将实验性结晶动力学集成到Autodesk Moldflow中:对iPP和POM进行验证和结晶性预测
Vito Speranza1, Valentina Volpe1, Rita Salomone1
1Department of Industrial Engineering, University of Salerno, Via Giovanni Paolo II, 132, I-84084 Fisciano, Italy.
Polymers
|February 27, 2026
概括
精确的注塑模拟需要精确的结晶模型. 本研究介绍了将实验数据集成到Autodesk Moldflow中的两种方法,改善了对聚烯和聚氧甲等聚合物的预测.
科学领域:
- 聚合物科学 聚合物科学
- 材料工程 材料工程 材料工程
- 计算机建模 计算建模
背景情况:
- 在注射成型中准确预测半晶体部分特性需要强大的结晶动力学模型.
- 现有的模型,如Avrami-Hoffman-Lauritzen配方,可能无法捕捉所有聚合物中观察到的复杂核化行为.
研究的目的:
- 介绍两种实用策略,用于将实验衍生的结晶动力学纳入Autodesk Moldflow.
- 针对特定聚合物结晶行为的原生Avrami-Hoffman-Lauritzen配方的局限性.
- 用现实世界的聚合物实例来验证拟议的方法.
主要方法:
- 开发了两种方法,将实验结晶数据集成到Autodesk Moldflow中.
- 适用于异质核和多氧甲 (POM) 的同位性聚烯 (iPP T30G) 和组合核的应用方法.
- 通过匹配同热半结晶时间 (t0.5) 和调整流量诱导核化术语,优化模具流量参数.
主要成果:
- 成功地将非本地结晶动力学纳入模具流模拟.
- 在iPP和POM的计算和实验测量的结晶性演变之间取得了良好的一致.
- 重现测量的球状石直径,显示微观结构发展的准确预测.
结论:
- 提出的策略提高了半晶体聚合物注塑模拟的预测准确度.
- 这些方法提供了一种实用的方法,可以超越标准配方来模型复杂的结晶行为.
- 改进的模拟精度有助于更好地预测最终部件特性和材料选择.
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