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Micromechanically-based Effective Electrical Conductivity Estimates and Experimental study for Polymer Nanocomposites: Percolation Threshold

机译:基于微机械的有效电导率估计和聚合物纳米复合材料的实验研究:渗透阈值

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The classical micromechanics models were modified to predict the effective electrical conductivities of composites containing multiple distinct nano-heterogeneities (nanonbers, nanospheres, nanoplatelets, voids, etc.) each with an arbitrary number of coating layers based upon either the modified Mori-Tanaka or modified self-consistent methods, where the multi-inclusion and multi-phase composite models developed by Nemat-Nasser and Hori were employed. A parametric study was performed to investigate the effect of nanoreinforcement morphology, volume fraction, orientation, and nanoreinforcement-resin interphase properties on calculated effective electrical conductivities. Predicted electrical conductivities matched experimentally measured values for a new material manufacturing processing for improving dispersion of various shaped-and dimensioned-nanofillers such as carbon nanotubes, graphenes and carbon blacks within a Cyclic Butylene Terephthalate matrix is developed, and the experimentally measured thermal conductivities of those composites are compared with the predicted values obtained from analytic micromechanics models.
机译:经典的微机械模型被修改以预测含有多个不同纳米异烯(纳米球,纳米球,纳米片,空隙等)的复合材料的有效电导率,所述复合材料各自具有基于改性的Mori-tanaka或改性的任意数量的涂层层自我一致的方法,其中采用了Nemat-Nasser和Hori开发的多夹杂物和多相复合模型。进行参数研究以研究纳米因素形态,体积分数,取向和纳米茚宁 - 树脂间性能对计算有效电导率的影响。预测电导率匹配用于改善各种形状和尺寸纳米氧化物,如碳纳米管,石墨烯和炭黑的各种形状和尺寸的纳米氧化酯基质中的分散的新材料制造处理的实验测量值,并且实验测量的热导体将复合材料与从分析微机械模型获得的预测值进行比较。

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