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Monte Carlo simulations of electrical conductivity in short fiber composites.

机译:短纤维复合材料电导率的蒙特卡洛模拟。

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摘要

The transport properties of conductive fiber composites are strongly dependent on the interactions between the conductive contents and their overall distribution, which is associated with the percolation and conduction of the relevant fibrous network. In this study, there are two models built to investigate the various factors that affect the effective electrical conductivity of short fiber reinforced conductive composites, via Monte Carlo simulations and finite element approaches.;First, a three-dimensional model was constructed to study the coated carbon fiberglass as the conductive filler. The fibers are modeled as randomly distributed three-dimensional cylinders with each cylinder consisting of a nonconductive core covered by a permeable conductive layer. By discretizing the interconnected surfaces of individual fibers, a finite element method is applied to evaluate the equivalent electrical conductivity of the entire system. In comparison with the model consisting of solid fibers, it has been shown that the coated structure can attain much higher conductivity.;Second, a reduced three-dimensional method was built to study general conductive fiber filler. Fibers are modeled as randomly distributed one-dimensional line segments in the three-dimensional space, and the contact conductivity between fibers are modeled by gap elements having the distances between fibers as their lengths and contact areas between fibers as their cross-section areas. This method can investigate the contact problem between fibers independently.;In both of the two models, Monte Carlo simulations are performed to quantify the relationships between the conductivity and many factors, to name a few: the fiber volume fraction, the fiber aspect ratio, and the distribution of fiber orientation angles. It has been shown that fairly reasonable results can be attained by both of the two models, and the reduced three-dimensional model provides a strong tool to study contact related problems in fibrous network. These findings can be used as guidance in designing the next generation of multiscale conductive composites.
机译:导电纤维复合材料的传输性能在很大程度上取决于导电含量与其整体分布之间的相互作用,这与相关纤维网络的渗透和传导有关。本研究建立了两个模型,通过蒙特卡罗模拟和有限元方法研究了影响短纤维增强导电复合材料有效电导率的各种因素。首先,建立了一个三维模型来研究涂层碳纤维玻璃作为导电填料。纤维被建模为随机分布的三维圆柱体,每个圆柱体由被导电性导电层覆盖的非导电芯组成。通过离散化单个纤维的互连表面,可以应用有限元方法来评估整个系统的等效电导率。与由实心纤维组成的模型相比,已表明涂覆的结构可以获得更高的导电性。其次,建立了一种简化的三维方法来研究一般的导电纤维填料。纤维被建模为三维空间中随机分布的一维线段,纤维之间的接触电导率以间隙元素为模型,该间隙元素以纤维之间的距离为长度,而纤维之间的接触面积为横截面。这种方法可以独立研究纤维之间的接触问题。;在这两个模型中,均进行了蒙特卡洛模拟,以量化电导率与许多因素之间的关系,仅举几例:纤维体积分数,纤维长径比,以及纤维取向角的分布。已经表明,两个模型都可以得到相当合理的结果,而简化的三维模型为研究纤维网络中与接触有关的问题提供了强大的工具。这些发现可作为设计下一代多尺度导电复合材料的指导。

著录项

  • 作者

    Zhang, Tian.;

  • 作者单位

    University of Denver.;

  • 授予单位 University of Denver.;
  • 学科 Engineering Mechanical.;Engineering Materials Science.
  • 学位 M.S.
  • 年度 2008
  • 页码 94 p.
  • 总页数 94
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 机械、仪表工业;工程材料学;
  • 关键词

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