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| HEEDS Software > Product Description > Design of Experiments |
| Questions: |
Which design variables affect my design the most? |
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How do I relate my design variables to the response of my system?
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| Answer: |
Perform a HEEDS Design of Experiments (DOE) study. |
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When understanding your design space is important, a HEEDS DOE study is often the ideal approach to extract a great deal of useful information with as little computational or experimental effort as possible. By ranking the importance of your design variables for critical system responses, a DOE study can help you focus your limited resources on controlling those variables that affect your design the most. Those variables that are not important can then be ignored or set to values that are most convenient or least costly.
By applying advanced interpolation procedures, the results of a DOE sampling process can also be used to generate an approximate model of your system. This is often called a response surface model (RSM) or a surrogate model. These models are very convenient for visualizing your design space and for quickly evaluating different designs without performing additional expensive CAE evaluations or experiments.
In a CAE-based DOE study, your CAE model is evaluated multiple times with the design variables set to different values in each run. These variable values depend on the DOE model you selected. The entire process is automatic, requiring only a few minutes to define the problem. DOE studies based on physical experiments are performed in a similar manner, except that a physical experiment replaces each CAE run.
HEEDS offers a broad range of DOE sampling methods and post-processing features, including response surface models. If you are not an expert at DOE, then HEEDS’ unique DOE wizard will guide you through the definition of your problem, ensuring that you obtain the information you seek.
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Red Cedar Technology • 4572 S. Hagadorn • Suite 3-A • East Lansing, Michigan USA 48823
Phone: 517.664.1137 • FAX: 517.664.1175 • info@redcedartech.com
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