Webinar optislang & ANSYS Workbench. Dynardo GmbH

Transcription

1 Webinar optislang & ANSYS Workbench Dynardo GmbH 1

2 1. Introduction 2. Process Integration and variation studies 6. Signal Processing 5. ANSYS Mechanical APDL in optislang 3. optislang inside ANSYS 4. ANSYS Workbench node in optislang 2

3 Introduction 3

4 Excellence of optislang is an general purpose tool for variation analysis using CAE-based design sets (and/or data sets) for the purpose of sensitivity analysis design/data exploration calibration of virtual models to tests optimization of product performance quantification of product robustness and product reliability Robust Design Optimization (RDO) and Design for Six Sigma (DFSS) serves arbitrary CAX tools with support of process integration, process automation and workflow generation 4

5 Robust Design Optimization Optimization Sensitivity Analysis Single- & Multi-Objective (Pareto) Optimization Robust Design Variance-Based Robustness Evaluation Probability-Based Robustness Evaluation Start CAE process (FEM, CFD, MBD, Excel, Matlab, etc.) 5

6 optislang: Graphical User Interface Build, Run and Analyze your flow using Wizards Comfortable Drag&Drop Dialogs and Tables Postprocessing 6

7 Process Integration and variation studies 7

8 Process Integration Parametric model as base for User defined optimization (design) space Naturally given robustness (random) space Design variables Entities that define the design space Scattering variables Entities that define the robustness space The CAE process Generates the results according to the inputs Response variables Outputs from the system 8

9 optislang Integrations Direct integrations ANSYS Workbench Matlab Excel Python SimulationX Supported connections Ansys APDL Abaqus Adams AMESim Arbitary connection of ASCII file based solvers 9

10 Metamodel of Optimal Prognosis (MOP) A fully automatic workflow identifies the subspace of important parameter with the best possible meta-model (MOP) of every response variable resulting in the best possible forecast quality towards result variation Include multi-dimensional nonlinear dependencies with automatic identification + ranking of important input variables MOP Solves 3 Important Tasks: 1st Best Input Variable Subspace 2nd Best Meta-model 3rd Estimation of Prediction Quality DoE MOP Solver 10

11 Optimization on MOP Requires only one solver run to verify the optima from the MOP Save time to market Improve product performance MOP Surface from Sensitivity Input Values for Best Design 11

12 Optimization of a Hook How to change the hook, so that The v.-mises stress will not exceed 200MPa The mass will be as minimal as possible and Certain geometry parameters will be in predefined bounds? 12

13 The Design Parameters A Outer_Diameter mm B Connection_Length mm C Opening_Angle D Upper_Blend_Radius mm E Lower_Blend_Radius mm F Connection_Angle G Lower_Radius mm H Fillet_Radius 2-4 mm I Thickness mm Depth mm Questions 13

14 optislang for ANSYS 3 ways to integrate ANSYS and optislang for parametric studies optislang inside ANSYS - Integration of optislang into ANSYS Workbench ANSYS Workbench node in optislang - Integration of ANSYS Workbench Parameter Set into optislang ANSYS Mechanical APDL in optislang Text Input Script Text Output Text Input Solver Call Result Extraction Batch Script (optional) + 14

15 optislang inside ANSYS 15

16 optislang inside ANSYS optislang modules Sensitivity + MOP, Optimization and Robustness are directly available in ANSYS Workbench Fully parametric 16

17 optislang inside ANSYS Sensitivity Module: Definition of parameter variation with lower and upper bound and continuous or discrete 17

18 optislang inside ANSYS Sensitivity Module: The Metamodel of Optimal Prognosis (MOP) is automatically created from the DoE-Sampling. Additionally, censoring of outliers is supported via post-processing. 18

19 optislang inside ANSYS Optimization using MOP After sensitivity, optimization using the Metamodel is supported. Minimum required user input: Drag the optimization module onto MOP Define objective and constraints Optima which are based on metamodels need to be verified! Proof optima: Automatic verification with real ANSYS call Check differences in postprocessing 19

