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Generative Design

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Generative Design

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    1. Generative Design Michael Y. Wang The Chinese University of Hong Kong Xian Jiaotong University Infedium Technology Ltd. 15 August 2012

    2. Design of Mechanical Components Based in a CAD Environment 8/15/2012 2

    3. Conceptual Synthesis and Optimal Design 8/15/2012 3

    4. Triple Convergence 8/15/2012 4

    5. Design Technologies

    6. 8/15/2012 6

    7. Altair OptiStruct Airplane Passenger Door Support Arm Door Support Arm Mass Savings: 20% 8/15/2012 7

    8. Triple Convergence CAD B-rep & CSG Modeling PLM CAE Meshing Efficient Analysis OPT (Optimization) Performance Functions Constraints 8/15/2012 8

    9. Generative Design Form Follows Function Function Drives Design Design Problem Nature: Solution Methodology: 8/15/2012 9

    10. Generative Technology System Function: Performance Specifications Design Objectives Design Conditions (over domain): Spatial (e.g., foot-print) Material (e.g., light-weight) Loads Geometric Constraints (form): Geometric/Form Primitives Manufacturing/Assembly Behavior Constraints: Motions Kinematics 8/15/2012 10

    11. Challenges CAD Legacy Parametric modeling (e.g., PTC & SolidWorks) History-based models Constructive modeling Static, central, and rigid FEM Legacy Meshing and re-meshing Model cleaning and de-featuring Detailed & accurate analysis Optimization Legacy Parametric optimization FEM-based topology optimization Lack of shape and geometry framework 8/15/2012 11

    12. Key Enabling Technologies TODAY: Flexible CAD Modeling/Analysis Tools History-Free: Direct Modeling SpaceClaim, CoCreate, NX 5 (Synchronous Technology), Catia V6, Inventor Fusion CAD/Analysis Integration (Bi-directional Interfaces) SpaceClaim/ANSYS, Catia ISIGHT Structure, Inventor Fusion /Algor, SolidWorks/COSMOS Solid Representations with Topological Flexibility Level Set Model Naturally Linked to CAD CSG Models Versatile FEM Meshing and Analysis Techniques Adaptive Meshing X-FEM Distance Functions (R-functions) Scalable and Reconfigurable Topology Optimization with Shape Sensitivities Parametric Sensitivity Shape, Topological, and Feature Sensitivities 8/15/2012 12

    13. Implicit Model: Level-Set Model Level-set is a systematic method to track an interface motion by changing the surface ?(x,t) 8/15/2012 13

    14. Level Set Dynamics & Numerics 8/15/2012 14

    15. 8/15/2012 15

    18. Example: Micro-Gripper 8/15/2012 18

    22. Generative Design 8/15/2012 22

    23. Working with Modeling Systems 8/15/2012 23

    24. Generative Design a simple illustration Cantilever Beam 8/15/2012 24

    25. Ab-Initio Design Initial Choice (multiple square holes) 8/15/2012 25

    26. Generative Design Optimal Design with Line Geometry 8/15/2012 26

    27. Generative Design Another design (with analysis result) 8/15/2012 27

    28. P. Duysinx, University of Liege, Belgium, WCSMO8-2009 CSG - Level Set Implementation

    29. Optimization with multi-cut P. Duysinx, University of Liege, Belgium, WCSMO8-2009

    30. Generative Design 8/15/2012 30

    31. Parametric CAD model

    32. Cecil Armstrong (Queen’s University, UK, WCSMO8-2009)

    33. Cecil Armstrong (Queen’s University, UK, WCSMO8-2009) A small parameter change can lead to a change in the topology of the model A small parameter change to the left hand model resulted in two new faces appearing Associations between elements and geometry are no longer accurate in these regionsA small parameter change can lead to a change in the topology of the model A small parameter change to the left hand model resulted in two new faces appearing Associations between elements and geometry are no longer accurate in these regions

    34. Cecil Armstrong (Queen’s University, UK, WCSMO8-2009) Parameter change leads to ID labels in the model changing Entities associated with one face become associated with the wrong faceParameter change leads to ID labels in the model changing Entities associated with one face become associated with the wrong face

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