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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性能的实证方法

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In this paper, empirical models are proposed using multiple non linear regressions technique to predict the influence on the Young's 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:本文采用多元线性回归技术提出了经验模型,以预测对杨氏模量的影响和天然纤维增强塑料复合材料(NFRPC)的影响。马来酸酐接枝的聚丙烯(MAPP)是用于改善纤维和塑料材料之间的界面键合的经过验证的偶联剂(CA)。当通过模型预测复合材料的性质时,包括偶联剂的因子是重要的。对于该模型的开发,从文献中提出的各种研究期刊中收集了数据。执行非线性回归分析以获得使用Polymath Scientific软件获得实证模型。发现结果是在可接受的范围内。

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