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Posted By: | John Jenkins |
Date: | Tue, 3 Nov 2009, 6:55 p.m. |
CAE Webinar - Setting up Multi-Objective Problems to achieve a Robust Design
Wednesday, November 11, 11AM to 12PM, Eastern Time/US
Normally when you optimize you have a few shape parameters, a single performance indicator and you proceed to minimize or maximize performance by varying parameters. But what if you have more than one performance indicator and your multiple performance indicators can’t be combined to a single goal? Perhaps you can’t combine them because there is no expression or model that combines them. Perhaps you can get a more effective design by considering the elements that constitute overall performance separately rather than reducing to a single measure. How do you proceed?
Join us for a live demonstration by Rob Lewis, Ph.D., Manager of TotalSim UK, (www.totalsim.co.uk) a UK based CFD/Aero consultancy:
- How to use Design of Experiments (DOE) for two or more performance measures
- How to create Meta Models or surrogates for the performance responses: Radial Basis Functions; Kriging; Polynomials
- The value of Trade-off Plots
- Performance/Performance Plots (and tools)
- What is Design Robustness, and different ways to achieve it
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