Design-of-Experiments (DOE) is a statistical tool which enables you to see the effect of some intervention, for example changing an experimental processing variable, on the quality of the part. It can also tell you which processing conditions have the greatest impact on a given quality indicator, by running a series of experiments while varying selected processing conditions, and then calculating the results based on user-defined quality indicators.
The benefit of DOE is that a significantly greater volume of high-quality information can be obtained from the resulting pattern of test data, than from more conventional trial-and-error experimenting. In general, a DOE analysis can be run at anytime during the design phase. However, it is probably best utilized after the material and gate location have been selected, and you have performed an initial analysis.
This is done to optimize a wide selection of (single point) quality indicators, including:
DOE analysis is supported by Midplane, Dual Domain and 3D mesh types, and is available for all molding process.