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Feature to setup multiple studies at once

Feature to setup multiple studies at once

Could a feature be added to be able to setup multiple studies to be run at once?  Something similar to a parametric, but useful if you just want to try out multiple values of a single variable.  Parametric study does not have as many variables as options to be selected, so this could not be used in place of this feature.

1 Comment
Anonymous
Not applicable

This started as a support case with Justin.  Some background is provided below:

 

Regarding DOE functionality in general, I noticed that the available variables are different for Parametric vs DOE analyses, which surprised me because I expected the available variables to be the same.

 

I am often performing single variable analyses.  In particular, common problems are injection pressure as a function of ram speed; and clamp force as a function of packing pressure.  Neither of these solver inputs are available as variables in Parametric, but they are in DOE.  Realistically, it is important for me to run packing pressures at 10, 20, 30, 40, 50, 60, 70, 80, and 90% of machine maximum.

 

DOE single variable is a good tool, but you have to remember that even though multiple datapoints are shown in the DOE plots that they are only values of the 2nd order polynomial curve fit, which is created using the endpoints and the midpoint (FCC).  For the clamp vs pressure problem, using a DOE single variable at 10, 40, 70% (for example) starts to diverge for the wide range of inputs and the 2nd order polynomial curve fit, so a Parametric option (with the ability to specify more than 3 datapoints per variable) would be better (even though the analyses take longer).  In this attached image, black is the true behaviour (and red is the 2nd order polynomial fit for 3 datapoints).  If you run DOE single variable, you get the red curve.

 

Comparison of DOE single variable analysis and polynomial bestfit (red line) vs the true behaviour if you run 9 separate analyses.Comparison of DOE single variable analysis and polynomial bestfit (red line) vs the true behaviour if you run 9 separate analyses.

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