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首页> 美国卫生研究院文献>Nanomaterials >Stochastic Finite Element Analysis Framework for Modelling Electrical Properties of Particle-Modified Polymer Composites
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Stochastic Finite Element Analysis Framework for Modelling Electrical Properties of Particle-Modified Polymer Composites

机译：随机有限元分析框架用于建模粒子改性聚合物复合材料的电性能

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摘要

Properties such as low specific gravity and cost make polymers attractive for many engineering applications, yet their mechanical, thermal, and electrical properties are typically inferior compared to other engineering materials. Material designers have been seeking to improve polymer properties, which may be achieved by adding suitable particulate fillers. However, the design process is challenging due to countless permutations of available filler materials, different morphologies, filler loadings and fabrication routes. Designing materials solely through experimentation is ineffective given the considerable time and cost associated with such campaigns. Analytical models, on the other hand, typically lack detail, accuracy and versatility. Increasingly powerful numerical techniques are a promising route to alleviate these shortcomings. A stochastic finite element analysis method for predicting the properties of filler-modified polymers is herein presented with a focus on electrical properties, i.e., conductivity, percolation, and piezoresistivity behavior of composites with randomly distributed and dispersed filler particles. The effect of temperature was also explored. While the modeling framework enables prediction of the properties for a variety of filler morphologies, the present study considers spherical particles for the case of nano-silver modified epoxy polymer. Predicted properties were contrasted with data available in the technical literature to demonstrate the viability of the developed modeling approach.
机译：与许多工程应用的低比重和成本使聚合物具有吸引力，但它们的机械，热和电性能通常与其他工程材料相比较差。材料设计人员一直在寻求改善聚合物性质，这可以通过添加合适的颗粒填料来实现。然而，由于可用填充材料，不同形貌，填充载荷和制造路线的无数置换，设计过程具有挑战性。仅通过实验设计材料无效，鉴于与此类活动相关的相当长的时间和成本。另一方面，分析模型通常缺乏细节，准确性和多功能性。越来越强大的数字技术是减轻这些缺点的有希望的路线。用于预测填充改性聚合物的性质的随机有限元分析方法本文介绍了复合材料的电性能，即电导率，渗透和压阻性，具有随机分布的填充颗粒的电性能。还探讨了温度的影响。虽然建模框架使得能够预测各种填料形态的性质，但本研究认为用于纳米银改性环氧聚合物的球形颗粒。预测性质与技术文献中可用的数据形成鲜明对比，以证明开发的建模方法的可行性。

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