The method to efficient optimization: Design of Experiment (DOE)
16. Feb 2022

The method to efficient optimization: Design of Experiment (DOE)


Various process parameters and other factors influence the quality of the final part during injection molding. The Moldex3D ‘Design of Experiment (DOE)’ module offers its users an efficient way to evaluate different settings for parameters and thus enables to find the optimal settings for an improved part with little effort.

The new Moldex3D DOE wizard offers further control factors beyond the already existing ones (such as the filling or packing pressure time). These extended elements, for example, offer the possibility to vary the mesh or the material, so that the quality factors can now be optimized due to having even more setting options. Additionally, to injection molding this DOE method can also be used for other processes, for example IC encapsulation. s

In order to apply the DOE method a so-called basic run must be created at the beginning, including all settings such as model, material, process, analysis sequence and calculation parameters. Once this basic run has been performed the DOE wizard can be opened and the control and quality elements can be set. Control factors describe the parameters to be optimized, which vary with associated values. Quality factors define the goals of the optimization, for example, a uniform packing pressure or a maximum deformation. Several quality factors can be set and weighted.
Having set all the desired elements, the DOE calculation can be started and Moldex3D calculates all combinations and then creates an assessment of the different parameters and their effect on the final result.

To find out more about what Moldex3D DOE has to offer please contact us at: + 49 (0)241-565 276-0 or send an email to:

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