20 optislang inside ANSYS Optimization with Real Solver Calls After Sensitivity and Optimization on MOP, the user can continue with gradient-based, NOAbased or ARSM optimization. Minimum required user input: define objectives and constraints choose optimizer, assisted by wizard For all algorithms, robust default settings are provided. NOA - Nature inspired optimization contains: evolutionary, genetic, particle swarm optimization Questions ARSM Adaptive Response Surface Method 20

21 ANSYS Workbench node in optislang 21

22 The Workbench Node The workbench node directly connects to the workbench project and gets the inputs and outputs from the parameter set A connections to a local project on the same workstation or to a project at a distributed workstation in the same network is possible Local projects could be already open or started from optislang to get the necessary parameters 22

23 The Workbench Node The workbench node directly connects to the workbench project and gets the inputs and outputs from the parameter set 23

24 The Workbench Node Batch mode (w/ or w/o GUI): Open a closed project in batch mode and connect to it (A) Every design gets a new clean WB project (group of designs are possible) Initial WB (B) project stays untouched (using a working copy #files#, which is located in the design directory) Possibility to use a python script (C) to update the ANSYS Workbench project (B) (C) (A) 24

25 The Workbench Node Save project files: Save DPs as project (A) in WB Node (save the whole project) or select files (B) in ANSYS Workbench, if you want to save only a few files (C) (B) (C) (A) 25

26 The Workbench Node Provides the flexibility to extend the process chain 26

27 The Workbench Node Advantage of the ANSYS Workbench Node: User can choose which Parameter and Responses from the Workbench should be used for the Parameter Study in optislang New Parameters can easily added an configured in the working system (Parameter Tab dependent, conditional, ) A following Signal Processing (ETK node) can extract and calculate all inputs and responses The ANSYS Workbench can be coupled with different other solvers like MATLAB, SimulationX or Abaqus External geometry or mesh generators can work together with the ANSYS Workbench node Reliability-based robustness analysis to quantifies product risks are usable with the ANSYS Workbench node Reevaluation of already calculated designs is possible (supported by a Reevaluation Wizard ) 27

28 ANSYS Mechanical APDL in optislang 28

29 ASCII Input ASCII Output Auto-parametrization of numerical expressions Automatic name assignment for inputs possible Define markers Incremental read of response ASCII input file ASCII output file 29

30 Batch Solver Call Performing a single solver or script call Timeout and parallel batch call is possible Additional input files and environmental variables can be specified 30

31 optislang for ANSYS Product bundle containing optislang inside ANSYS Workbench optislang including WB node Use same dialogs, same algorithms, same post processing Wizard driven set up of analysis Algorithms with proven default settings Minimization of necessary user input to design/robustness space, constraints and objectives Maximize the outcome/benefits of parametric studies with the help of Wizards, best practice algorithms and the Metamodel of Optimal Prognosis (MoP) 31

32 Signal Processing 32

33 Signals in optislang Signals are vector outputs having an abscissa (e.g. time axis) and several output channels (e.g. displacements, velocities) Signal functions enables the user to extract local and statistical quantities and to analyze differences between several signals Match signal data (curves) with Signal Processing 33

34 Signal Processing Definition of Signals The ETK node enables the definition of several solver and reference signals Reads many CAE binary output formats and text files Can read signals, vectors and matrices Instant visualization of vectors and signals 34

35 Training Program 35

36 Training optislang Basics 3 day introduction to process integration (ASCII, Matlab, Excel, Python), sensitivity, optimization, calibration and robustness analysis optislang inside ANSYS Workbench 2 day introduction seminar to parameterization in ANSYS Workbench and sensitivity analysis and optimization via optislang inside ANSYS WB optislang and ANSYS Workbench 1 day introduction to the integration of ANSYS Workbench projects in a optislang solver chain, parameterization of signals via APDL output optislang Update 1 day update seminar introducing process integration and automation with optislang 36

37 Thank you For more information please visit our homepage: 37