Design Exploration and Robust Design using ANSYS DesignXplorer
Design Exploration and Robust Design using ANSYS DesignXplorer
Design Exploration and Robust Design using ANSYS DesignXplorer
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<strong>Design</strong> <strong>Exploration</strong> <strong>and</strong> <strong>Robust</strong><br />
<strong>Design</strong> <strong>using</strong> <strong>ANSYS</strong> <strong>Design</strong>Xplorer
Doesn’t account for<br />
physics interactions<br />
Single Simulation<br />
• Single Solve<br />
– Solves a single simulation with<br />
only a single physics<br />
– Engineers are interested in<br />
solution robustness, speed,<br />
accuracy, ease of use <strong>and</strong><br />
engineering results<br />
“Virtual Prototyping” typically requires looking<br />
at multiple physics, This single physics<br />
approach is often not enough.
Single Multiphysics Solve<br />
– Solves a single simulation<br />
involving multiple physics<br />
– Engineers are still interested in<br />
solution robustness, speed,<br />
accuracy, ease of use <strong>and</strong><br />
engineering results<br />
Doesn’t provide<br />
direction for design<br />
engineering results<br />
improvement<br />
– And the ease <strong>and</strong> power of the<br />
physics coupling<br />
How can I improve performance?<br />
Can I reduce weight or cost?<br />
What is limiting performance?<br />
Is this a robust design?
?<br />
?<br />
?<br />
Solutions compared,<br />
but design is not well<br />
understood <strong>and</strong> no<br />
optimum is found<br />
“What If” Study<br />
• User adjusts inputs <strong>and</strong> investigates<br />
results<br />
• Builds on previous expectations,<br />
adds requirement of easy <strong>and</strong> robust<br />
parametric updates <strong>and</strong> comparative<br />
reports<br />
Need a more scientific <strong>and</strong> automated way to<br />
decide which points to solve<br />
Need a way to interpolate between these points
Response<br />
Surface<br />
Provides design<br />
underst<strong>and</strong>ing, But ….<br />
<strong>Design</strong> <strong>Exploration</strong><br />
• Scientific methods to explore the<br />
design space fully<br />
• Allows user for: sensitivity <strong>and</strong><br />
correlation, DOE <strong>and</strong> response surface<br />
technology, mesh morphing, charting<br />
<strong>and</strong> reporting<br />
• For complex solutions, user can take<br />
advantage of robust efficient &<br />
affordable <strong>ANSYS</strong> distributed solver<br />
Technologies.<br />
Optimize a design with selected inputs <strong>and</strong> goals
Solutions may be too<br />
sensitive to input<br />
variability<br />
Arriving at a set of Optimal<br />
design solutions<br />
• Optimization<br />
– Searches the design space for<br />
optimal c<strong>and</strong>idates, given userdefined<br />
goals <strong>and</strong> priorities<br />
– Adds requirements for: advanced<br />
optimization algorithms to<br />
efficiently search for c<strong>and</strong>idates,<br />
comparative reporting<br />
Real-world inputs typically have some variation<br />
<strong>and</strong> may require a more “robust design” goal
<strong>Robust</strong> <strong>Design</strong><br />
• Taking the variation of inputs into account, <strong>and</strong><br />
seeking a design with a probabilistic goal<br />
Input<br />
distribution<br />
Output<br />
distribution<br />
• RDO => Min st<strong>and</strong>ard deviation of the results<br />
• Six Sigma => Optimal design within a safe domain<br />
• In order to arrive at <strong>Robust</strong> design, User needs to<br />
- Specify probabilistic parameters<br />
- Use probabilistic optimization algorithms<br />
<strong>Robust</strong> <strong>Design</strong> optimizes design variables to achieve a<br />
particular probabilistic level such as Six Sigma, which<br />
translates into 3.4 failures in one million parts.
