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DOE to the Rescue

Design of experiements and Monte Carlo approach make short work of CFD

Gorur N. Sridhar
Thu, 06/07/2012 - 13:39
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Story update 6/18/2012: A couple of confusing references to Taguchi methods were removed.

During new product development, computational fluid dynamics (CFD) is often used in the design stage to simulate such things as the effect of air flow on cooling. The problem with CFD is that it can take a long time to find the solution due to the number of iterations that must be performed.

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Since the architecture of the CFD software is based on solving the field equations, the time needed to complete a CFD run depends on the degree of convergence, or accuracy, expected. Long run times can tremendously increase the cost and the turnaround time of a project, an important aspect to consider when you are in a war to beat the competition.

An alternative to using CFD alone is to cut down on the number of iterations by using design-of-experiments (DOE) to preselect runs that you know are going to yield results close to what you are looking for. This reduces simulation bottlenecks, thus increasing productivity and efficiency while maintaining the required accuracy levels. The number of runs can be further refined and optimized using the Monte Carlo approach.

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Comments

Submitted by MikeWhitePE on Tue, 06/12/2012 - 14:53

DOE to the Rescue article

Nice example combining simulation with factorial (one-half fractional) DOE.  Just one small point, though.  The array format was conventional factorial DOE, not Taguchi's.  Also, a question: was variation relative to the mean considered (e.g., with the signal-to-noise ratio from Dr. Taguchi that considers this)?  A very good study, but perhaps there might have been some effectiveness improvement with use of Parameter Design and a follow-up DOE on the preferred levels of the more critical control factors.  These comments aren't intended to be critical, just some points and suggestions.

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Submitted by TGSMC on Tue, 06/12/2012 - 23:38

In reply to DOE to the Rescue article by MikeWhitePE

DoE

Agree with Mike - i did not see application of Taguchi's arrays or S/N ratio analysis in this article . A good article nevertheless

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Submitted by Gorur N. Sridhar on Mon, 06/18/2012 - 07:44

In reply to DoE by TGSMC

DOE to the Rescue

Hi TGSMC & Mike, Thank you for your comments on the article. Yes, as pointed by you, the study was limited to the DOE and not extended to the Taguchi's concepts. Even though extrapolating the study further to using Taguchi’s concepts would have yielded similar near convergent results the same was not carried out due to time constraints and I am sure carrying out the same would be quiet interesting.
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