Indexed by:Journal Papers

Date of Publication:2016-01-01

Journal:COMPOSITE STRUCTURES

Included Journals:SCIE、EI

Volume:135

Page Number:297-305

ISSN No.:0263-8223

Key Words:Polymer nanocomposite; Effective elastic properties; Asymptotic homogenization

Abstract:The main issue of this paper is an attempt to predict the elastic properties of PVC/ABS/nano-CaCO3 polymer nanocomposites by coupling data of microstructure analysis and mechanical tests with a micro-mechanics analysis. The novel numerical implementation of asymptotic homogenization (NIAH) method is compared with the representative volume element (RVE) method under Dirichlet and Neumann boundary conditions. Numerical simulation results show that the NIAH method is more reasonable and accurate for simulating the micro-mechanical properties of periodic composite materials. In order to account for two kinds of particles spatial distribution in nanocomposites, statistical asymptotic homogenization (AH) method is performed by assigning randomness to the spatial distribution for the two kinds of particles in the unit cell. With increase of the number of the unit cell particles, the results of NIAH method converge to a stable value. We also show that in the case of fixed-size of the unit cell, the average mechanical properties of the obtained results converge to the stable value with the increase of the number of random configurations realization. In this paper, we use the unit cell containing the minimum number of particles for different weight ratio of two kinds of particles to obtain the effective mechanical properties by averaging simulation results of many samples of different configurations in the unit cell. Based on the results obtained, it can be concluded that spatial distribution for the two kinds of particles in the unit cell has a significant impact on the material macroscopic elastic properties. Furthermore, the method is more efficient to predict the mean values of the elastic properties than the experimental dispersions. Crown Copyright (C) 2015 Published by Elsevier Ltd. All rights reserved.