The Path to <strong>Robust</strong> <strong>Design</strong><br />
Single Physics<br />
Solution<br />
•Accuracy,<br />
robustness, speed…<br />
Multiphysics<br />
Solution<br />
•Integration<br />
Platform<br />
“What if”<br />
Study<br />
•Parametric<br />
Platform<br />
<strong>Design</strong> <strong>Exploration</strong><br />
•DOE, Response<br />
Surfaces, Correlation,<br />
Sensitivity, etc.<br />
Optimization<br />
•Algorithms<br />
<strong>Robust</strong> <strong>Design</strong><br />
•Probabilistic<br />
Algorithms<br />
•Adjoint solver<br />
methods
<strong>Design</strong> <strong>Exploration</strong> <strong>and</strong><br />
<strong>Robust</strong> <strong>Design</strong> at <strong>ANSYS</strong>
Optimization tools at <strong>ANSYS</strong><br />
– <strong>ANSYS</strong> <strong>Design</strong>Xplorer<br />
• Unified Workbench<br />
solution<br />
– <strong>ANSYS</strong> Fluent<br />
• Has built-in morphing <strong>and</strong><br />
optimization tools<br />
• Has an adjoint solver<br />
– <strong>ANSYS</strong> MAPDL<br />
• DX VT<br />
– And more<br />
Baseline <strong>Design</strong><br />
Optimized <strong>Design</strong>
<strong>ANSYS</strong> <strong>Design</strong>Xplorer<br />
Integral with Workbench<br />
• Parametric multiphysics<br />
modeling with automated<br />
updates<br />
• Bi-directional CAD, RSM,<br />
scripting, reporting <strong>and</strong><br />
more...
<strong>Design</strong>Xplorer in Workbench
<strong>ANSYS</strong> <strong>Design</strong>Xplorer<br />
<strong>Design</strong>Xplorer is everything<br />
under this Parameter bar…<br />
• Low cost & easy to use!<br />
• It drives Workbench<br />
• Improves the ROI!<br />
DX<br />
<strong>ANSYS</strong><br />
Workbench<br />
Solvers
<strong>ANSYS</strong> <strong>Design</strong>Xplorer <strong>Design</strong> of<br />
Experiments<br />
With little more effort than for a single<br />
run, you can use <strong>Design</strong>Xplorer to<br />
create a DOE <strong>and</strong> run many variations.
Correlation Matrix<br />
Underst<strong>and</strong> how your parameters are<br />
correlated/influenced by other parameters!
Sensitivity<br />
Underst<strong>and</strong> which<br />
parameters your<br />
design is most<br />
sensitive to!
Response Surface<br />
Underst<strong>and</strong> the<br />
sensitivities of the output<br />
parameters (results) wrt<br />
the input parameters.<br />
3D Response<br />
2D Slices Response
Goal-Driven Optimization<br />
Use an optimization algorithm<br />
or screening to underst<strong>and</strong><br />
tradeoffs or discover optimal<br />
design c<strong>and</strong>idates!
Output<br />
parameters<br />
vary also!<br />
<strong>Robust</strong>ness Evaluation<br />
Input parameters have variation!<br />
Underst<strong>and</strong> how your<br />
performance will vary<br />
with your design<br />
tolerances?<br />
Predict how<br />
many parts will<br />
likely fail?<br />
Make sure your<br />
design is robust!<br />
Six Sigma, TQM<br />
Underst<strong>and</strong> which<br />
inputs require the<br />
greatest control?
Challenges<br />
• Engineers face numerous obstacles that prevent them from <strong>using</strong><br />
optimization fully<br />
• Our plans are largely based on removing those obstacles so our<br />
customers can get more out of simulation<br />
41.9%<br />
21.8%<br />
Do you use optimization<br />
software?<br />
18.6%<br />
Matlab<br />
16%
The Path to <strong>Robust</strong> <strong>Design</strong><br />
• Build on the solid foundation of Workbench as<br />
a platform for parametric simulation<br />
• Develop DX as an optimization platform<br />
• Build up to probabilistic optimization<br />
Single Physics<br />
Multiphysics<br />
“What if” Study<br />
Optimization<br />
<strong>Design</strong> <strong>Exploration</strong><br />
<strong>Robust</strong> <strong>Design</strong>
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