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Conductivity and percolation in epoxy resin/conductive filler composites

机译:环氧树脂/导电填料复合材料的电导率和渗透

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摘要

Composites of the polymer/filler type, when the filler is a conductive material such as metal particles, exhibit electrical conductivity that increases with concentration of the conductive phase. These complex materials are considered to be chaotic mixtures of conductive particles randomly distributed in an insulating matrix. The conductivity of these materials in dc electric fields is studied in terms of percolation theory, where electrical conductivity sigma is rapidly increased at a critical concentration, defined as P_c, of the conductive phase, according to sigma approx = (P-P_c)~alpha. In this work, various epoxy resin/conductive filler composites were prepared. The filler was metal powder of copper, aluminium, or zinc. The conductive behaviour of these materials was studied at temperatures varied from 20 to 140 deg C. Data obtained from these measurements are analysed using percolation theory and introducing new parameters beta and sigma_c into the above relation. A semiempirical algorithm is introduced for the determination of alpha, beta, sigma_c, and P_c.
机译:当填料是诸如金属颗粒的导电材料时,聚合物/填料类型的复合物表现出随着导电相浓度的增加而增加的电导率。这些复杂的材料被认为是随机分布在绝缘基质中的导电颗粒的混沌混合物。根据渗流理论研究了这些材料在直流电场中的电导率,其中电导率σ在导电相的临界浓度(定义为P_c)下根据σ大约=(P-P_c)〜alpha迅速增加。在这项工作中,制备了各种环氧树脂/导电填料复合材料。填料是铜,铝或锌的金属粉末。在20至140摄氏度的温度范围内研究了这些材料的导电性能。使用渗流理论分析了从这些测量中获得的数据,并将新参数beta和sigma_c引入上述关系中。引入了一种半经验算法来确定alpha,beta,sigma_c和P_c。

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