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Electrical conductivity of random and aligned nanocomposites: Theoretical models and experimental validation

Authors :
Amit Chanda
Sujeet K. Sinha
Naresh V. Datla
Source :
Composites Part A: Applied Science and Manufacturing. 149:106543
Publication Year :
2021
Publisher :
Elsevier BV, 2021.

Abstract

In this study, two different analytical models were developed to predict electrical conductivity of random and aligned nanofiber/polymer composites. Model-I calculated conductivity using micromechanics based analytical equation and model-II calculates effective conductivity by considering the composite as simplified fiber–fiber contact network based equivalent resistor model. The models incorporated the effect of filler geometry, concentration, orientation, interphase and percolation threshold. Electron tunneling along thin insulating layers between conductive fillers was considered as the major contributor of conductivity. The proposed models were validated with measured conductivity from random and electric field aligned CNF/epoxy composites of different concentrations. The models were further validated with literature data on the conductivity of random and aligned CNT and CNF/polymer composites. The proposed models can also be extended to predict electrical conductivity of nanocomposites with fillers with different geometry.

Details

ISSN :
1359835X
Volume :
149
Database :
OpenAIRE
Journal :
Composites Part A: Applied Science and Manufacturing
Accession number :
edsair.doi...........8b4e4251b21616b1d99936507fb66cbe