Integrating Experimental Crystallization Kinetics into Autodesk Moldflow: Validation and Crystallinity Prediction for iPP and POM
Vito Speranza, Valentina Volpe, Rita Salomone, Roberto Pantani
TL;DR
This paper shows how to improve predictions of plastic part properties by integrating real crystallization data into a simulation tool.
Contribution
Two new methods are introduced to incorporate experimental crystallization data into Moldflow for better prediction accuracy.
Findings
The methods successfully predict crystallinity evolution for iPP and POM.
Measured spherulite diameters match simulation results.
Flow-induced nucleation terms were tuned to improve accuracy.
Abstract
An accurate prediction of the final properties of injection-molded semi-crystalline parts requires models that capture crystallization kinetics during processing. This work presents two practical strategies to incorporate experimentally derived crystallization behaviors into Autodesk Moldflow, addressing cases where kinetics differ from the software’s native Avrami–Hoffman–Lauritzen formulation. We apply these methods to isotactic polypropylene (iPP T30G) displaying heterogeneous nucleation with a low-temperature plateau, and to polyoxymethylene (POM) exhibiting combined heterogeneous and homogeneous nucleation. The parameters for Moldflow were obtained by matching isothermal half-crystallization times (t0.5) and by tuning flow-induced nucleation terms. Validation against isothermal and non-isothermal injection tests shows agreement between calculated and expected crystallinity…
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Taxonomy
TopicsPolymer crystallization and properties · Injection Molding Process and Properties · Polymer Foaming and Composites