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Modeling the electromechanical and strain response of carbon nanotube-based nanocomposites

机译:模拟碳纳米管基纳米复合材料的机电和应变响应

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Over the last few decades, carbon nanotube (CNT)-based thin films or nanocomposites have been widely investigated as a multifunctional material. The proposed applications extend beyond sensing, ultra-strong coatings, biomedical grafts, and energy harvesting, among others. In particular, thin films characterized by a percolated and random distribution of CNTs within a flexible polymeric matrix have been shown to change its electrical properties in response to applied strains. While a plethora of experimental work has been conducted, modeling their electromechanical response remains challenging. Furthermore, their design and optimization require the derivation of accurate electromechanical models that could predict thin film response to applied strains. Thus, the objective of this study is to implement a percolation-based piezoresistive model that could explain the underlying mechanisms for strain sensing. First, a percolation-based model with randomly distributed, straight CNTs was developed in MATLAB. Second, the number of CNTs within a unit area was varied to explore its influence on percolation probability. Then, to understand how the film's electrical properties respond to strain, two different models were implemented. Both models calculated the geometrical response of the film and CNTs due to applied uniaxial strains. The first model considered the fact that the electrical resistance of individual CNTs changed depending solely on its length between junctions. The other model further explored the idea of incorporating strain sensitivity of individual CNTs. The electromechanical responses and the strain sensitivities of the two models were compared by calculating how their bulk resistance varied due to applied tensile and compressive strains. The numerical model results were then qualitatively compared to experimental results reported in the literature.
机译:在过去的几十年中,基于碳纳米管(CNT)的薄膜或纳米复合材料已被广泛研究为多功能材料。拟议的应用范围不仅限于传感,超强涂层,生物医学移植物和能量收集等。特别地,已经显示出以柔性聚合物基质内的CNT的渗透和无规分布为特征的薄膜响应于所施加的应变而改变其电性能。尽管进行了大量实验工作,但对其机电响应进行建模仍然具有挑战性。此外,它们的设计和优化要求推导精确的机电模型,该模型可以预测薄膜对所施加应变的响应。因此,本研究的目的是实现基于渗流的压阻模型,该模型可以解释应变传感的潜在机制。首先,在MATLAB中开发了基于渗流的模型,该模型具有随机分布的直碳纳米管。其次,改变单位面积内的CNT数量以探讨其对渗滤概率的影响。然后,为了了解薄膜的电性能如何响应应变,实施了两种不同的模型。两种模型都计算了由于施加的单轴应变而引起的薄膜和碳纳米管的几何响应。第一个模型考虑了这样一个事实,即各个CNT的电阻仅取决于其在结之间的长度而变化。另一个模型进一步探讨了合并单个CNT的应变敏感性的想法。通过计算两个模型的体电阻如何因施加的拉伸和压缩应变而发生变化,比较了两个模型的机电响应和应变敏感性。然后将数值模型的结果与文献中报道的实验结果进行定性比较。

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