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Overall Thermal Conductivity of Carbon Fiber Polymer Matrix Composites Undergoing Thermal Decomposition

机译:碳纤维聚合物基复合材料经历热分解的总导热系数

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The objective of this work is micromechanics-based prediction of the effectivelongitudinal and transverse thermal conductivity of carbon fiber reinforced polymer(CFRP) composites at high temperatures, when pyrolytic thermal decomposition ofthe polymer matrix takes place. Microstructure of the composite evolves withtemperature and consists of polymer phase, growing pores, which representpyrolytic gaseous phase, and continuous carbon fibers. Volume fractions ofpolymer and pores at different temperatures are obtained from the Arrhenius-typeequation describing decomposition of the polymer matrix. The char residueproduced during pyrolytic thermal decomposition is not considered in this study.Microstructure generation algorithms are developed to create densely packed,randomly distributed, poly-dispersed, particle filled microstructures consisting ofcircular (representing fibers) and elliptic (representing pores) inclusions. Statisticalanalysis of the generated microstructures is discussed to demonstrate theirsuitability. A two-step numerical homogenization technique is used to compute theeffective directional thermal conductivities of the composite. The computationalresults for the effective transverse and longitudinal thermal conductivities areobtained for the AS4/3501-6 composite in a temperature range up to 700 K.
机译:这项工作的目标是基于微观力学的有效预测 碳纤维增强聚合物的纵向和横向热导率 (CFRP)复合材料在高温下热解时会分解 发生聚合物基体。复合材料的微观结构随着 温度,由聚合物相,正在生长的孔组成,这些孔代表 热解气相和连续碳纤维。的体积分数 从Arrhenius型获得了不同温度下的聚合物和孔 描述聚合物基质分解的方程。炭渣 在这项研究中不考虑在热解热分解过程中产生的产物。 开发了微结构生成算法以创建密集堆积的, 随机分布,多分散,颗粒填充的微观结构,包括 圆形(代表纤维)和椭圆形(代表孔)内含物。统计 讨论了对生成的微结构的分析以证明其 适应性。两步数值均化技术用于计算 复合材料的有效方向热导率。计算的 有效的横向和纵向热导率的结果是 AS4 / 3501-6复合材料可在最高700 K的温度范围内获得。

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