Comprehensive correlation analysis of electromechanical behavior in high-stretchable carbon nanotube/polymer composites

IF 3.1 Q2 MATERIALS SCIENCE, COMPOSITES
Seong-Won Jin, Myeong-Seok Go, Youngu Lee, Seungwha Ryu, J. Lim
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引用次数: 0

Abstract

In this study, a comprehensive correlation analysis of highly stretchable carbon nanotube (CNT)/polymer composites was conducted to predict the change in electrical conductivities in response to uniaxial deformation. To this end, the representative volume elements (RVEs) were generated by randomly distributing CNTs in a polymer matrix using a Monte Carlo simulation algorithm. The effective electrical conductivity was then calculated through a network model. Under uniaxial tensile strain, where the length of CNTs was maintained constant and their configuration kept straight, CNT translation and rotation were considered along with the effects of tensile strain and shrinkage, incorporating Poisson's ratio. The RVE configuration was updated to account for changes in the network under these conditions. To achieve a strong correlation between the simulation and test results from the previously published works, numerous trade-off studies have been conducted on the RVE size, geometric periodicity, the length of CNT fibers, the mixing ratio of CNT fibers of CNT/polymer composites, and tensile strain. From the results it can be seen that excellent correlations can be only achieved with careful control of the aforementioned parameters.
高拉伸碳纳米管/聚合物复合材料机电行为的综合关联分析
本研究对高度可拉伸碳纳米管(CNT)/聚合物复合材料进行了全面的相关性分析,以预测单轴变形时导电率的变化。为此,使用蒙特卡罗模拟算法在聚合物基体中随机分布碳纳米管,生成代表性体积元素(RVE)。然后通过网络模型计算出有效电导率。在单轴拉伸应变条件下,CNT 的长度保持不变,其配置保持直线,CNT 的平移和旋转以及拉伸应变和收缩的影响都被考虑在内,并结合了泊松比。对 RVE 配置进行了更新,以考虑这些条件下网络的变化。为了使模拟结果与之前发表的测试结果具有很强的相关性,我们对 RVE 的尺寸、几何周期、CNT 纤维的长度、CNT/聚合物复合材料中 CNT 纤维的混合比以及拉伸应变进行了大量的权衡研究。从结果可以看出,只有仔细控制上述参数,才能实现出色的相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Functional Composites and Structures
Functional Composites and Structures Materials Science-Materials Science (miscellaneous)
CiteScore
4.80
自引率
10.70%
发文量
33
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