Design Exploration and Robust Design. Judd Kaiser Product Manager, ANSYS Workbench Platform

Transcription

1 Design Exploration and Robust Design Judd Kaiser Product Manager, ANSYS Workbench Platform 1

2 Agenda 2 What is Robust Design? At ANSYS Workbench Principles DesignXplorer ANSYS Vision

3 What is Robust Design? 3

4 The Path to Robust Design?? Output distribution? Provides design Solutions Solutions may understanding, compared, but Doesn t provide Input be too sensitive Doesn t account but optimization design is notfor well direction distribution to input for physics is not and understood design variability interactions automated no optimum is improvement found in d n Robust Design g, a t s r e d n u I g O in, R s What if a n e o r a ti Study c n I v o Multiphysics Parametric n Platform in Solution Single Physics Solution 4 Integration Platform Accuracy, robustness, speed Probabilistic Algorithms Adjoint solver methods Optimization Algorithms Design Exploration DOE, Response Surfaces, Correlation, Sensitivity, etc.

5 ANSYS Vision ANSYS Has a very clear vision for Simulation Driven Product Development! 5 Best-in-class solvers combined for multiphysics Ease of use, knowledge capture, integration platform Parametric, persistent, automated Design exploration & robust design!

6 Design Exploration and Robust Design at ANSYS 6

7 Optimization tools at ANSYS ANSYS DesignXplorer Unified Workbench solution ANSYS Fluent Has built-in morphing and optimization tools Has an adjoint solver ANSOFT Optimetrics ANSYS MAPDL DX VT And more 7 Baseline Design Optimized Design

8 ANSYS DesignXplorer Integral with Workbench Parametric multiphysics modeling with automated updates Bi-directional CAD, RSM, scripting, reporting and more... 8

9 Optimization Partners ANSYS simulation software has been effectively used to drive innovation in concert with optimization partners 9 MATLAB (Mathworks) ModeFrontier (Esteco) OptiSLang (Dynardo) RBF-Morph Sculptor (Optimal) Sigma Technology (IOSO) TOSCA (FE-DESIGN) Qfin (Qfinsoft) and more

10 Workbench Principles (It s built for SDPD) 10

11 ANSYS Workbench Schematic Workflow 11

12 Workbench Integrates ANSYS tools and solvers Parametric, persistent and scriptable environment 12

13 DesignXplorer in Workbench (It s built for SDPD) 13

14 ANSYS DesignXplorer DesignXplorer is everything under this Parameter bar Low cost & easy to use! It drives Workbench Improves the ROI! C Con AD ne c t i on s& DM EKM & ANSYS C Workbench HP Solvers DX 14

15 ANSYS DesignXplorer Design of Experiments With little more effort than for a single run, you can use DesignXplorer to create a DOE and run many variations. 15

16 Correlation Matrix Understand how your parameters are correlated/influenced by other parameters! 16

17 Sensitivity Understand which parameters your design is most sensitive to! 17

18 Response Surface Understand the sensitivities of the output parameters (results) wrt the input parameters. 18 3D Response 2D Slices Response

19 Goal-Driven Optimization Use an optimization algorithm or screening to understand tradeoffs or discover optimal design candidates! 19

20 Robustness Evaluation Input parameters have variation! Output paramet ers vary also! How will your performance vary with your design tolerances? 20 How many parts will likely fail? Make sure your design is robust! Six Sigma, TQM Which inputs require the greatest control?

21 ANSYS DesignXplorer Initial vs. Optimized Design Output 21 Initial Design Optimized Tt Ratio pt Ratio η [%] Power [MW]

22 DesignXplorer Vision (It s built for SDPD) Disclaimer: plans for future releases are preliminary, and subject to change. 22

23 Remove the Road Blocks Engineers face numerous obstacles that prevent them from using optimization fully Our plans are largely based on removing those obstacles so our customers can get more out of simulation Main obstacles to Optimization Too Much Time Do you use optimization software? Parametric Model Resouces Integration Issues Parameter Information Baseline Model Lin Su ked rve in y, Q Faith in Results Algorithms Other Understanding Results Design not Suitable 0% 23 5% 10% 15% 20% 25% 30% 35% 40% 41.9% 18.6% Matlab 45% 21.8% 16%

24 Running all those design points takes toothe long! Many ways to reduce time requirements Speedup of individual components Speedup between design points n DOE Sorting at 14.0 Mesh morphing Reduce the number of design points required 24 Resolutio Geometry import, meshing, solve, etc. w/ fewer points Improved Sparse Grid DOE at 14.0 New Auto-Kriging at 14.0 New KMOGA adaptive optimization coming at 14.5 Researching ways to use Adjoint information or ROM to dramatically reduce the number of solves required HPC to distribute the solve R1 4 Dynamic convergen ce feedback

25 Removing Roadblocks Easier to build a parametric model Pervasive Parameters across WB Manufacturable values, R14 Extend discrete parameters, R15 Material selection, Booleans, string parameters, etc. System Level Modeling, ROM, RS Systems, etc. Easier to connect various tools together Workbench + External Connection + SDK ANSYS ICEM CFD Meshing at R14.5 Extend the External Connection Easier access to resources Hardware Cloud computing ANSYS, Inc Software Licensing 25 R1 4

26 Algorithms ~1/3rd of Engineers would prefer to use their own algorithms for Optimization Opening up our Optimization Platform (R15) 26 Matlab optimization toolbox API for customized optimization algorithms Flexible process with custom cost functions and convergence criteria This flexibility will be in addition to our out of the box functionality designed to please the other 2/3rds. R1 5

27 Charting & ReportingR1 New Charts Added 2D slices, local sensitivity curves and convergence plots; R14 Significant enhancements Unified Reporting planned Auto-generate project level reports, R14 Strategic theme for R R1 4

28 Robust Design Strategic Theme Already available Six Sigma analysis Sensitivity / Determination R1 Research and future development 2 Probabilistic optimization Adjoint methods High sensitivity Shape on Downforce High sensitivity changes to shape have a big effect on drag Low sensitivity 28 R1 4

29 The Path to Robust Design Build on the solid foundation of Workbench as a platform for parametric simulation Develop DX as an optimization platform Build up to probabilistic Optimization optimization Design Exploration What if Study Multiphysics Single Physics 29 Robust Design

30 Thank You Join Simon s DesignXplorer user group on Linked-In Search Groups for DesignXplorer to join. 30