利用纤维取向分布函数预测山毛榉粉聚丙烯复合材料刚度

R. Khamedi, I. Ahmadi, M. Hashemi, K. Ahmaditabar
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引用次数: 5

摘要

微力学建模是预测短纤维复合材料刚度最著名的方法之一。本文设计了山毛榉粉天然复合材料的代表性体积元(RVE),并利用取向平均法对其刚度张量进行了预测。本工作的新颖之处在于找到合适的纤维取向分布函数,以提高这类天然复合材料刚度预测的精度。利用细观力学模型预测的刚度结果与山毛榉木粉/聚丙烯复合材料的试验试验结果和有限元分析结果进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Stiffness Prediction of Beech Wood Flour Polypropylene Composite by using Proper Fiber Orientation Distribution Function
One of the most famous methods to predict the stiffness of short fiber composites is micromechanical modeling. In this study, a Representative Volume Element (RVE) of a beech wood flour natural composite has been designed and the orientation averaging approach has been utilized to predict its stiffness tensor. The novelty of this work is in finding the proper fiber orientation distribution function to increase the precision of the stiffness prediction of this kind of natural composites. The predicted results for stiffness with the micromechanical modeling are compared to the experimental test results and FEM results of beech wood flour/polypropylene composite.
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