Percolation threshold of conducting polymer composites containing 3D randomly distributed graphite nanoplatelets

Jing Li, Jang Kyo Kim

Research output: Contribution to journalArticlepeer-review

425 Scopus citations

Abstract

An improved analytical model is developed based on the average interparticle distance (IPD) concept to predict the percolation threshold of conducting polymer composites containing disc-shaped nanoparticles with high aspect ratios. Two different conditions were taken into account in the model in terms of particle distribution, namely two- and three-dimensional random orientations. A 10 nm interparticle distance is adopted as the electrical conducting criterion according to the tunneling mechanism, and the percolation threshold is estimated as a function of geometric shape of the nanoparticle. A parametric study suggests that the thickness and diameter of fillers are important factors that determine the percolation threshold of conducting nanocomposites. The accuracy and the applicability of the present IPD model are verified by comparing with several existing models and experimental data for graphite nanoplatelet reinforced polymer nanocomposites. It is shown that the current model presents much better agreement with experimental results than existing models.

Original languageBritish English
Pages (from-to)2114-2120
Number of pages7
JournalComposites Science and Technology
Volume67
Issue number10
DOIs
StatePublished - Aug 2007

Keywords

  • A. Polymer-matrix composites
  • B. Electrical properties
  • B. Modeling
  • Graphite nanoplatelets

Fingerprint

Dive into the research topics of 'Percolation threshold of conducting polymer composites containing 3D randomly distributed graphite nanoplatelets'. Together they form a unique fingerprint.

Cite this