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Estimation of Tensile Modulus for Cross-Linked Polyethylene/Clay Shape Memory Nanocomposites
Physical Mesomechanics ( IF 1.8 ) Pub Date : 2021-06-01 , DOI: 10.1134/s1029959921020119
Y. Zare , K. Y. Rhee

Abstract

Many models are used for the analysis of tensile modulus in cross-linked polyethylene/clay shape memory polymer nanocomposites. The conventional models such as modified rule of mixtures, Guth, Paul, Counto, Kerner–Nielsen, etc. underestimate the modulus exhibiting that the reinforcing effect of nanofiller should be considered for the estimation of tensile modulus in the shape memory nanocomposites. In addition, the appropriate parameters in some models are indicated for proper prediction of tensile modulus. Several models such as Halpin–Tsai for fillers with random 3D distribution and Hui–Shia offer the average aspect ratio of 56 for nanoclay layers. The results obtained by the Takayanagi model are not fitted to the experimental results demonstrating the important effect of the interphase between polymer matrix and nanoclay. Some models such as Guth, Halpin–Tsai and Kerner–Nielsen are modified for better adjustment to tensile modulus of cross-linked polyethylene/clay shape memory nanocomposites.



中文翻译:

交联聚乙烯/粘土形状记忆纳米复合材料拉伸模量的估算

摘要

许多模型用于分析交联聚乙烯/粘土形状记忆聚合物纳米复合材料的拉伸模量。传统模型,如修正的混合物规则、Guth、Paul、Counto、Kerner-Nielsen 等,都低估了模量,表明在估计形状记忆纳米复合材料的拉伸模量时应考虑纳米填料的增强效应。此外,某些模型中的适当参数被指示以正确预测拉伸模量。几种模型(例如用于随机 3D 分布的填料的 Halpin-Tsai 和 Hui-Shia)提供的纳米粘土层的平均纵横比为 56。Takayanagi 模型获得的结果与证明聚合物基质和纳米粘土之间的界面的重要影响的实验结果不符。

更新日期:2021-06-02
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