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含有随机分散导电纳米片的复合材料的隧道电导率和压阻率

Tunneling Conductivity and Piezoresistivity of Composites Containing Randomly Dispersed Conductive Nano-Platelets.

作者信息

Oskouyi Amirhossein Biabangard, Sundararaj Uttandaraman, Mertiny Pierre

机构信息

Advanced Composite Materials Engineering Group, Department of Mechanical Engineering, University of Alberta, Edmonton T6G 2G8, AB, Canada.

Department of Chemical and Petroleum Engineering, University of Calgary, Calgary T2N 1N4, AB, Canada.

出版信息

Materials (Basel). 2014 Mar 28;7(4):2501-2521. doi: 10.3390/ma7042501.

Abstract

In this study, a three-dimensional continuum percolation model was developed based on a Monte Carlo simulation approach to investigate the percolation behavior of an electrically insulating matrix reinforced with conductive nano-platelet fillers. The conductivity behavior of composites rendered conductive by randomly dispersed conductive platelets was modeled by developing a three-dimensional finite element resistor network. Parameters related to the percolation threshold and a power-low describing the conductivity behavior were determined. The piezoresistivity behavior of conductive composites was studied employing a reoriented resistor network emulating a conductive composite subjected to mechanical strain. The effects of the governing parameters, , electron tunneling distance, conductive particle aspect ratio and size effects on conductivity behavior were examined.

摘要

在本研究中,基于蒙特卡罗模拟方法开发了一种三维连续渗流模型,以研究由导电纳米片填料增强的电绝缘基体的渗流行为。通过建立三维有限元电阻网络,对由随机分散的导电片使复合材料具有导电性的导电行为进行了建模。确定了与渗流阈值和描述导电行为的幂律相关的参数。采用重新定向的电阻网络模拟承受机械应变的导电复合材料,研究了导电复合材料的压阻行为。研究了控制参数、电子隧穿距离、导电颗粒长径比和尺寸效应等对导电行为的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2204/5453361/7493695b78cd/materials-07-02501f1.jpg

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