基于预测理论模型的黄麻增强BSFT-PP复合材料粘弹性性能估算

R. Jacob, Reenu Elizabeth John
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引用次数: 0

摘要

近年来的研究对天然纤维替代合成纤维增强聚合物复合材料的健康环境提出了挑战。黄麻增强聚合物复合材料因其优异的性能和广泛的应用在天然生物纤维中得到了广泛的应用。这项工作的重点是使用动态力学分析(DMA)技术黄麻增强纤维的粘弹性。热塑性聚合物的种类、尺寸、形态、载荷水平和纤维的分布都会影响所制备的黄麻增强BSFT-PP复合材料的性能。研究了复合材料的相间黏附性能、交联效应和蠕变顺应性。利用预测的理论模型进一步研究了从DMA数据中得到的存储模量值。所建模型与实验数据吻合较好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimation of viscoelastic properties of jute-reinforced BSFT-PP composites based on the predicted theoretical models
Recent researches have challenged natural fibres as a suitable replacement for synthetic fibre for reinforcement in polymer composites for healthy environment. Jute reinforced polymer composites have gained momentum among the natural biofibres due to its properties and applications. This work focusses on the viscoelastic nature of Jute reinforced fibres using the Dynamic mechanical Analysis (DMA) technique. The type of thermoplastic polymer included, size, morphology, loading level and distribution of fibres all affect the performance of the Jute reinforced BSFT-PP composite prepared. The interphase adhesion properties, cross linking effects and the creep compliance of the composites fabricated are identified. The storage modulus values obtained from the DMA data are further investigated using the predicted theoretical models. The models implemented are in good agreement with the experimental data obtained.
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