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Prediction of electrical properties of carbon nanotube/polymer composites

机译:碳纳米管/聚合物复合材料的电性能预测

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In this research,we propose a 3 dimensional(3D)numerical model to predict the electrical properties of insulating polymer filled by carbon nanotubes(CNTs).In this model,with the assumption of randomly distributed CNTs in polymers,the percolation threshold is predicted at the volume fraction of CNTs when a complete conductive pathway connected by some CNTs is built up.Furthermore,a 3D resistor network model for electrical conduction problems of composites is proposed,in which Kirchhoff’s current law is used to build up the system equations at different nodes in the network connected by CNTs,and then Ohm’s law is used to predict the macroscopic electrical conductivity of composites.The influence of curved shape of CNTs on the electrical properties is investigated in detail.Moreover,the experiments are performed.The present experimental results plus some previous experimental results by other researchers are employed to verify the numerical results.Finally,the application of this nano-composite for high sensitive strain sensors is experimentally and theoretically investigated.
机译:在这项研究中,我们提出了一个三维(3D)数值模型来预测由碳纳米管(CNT)填充的绝缘聚合物的电性能。在该模型中,假设CNT在聚合物中是随机分布的,则渗滤阈值的预测值为此外,建立了复合材料导电问题的3D电阻网络模型,利用基尔霍夫电流定律在不同节点上建立了系统方程。在碳纳米管连接的网络中,然后用欧姆定律预测复合材料的宏观电导率。详细研究了碳纳米管弯曲形状对电性能的影响。此外,还进行了实验。利用其他研究人员先前的一些实验结果来验证数值结果。最后,该纳米计算机的应用实验和理论上都对高灵敏应变传感器的位置进行了研究。

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