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Prediction Models for the Elastic Modulus of Fiber-reinforced Polymer Composites: An Analysis

机译:纤维增强聚合物复合材料弹性模量的预测模型:分析

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An analysis has been done on the existing models for the prediction of the elastic modulus of fiber-reinforced polymer composites (FRPC). The experimental data reported in different specialized research journals have been fitted to the models. It is found the theoretical models such as the Parallel, Series and Halpin-Tsai model, by no means, predict the modulus within an acceptable deviation factor of 0.1. The semi-empirical models such as modified Halpin-Tsai and Bowyer-Bader model, which have one adjustable parameter, and are expressed in terms of volume fraction describe the modulus satisfactorily. In this paper, a mass fraction based model with one adjustable parameter is proposed, which also describe the modulus successfully. The proposed model, being mass fraction-based, is more convenient to work with than any volume-fraction based model, and unlike all other models (theoretical and semi-empirical), it has the potentials to have practical applications in structural material design.
机译:对现有模型进行了分析,以预测纤维增强聚合物复合材料(FRPC)的弹性模量。模型中拟合了不同专业研究期刊中报告的实验数据。可以发现,诸如Parallel,Series和Halpin-Tsai模型之类的理论模型决不能在可接受的偏差因子0.1之内预测模量。半经验模型(例如修改的Halpin-Tsai和Bowyer-Bader模型)具有一个可调整的参数,并且以体积分数表示,可以令人满意地描述模量。本文提出了一种具有一个可调整参数的基于质量分数的模型,该模型也成功地描述了模量。所提出的模型基于质量分数,比任何基于体积分数的模型更易于使用,并且与所有其他模型(理论和半经验模型)不同,它具有在结构材料设计中实际应用的潜力。

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