It’s the classic “garbage in, garbage out” (GIGO) scenario. The pictures generated from those results will look very nice, but they will likely be wrong. Any uncertainty in the quality of the data generated during material characterization will lead to uncertain results. It discusses material data required for Autodesk Simulation Moldflow Insight (ASMI), the most commonly used simulation software.ĭepending on what type of simulation is being done, there could be up to 10 sets of material properties needed to fully characterize a plastic material for analysis purposes. Additionally, particular attention must be paid to the material properties, which is the focus of this article. For injection molding simulation, the part and mold geometry and the processing conditions must all be modeled properly. A skilled, experienced analyst will be able to evaluate those inputs to get the most out of the analysis. GIGO Rule AppliesĪny good simulation model depends on good inputs on several fronts. those in injection molding are orders of magnitude different. The viscosity levels for the shear rates in the MFI range vs. This graph shows curves for two different 20 MFI materials at the same range of temperatures. 1 MFI can be a poor predictor of how material will flow.
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