• 文献标题:   Computational prediction of electrical percolation threshold in polymer/graphene-based nanocomposites with finite element method
  • 文献类型:   Article
  • 作  者:   VEISKARAMI A, SARDARI D, MALEKIE S, MOFRAD FB, KASHIAN S
  • 作者关键词:   electrical conductivity, electrical percolation threshold, finite element method, polymer, graphenebased nanocomposite, twodimensional model
  • 出版物名称:   JOURNAL OF POLYMER ENGINEERING
  • ISSN:   0334-6447 EI 2191-0340
  • 通讯作者地址:  
  • 被引频次:   3
  • DOI:   10.1515/polyeng-2022-0101 EA AUG 2022
  • 出版年:   2022

▎ 摘  要

In this research work, a two-dimensional model to predict the electrical percolation threshold (EPT) of the polymer/graphene-based nanocomposites in different concentrations of the randomly dispersed inclusions in various polymer matrices is introduced using the finite element method (FEM). The predicted EPT values were validated by other experimental results for different nanocomposites. Results showed that the electrical conductivity of different nanocomposites is significantly related to the percentage weight of the reinforcing phase in the polymer matrix. Furthermore, the addition of graphene-based nano-fillers in the polymer matrix caused a decrease in the tunneling distance in nanocomposites.