用结晶动力学数据模拟聚甲醛的注射成型及与实验过程的比较

IF 1.9 Q2 CRYSTALLOGRAPHY
Theresia Schrank, M. Berer, B. Haar, B. Ramôa, T. Lucyshyn, M. Feuchter, G. Pinter, V. Speranza, R. Pantani
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引用次数: 1

摘要

众所周知,聚合物加工中的加工条件对所得材料形态以及部件的机械行为有很大影响。然而,特别是对于半结晶聚合物,可用于预测注塑零件最终形态的工具仍然具有显著的局限性。为了研究注射成型模拟预测形态的潜力,对聚甲醛均聚物样品进行了注射成型。测量结晶动力学数据,并在Autodesk Moldflow中进行有结晶分析和无结晶分析的3D和2.5D模拟。仿真结果与实验结果基本一致。预测的球晶尺寸和结晶取向因子与光学显微照片具有良好的定性相关性。此外,这些参数沿着流动路径的演变是合理的。该模拟被发现是聚合物零件形态预测的有力工具。然而,它的适用性仍然局限于Autodesk Moldflow中的2.5D模型,当然,这对于复杂的厚壁三维零件来说是不够的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Injection Molding Simulation of Polyoxymethylene Using Crystallization Kinetics Data and Comparison with the Experimental Process
It is well known that the processing conditions in polymer processing have a high impact on the resulting material morphology and consequently the component’s mechanical behavior. However, especially for semicrystalline polymers, the tools available for predicting the final morphology of injection molding parts still have significant limitations. In order to investigate the potential of injection molding simulation for the prediction of the morphology, POM homopolymer specimens were injection molded. The crystallization kinetics data were measured, and simulations in 3D and 2.5D with and without crystallization analysis were conducted in Autodesk Moldflow. The simulations are found to be good accordance with the experiments. Predicted spherulite size and crystalline orientation factor reveal a good qualitative correlation with optical micrographs. Also, the evolution of these parameters along the flow path is plausible. The simulation is found to be a powerful tool for morphology prediction in polymeric parts. Its applicability, however, is still limited to 2.5D models in Autodesk Moldflow, which, of course, is insufficient for complex, thick-walled 3-dimensional parts.
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来源期刊
Polymer Crystallization
Polymer Crystallization Materials Science-Materials Science (miscellaneous)
CiteScore
4.70
自引率
0.00%
发文量
7
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