随机取向无纺布红麻/环氧复合材料的拉伸模量预测

N.G. Andre , Z.A. Mohd. Ishak
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引用次数: 9

摘要

随着非织造布和天然纤维在复合材料中应用的增加,需要找到良好的微观力学模型来表征它们的行为。本研究采用树脂转移模塑(RTM)法制备了不同纤维负荷下随机取向的红麻/环氧无纺布复合材料。实验结果表明,纤维载荷的增加会导致拉伸模量的增加。分析了混合规则(ROM)和包含Krenchel和Nairn模型的改进混合规则(ROM)的有效性。ROM无法预测复合材料的拉伸模量。同时,由于Nairn模型中包含了纤维长度因子,Krenchel模型中包含了纤维取向因子,因此MROM能够准确地预测拉伸模量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predicting the Tensile Modulus of Randomly Oriented Nonwoven Kenaf/Epoxy Composites

As there has been an increasing trend in using nonwovensnatural fiber in composites, there is a need to find good micromechanical models to represent their behavior. In this study,randomly oriented nonwoven kenaf/epoxy composites at various fiber loading has been fabricated by using resin transfer moulding (RTM) method. Experimental results show that increasing the fiber loading has led to the increment of tensile modulus. The validity of rule of mixtures (ROM) and modified rule of mixtures (MROM) which includes model by Krenchel and Nairn has also been analyzed. ROM has failed to predict the tensile modulus of the composites. Meanwhile, MROM managed to produce an accurate tensile modulus prediction due the inclusion of fiber length factor by Nairn model and fiber orientation factor by Krenchel model.

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