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Improvement of warpage prediction through integrative simulation approach for thermoplastic material.
- Source :
-
Journal of Thermoplastic Composite Materials . Sep2022, Vol. 35 Issue 9, p1231-1248. 18p. - Publication Year :
- 2022
-
Abstract
- In the injection-molded parts, prediction of accurate warpage at initial level becomes mandatory to avoid iterative work of mold modifications. Simulation teams of many organizations are using existing commercial programs for process simulations. Material models in existing simulation technologies are having certain limitations and assumptions, which can regularly result in up to 50% variation of warpage results as compared to the actual physical warpage measurement. The commonly used Moldflow simulation model, for example, ignores temperature-dependent mechanical properties and the stress relaxation spectrum for viscoelastic materials. These assumptions affect the accuracy of the warpage prediction results significantly. To decrease these kinds of variations, BASF extended its Ultrasim® tool which is based on integrative simulation technology. Recently, a newly developed thermomechanical material model with temperature-dependent nonlinear mechanical properties and stress relaxation behavior was added in the Ultrasim. This model has been used in this work to consider the complete transient description of the warpage, which starts at packing phase of the part inside the mold, followed by actual cooling and ejection. In this article, unreinforced semicrystalline polybutylene terephthalate polymer material (Ultradur® B4520) is considered for warpage correlational study. The accuracy of the warpage prediction is compared between the integrative simulation approach, existing warpage simulation method, and the actual experimental inspection results. The result exhibits that the accuracy of the integrative simulation (Ultrasim)-based warpage simulation is relatively better than existing simulation technologies and closer to the actual measurement. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 08927057
- Volume :
- 35
- Issue :
- 9
- Database :
- Academic Search Index
- Journal :
- Journal of Thermoplastic Composite Materials
- Publication Type :
- Academic Journal
- Accession number :
- 158425727
- Full Text :
- https://doi.org/10.1177/0892705720930746