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

被引:51
作者
Chanda, Amit [1 ]
Sinha, Sujeet K. [1 ]
Datla, Naresh, V [1 ]
机构
[1] Indian Inst Technol Delhi, Dept Mech Engn, New Delhi 110016, India
关键词
Carbon nanotubes and nanofibers; Polymer-matrix composites (PMCs); Electrical properties; Analytical modelling; Percolation threshold; NANOTUBES NANOCOMPOSITES; EPOXY NANOCOMPOSITES; CARBON; PERCOLATION; PREDICTION; INTERPHASE; RESISTANCE;
D O I
10.1016/j.compositesa.2021.106543
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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.
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页数:11
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