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A Study of a Novel Synergy Definition for Ternary CB/CNT Composites Suggesting a Representative Model for CB and CNT
Macromolecular Theory and Simulations ( IF 1.8 ) Pub Date : 2020-07-20 , DOI: 10.1002/mats.202000035
Guanda Yang 1, 2 , Dirk W. Schubert 2 , Fritjof Nilsson 1, 3 , Muchao Qu 1, 2 , Michael Redel 1, 2
Affiliation  

For polymer composites containing two types of conductive fillers, the electrical conductivity can be predicted with a ternary mixing equation. However, a slight deviation from the foreseen trend is recently observed for ternary polymethyl methacrylate (PMMA) nanocomposites containing carbon nanotubes (CNT) and carbon black (CB). In this study, the reason for the deviation is examined. Representative composite geometries are generated with Monte‐Carlo technique and the composite conductivity is calculated with Finite Element Modeling (FEM) Traditional FEM strategies would give results resembling the ternary mixing equation, but when the CB particles are modeled as solid spheres whereas the CNT are modeled as solid cylinders surrounded by soft, conductive shells, the composite conductivity gained the same shape as observed experimentally. One possible interpretation is that a small geometrical rearrangement of the CNT fibers has a larger impact on the composite conductivity than a corresponding movement of the spherical CB particles. As a consequence, the CNT/CB/PMMA nanocomposite exhibits a special kind of synergy (“synergism”), caused by the grape‐shaped morphology. These findings can be utilized in the future development and optimization of conductive polymer nanocomposites.

中文翻译:

新型三元CB / CNT复合材料协同作用定义的研究表明CB和CNT的代表性模型

对于包含两种类型的导电填料的聚合物复合材料,可以使用三元混合方程式预测电导率。但是,最近发现含有碳纳米管(CNT)和炭黑(CB)的三元聚甲基丙烯酸甲酯(PMMA)纳米复合材料与预见的趋势略有偏离。在这项研究中,检查了偏差的原因。具有代表性的复合材料几何形状是通过蒙特卡洛技术生成的,并且复合导电性是通过有限元建模(FEM)计算的。传统的FEM策略将给出类似于三元混合方程的结果,但是当CB颗粒被建模为固体球而CNT被建模时由于实心圆柱体被柔软的导电壳包围,因此复合导电率与实验观察到的形状相同。一种可能的解释是,与球形CB颗粒的相应运动相比,CNT纤维的较小几何重排对复合导电性的影响更大。结果,CNT / CB / PMMA纳米复合材料表现出特殊的协同作用(“协同作用”),这是由葡萄形形态引起的。这些发现可用于导电聚合物纳米复合材料的未来开发和优化。
更新日期:2020-09-14
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