE REAL BOUNDS 10. 0. 10. 3 HOLES DIAMETER REAL BOUNDS 0. 0. 20. 4 THICKNESS REAL LIST 1. 1. 1.2 1.4 $-------------------------------------------------------------------------------------- DYNAmore Optimization Week - June 2 - 6, 2008 - Stuttgart, Germany slide 17

Problem definition Connect ANSA to LS-OPT DYNAmore Optimization Week - June 2 - 6, 2008 - Stuttgart, Germany slide 18

Problem definition Connect ANSA to LS-OPT $ DESIGN VARIABLES $--------------------------------------------------------------------------------------- $ ID | DESIGN VARIABLE NAME | TYPE | RANGE | CURRENT VALUE | MIN VALUE --> MAX VALUE | STEP $--------------------------------------------------------------------------------------- 1 DEPTH REAL BOUNDS 10. 0. 50. 2 SLOPE REAL BOUNDS 10. 0. 10. 3 HOLES DIAMETER REAL BOUNDS 0. 0. 20. 4 THICKNESS REAL LIST 1. 1. 1.2 1.4 $-------------------------------------------------------------------------------------- DYNAmore Optimization Week - June 2 - 6, 2008 - Stuttgart, Germany slide 19

Optimization Run Modifying Design Variables Design Variables $ DESIGN VARIABLES $--------------------------------------------------------------------------------------- $ ID | DESIGN VARIABLE NAME | TYPE | RANGE | CURRENT VALUE | MIN VALUE --> MAX VALUE | STEP ANSA $--------------------------------------------------------------------------------------- 1 DEPTH REAL BOUNDS <<DEPTH>> 0. 50. 2 SLOPE REAL BOUNDS <<SLOPE>> 0. 10. 3 HOLES DIAMETER REAL BOUNDS <<HOLES_DIAMETER>> 0. 20. 4 THICKNESS REAL LIST <<THICKNESS>> 1. 1.2 1.4 $-------------------------------------------------------------------------------------- LS-DYNA LS-OPT LS-OPT Responses Objective Parameters depth DYNAmore Optimization Week - June 2 - 6, 2008 - Stuttgart, Germany slide 20

Optimization Run Runs the task manager sequence Output LSDYNA file and model report Design Variables ANSA LS-DYNA LS-OPT LS-OPT Responses Objective Parameters model_report.txt subframe.key DYNAmore Optimization Week - June 2 - 6, 2008 - Stuttgart, Germany slide 21

Optimization Run Invoke solver Design Variables subframe.key ANSA LS-DYNA LS-DYNA LS-OPT LS-OPT Responses LSDYNA output files Objective Parameters DYNAmore Optimization Week - June 2 - 6, 2008 - Stuttgart, Germany slide 22

Optimization Run Extract responses using LS-OPT functionality LS-DYNA Design Variables output files ANSA LS-DYNA LS-OPT LS-OPT Responses Max_stress.txt Objective Parameters DYNAmore Optimization Week - June 2 - 6, 2008 - Stuttgart, Germany slide 23

Optimization Run Calculate objective function and constraints Design Variables ANSA LS-DYNA LS-OPT LS-OPT Responses Objective Parameters DYNAmore Optimization Week - June 2 - 6, 2008 - Stuttgart, Germany slide 24

Optimization Run The optimization algorithm calculates new values for the design variables The process is repeated until the optimal solution is found Design Variables ANSA LS-DYNA LS-OPT LS-OPT Responses Optimal solution Objective Parameters DYNAmore Optimization Week - June 2 - 6, 2008 - Stuttgart, Germany slide 25

Morphing Capabilities Direct Morphing  Apply different algorithms of morphing  Define complicated shapes from basic geometry linear cubic p=0 cubic p=0.66 cubic p=1 DYNAmore Optimization Week - June 2 - 6, 2008 - Stuttgart, Germany slide 26

Morphing Capabilities Direct Morphing  Apply different algorithms of morphing  Define complicated shapes from basic geometry linear cubic (p=1) cubic (p=0) + + DYNAmore Optimization Week - June 2 - 6, 2008 - Stuttgart, Germany slide 27

Morphing Capabilities Deformation Morphing Parameter  Combining many morphing processes in one Parameter  Connect any morphing application to Task Manager Manual Morphing Edge fitting Initial shape Deformation Parameter Direct Morphing Deformed shape Morphing Parameters DYNAmore Optimization Week - June 2 - 6, 2008 - Stuttgart, Germany slide 28

Morphing Capabilities Deformation Morphing Parameter  Combining many morphing processes in one Parameter  Connect any morphing application to Task Manager Initial shape Deformed shape Parameter value = 0 0.2 0.4 0.6 0.8 1.0 DYNAmore Optimization Week - June 2 - 6, 2008 - Stuttgart, Germany slide 29

Creating Features  Creating simple features like ribs and beads using Direct Morphing  Modifying feature dimensions with Morphing Parameters Depth Width Length DYNAmore Optimization Week - June 2 - 6, 2008 - Stuttgart, Germany slide 30

Creating Features  Creating simple features like ribs and beads using Direct Morphing  Modifying feature dimensions with Morphing Parameters DYNAmore Optimization Week - June 2 - 6, 2008 - Stuttgart, Germany slide 31

Edge Fitting  Fitting FE-Model on different shapes using target curves  Handling the shaping with Morphing Parameters DYNAmore Optimization Week - June 2 - 6, 2008 - Stuttgart, Germany slide 32

Edge Fitting  Fitting FE-Model on different shapes using target curves  Handling the shaping with Morphing Parameters DYNAmore Optimization Week - June 2 - 6, 2008 - Stuttgart, Germany slide 33

Spotweld Optimization Spotweld optimization is possible through ANSA functionality As Design Variables can be set Connection parameters:  Spotweld distance  Number of spotwelds  Spotweld diameter Spotweld Distance: 50mm Spotweld Distance: 30mm Spotweld Diameter: 6mm Spotweld Diameter: 4mm DYNAmore Optimization Week - June 2 - 6, 2008 - Stuttgart, Germany slide 34

Spotweld Optimization Spotweld optimization is possible through ANSA functionality As Design Variables can be set :  Connection properties and materials  Application of different types of spotwelds to the Connections Type: NASTRAN CWELD Type: RBE3-HEXA-RBE3 DYNAmore Optimization Week - June 2 - 6, 2008 - Stuttgart, Germany slide 35