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Using Genetic Algorithms to Study the Effect of Cellulose Fibers Ratio on the Fiber-matrix Interface Damage of Biocomposite Materials

机译:使用遗传算法研究纤维素比率对生物复合材料纤维-基质界面损伤的影响

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Background: In this article, we have studied the effect of cellulose fibers ratio on the fiber matrix interface damage of biocomposite materials based on a Polypropylene (PP) matrix. Methods: Few patents on the effect of cellulose fibers ratio on the fiber-matrix interface damage of biocomposite materials were published. We have investigated this damage, using a metaheuristic simulation based on the two Weibull probabilistic models which successively described the damage of the fiber and the matrix, our objective function is presented by the Cox model. Results: The results of our genetic modeling confirm that the level of damage is related to the mechanical stresses applied to the five studied materials Cotton-Polypropylene, Jute-Polypropylene, Flax-Polypropylene, Ramie-Polypropylene and Aramid-Polypropylene. Our genetic modeling indicates that the rate of cellulose in each fiber has a significant influence on the progressive degradation of the interface. The numerical simulation compared to the result obtained by genetic algorithm for the Aramid-Polypropylene composite shows that the level of degradation of the interface is greater compared to other biocomposite materials and that Cotton-Polypropylene has a very low interface damage compared to other biocomposites (82.5% cellulose). Conclusion: It can thus be said that the model correctly took into account the degradation phenomenon of a unidirectional composite and biocomposite and our calculations coincide perfectly with the conclusions of Antoine et al. who determined that the rate of cellulose in each fiber participates in the improvement of the mechanical properties of biocomposite materials.
机译:背景:在本文中,我们研究了纤维素纤维比例对基于聚丙烯(PP)基质的生物复合材料纤维基质界面损伤的影响。方法:很少有关于纤维素纤维比例对生物复合材料纤维-基质界面损伤的影响的专利。我们使用基于两个Weibull概率模型的元启发式仿真研究了这种损坏,该模型依次描述了纤维和基体的损坏,我们的目标函数由Cox模型表示。结果:我们的遗传建模结果证实,损伤程度与施加于五种研究材料的机械应力有关,这些材料分别是棉-聚丙烯,黄麻-聚丙烯,亚麻-聚丙烯,Ram麻-聚丙烯和芳纶-聚丙烯。我们的遗传模型表明,每根纤维中纤维素的比率对界面的逐步降解具有重大影响。与通过遗传算法获得的芳纶-聚丙烯复合材料的结果进行的数值模拟比较表明,与其他生物复合材料相比,界面的降解水平更高,并且与其他生物复合材料相比,棉-聚丙烯的界面损伤非常低(82.5 %纤维素)。结论:因此可以说,该模型正确考虑了单向复合材料和生物复合材料的降解现象,我们的计算与Antoine等人的结论完全吻合。他确定了每种纤维中纤维素的比例参与了生物复合材料机械性能的改善。

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