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Modeling Electrical Percolation to optimize the Electromechanical Properties of CNT/Polymer Composites in Highly Stretchable Fiber Strain Sensors

机译:建模电气渗透以优化高耐拉伸纤维应变传感器中CNT /聚合物复合材料的机电性能

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A simulation model of electrical percolation through a three-dimensional network of curved CNTs is developed in order to analyze the electromechanical properties of a highly stretchable fiber strain sensor made of a CNT/polymer composite. Rigid-body movement of the curved CNTs within the polymer matrix is described analytically. Random arrangements of CNTs within the composite are generated by a Monte-Carlo simulation method and a union-find algorithm is utilized to investigate the network percolation. Consequently, the strain-induced resistance change curves are obtained in a wide strain range of the composite. In order to compare our model with experimental results, two CNT/polymer composite fibers were fabricated and tested as strain sensors. Their effective CNT volume fractions are estimated by comparing the experimental data with our simulation model. The results confirm that the proposed simulation model reproduces well the experimental data and is useful for predicting and optimizing the electromechanical characteristics of highly stretchable fiber strain sensors based on CNT/polymer composites.
机译:开发了通过三维网络的电渗滤模型的仿真模型,以分析由CNT /聚合物复合材料制成的高度拉伸纤维应变传感器的机电性能。在分析上描述了聚合物基质内弯曲CNT的刚体运动。复合材料内CNT的随机布置由Monte-Carlo仿真方法生成,并且利用联盟查找算法来研究网络渗透。因此,在复合材料的宽应变范围内获得应变诱导的电阻变化曲线。为了将模型与实验结果进行比较,制造了两种CNT /聚合物复合纤维并测试为应变传感器。通过将实验数据与我们的仿真模型进行比较来估计它们有效的CNT体积分数。结果证实,所提出的仿真模型再现实验数据,可用于基于CNT /聚合物复合材料预测和优化高伸展纤维应变传感器的机电特性。

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