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An Empirical Approach for Prediction of Natural Fiber Reinforced Polypropylene Composite Properties

机译:预测天然纤维增强聚丙烯复合材料性能的经验方法

摘要

In this paper, empirical models are proposed using multiple non linear regressions technique to predict the influence on the Youngs modulus and the tensile strength of the natural fiber reinforced plastic composites (NFRPC). Maleic Anhydride grafted polypropylene (MAPP) has been a proven coupling agent (CA) used to improve the interfacial bonding between the fibers and the plastics material. It is important to include the factor of coupling agent, when making predictions the properties of the composites through the models. For the development of the model, data was collected from various research journals presented in literature. Non linear regression analysis was performed to obtain the empirical model using polymath scientific software. The results were found to be within the acceptable range.
机译:在本文中,使用多元非线性回归技术提出了经验模型,以预测其对杨氏模量和天然纤维增强塑料复合材料(NFRPC)的拉伸强度的影响。马来酸酐接枝的聚丙烯(MAPP)已被证明是一种偶联剂(CA),用于改善纤维与塑料之间的界面粘结。通过模型预测复合材料的性能时,重要的是要包括偶联剂的因素。为了开发模型,从文献中提供的各种研究期刊中收集了数据。使用Polymath科学软件进行了非线性回归分析以获得经验模型。发现结果在可接受的范围内。

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    Beg M. D. H.; Gupta Arun;

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  • 年度 2014
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