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Estimation of Tensile Modulus for Cross-Linked Polyethylene/Clay Shape Memory Nanocomposites

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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.

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Authors and Affiliations

  1. Biomaterials and Tissue Engineering Research Group, Department of Interdisciplinary Technologies, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, 14155-4364, Tehran, Iran

    Y. Zare

  2. Department of Mechanical Engineering, College of Engineering, Kyung Hee University, 446-701, Yongin, South Korea

    K. Y. Rhee

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Translated from in Fizicheskaya Mezomekhanika, 2020, Vol. 23, No. 4, pp. 90–98.

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Zare, Y., Rhee, K.Y. Estimation of Tensile Modulus for Cross-Linked Polyethylene/Clay Shape Memory Nanocomposites. Phys Mesomech 24, 211–218 (2021). https://doi.org/10.1134/S1029959921020119

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