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A Recoverable Strain-Based Model for Flow-Induced Crystallization

机译:基于可回收的流动诱导结晶模型

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A model for the combined processes of quiescent and flow-induced crystallization of polymers is presented. This modeling should provide the necessary input data, in terms of the structure distribution in a product, for the prediction of mechanical properties and shape- and dimensional-stability. The model is partly based on the work of Schneider et al. and Eder et al. where the shear rate was taken as the relevant parameter for flow-induced crystallization. Rather then the shear rate as the driving force, a viscoelastic approach is proposed here, where the resulting recoverable strain (expressed by the elastic Finger tensor) with the highest relaxation time is the driving force for flow-induced crystallization. Thus we focus on the polymer that experiences the flow, rather then on the flow itself. For a fully characterized isotactic Polypropylene (iPP), i.e. a polymer for which all data needed as input for the computational model are available, comparison with experimental results from literature shows good agreement. For results from extensional flow, part of this data set is missing and therefore comparison is only qualitative.
机译:介绍了用于聚合物的静态和流动诱导结晶的组合过程的模型。该建模应在产品中的结构分布方面提供必要的输入数据,用于预测机械性能和形状和尺寸稳定性。该模型部分基于Schneider等人的工作。和eder等人。其中剪切速率作为流动诱导的结晶的相关参数。相反,此处提出了一种作为驱动力的剪切速率,其中提出了一种具有最高弛豫时间的可回收菌株(由弹性指状张光表示)是用于流动诱导的结晶的驱动力。因此,我们专注于经历流动的聚合物,而不是在流动本身上。对于完全表征的等立方聚丙烯(IPP),即可获得作为计算模型的输入所需的所有数据的聚合物,与文献的实验结果相比显示出良好的一致性。对于扩展流程的结果,缺少该数据集的一部分,因此比较仅是定性的。

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