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Verification of numerical homogenization approach in predicting thermal conductivities of fiber reinforced composites with voids and randomly distributed fibers

机译:用空隙和随机分布纤维预测纤维增强复合材料热导体的数值均匀化方法的验证

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The aim of this paper is to establish the homogenization approach that eliminates the difficulties encountered by the conventional numerical methods in analyzing thermal behavior of the multi-material component systems with minimum computational resources. Analysis of problems with intricacies or larger domains can be made simpler through finite element assisted homogenization approach. In this paper, applicability of homogenization approach is verified by considering two cases (ⅰ) composite with voids and (ⅱ) composite with fibers distributed randomly. Fiber randomness case is investigated by Digital Image-Based (DIB) modeling technique in association with MATLAB'S image processing module. Also effect of transverse fiber crack on the effective thermal conductivity of the composite is studied. Results of homogenization approach compared with micro-mechanics approach yielded maximum percentage deviation of 1.72% for voids case and 1.49% for fiber randomness case.
机译:本文的目的是建立均质方法,以消除传统数值方法遇到的困难,以分析具有最小计算资源的多材料组件系统的热行为。通过有限元辅助均质化方法可以更简单地分析复杂复杂或更大域的问题。本文通过考虑两种情况(Ⅰ)用空隙和(Ⅱ)复合材料随机分布,通过考虑两种情况(Ⅰ)复合材料来验证均质化方法的适用性。基于数字图像的(DIB)建模技术研究了光纤随机性案例与MATLAB的图像处理模块相关联。研究了横向纤维裂纹对复合材料有效导热率的影响。与微型机械方法相比均质化方法的结果产生的空隙案例的最大百分比为1.72%,纤维随机性案例为1.49%。

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