Optimizing Mechanical Behavior in Polymer Bio-Composites Reinforced with Basalt, Graphene, and PP-g-MA

Hossein Taghipoor, Jaber Mirzaei
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Abstract

This paper aims to investigate the mechanical properties of bio-composites reinforced with basalt natural fibers/nanographene in polypropylene by incorporating pp-g-ma compatibilizer. The study employs the Response Surface Method with the Behnken box approach to formulate a novel mathematical model for bio-composite behavior based on the parameters of basalt fiber weight percentage, nanographene weight percentage, and PP-g-MA weight percentage. Unlike previous studies, our work uniquely integrates basalt fibers and nanographene to enhance tensile, bending, and impact strengths, achieving a composite with optimal mechanical properties. The performance of the research samples was evaluated through tensile, bending, and impact tests, with the results substantiated using Field Emission Scanning Electron Microscopy images. The failure surface in these samples revealed that the central mechanism influencing the performance of the introduced bio-composite is the failure of the fibers and their separation, accompanied by the stretching of the fibers from the base material. Subsequently, multi-objective optimization was conducted with the aim of increasing tensile strength, bending strength, and impact strength while reducing the weight of the samples. A Pareto diagram is presented based on the design goals. The outcomes indicate that the bio-composite sample values in the most suitable state for three mechanical characteristics including, tensile, impact, and bending strength are equal to 28, 90, and 49 MPa, respectively. This innovative combination and optimization significantly improve performance metrics, demonstrated through extensive testing and multi-objective optimization, which reveals the bio-composite's superior mechanical characteristics.
优化用玄武岩、石墨烯和 PP-g-MA 增强的聚合物生物复合材料的力学行为
本文旨在研究在聚丙烯中加入pp-g-ma 相容剂,用玄武岩天然纤维/纳米石墨烯增强的生物复合材料的力学性能。本研究采用响应面法和贝肯盒法,根据玄武岩纤维重量百分比、纳米石墨烯重量百分比和 PP-g-MA 重量百分比等参数,建立了一个新颖的生物复合材料行为数学模型。与以往研究不同的是,我们的工作独特地将玄武岩纤维和纳米石墨烯结合在一起,以提高拉伸、弯曲和冲击强度,从而获得具有最佳机械性能的复合材料。我们通过拉伸、弯曲和冲击试验对研究样品的性能进行了评估,并使用场发射扫描电子显微镜图像对结果进行了证实。这些样品的失效面显示,影响所引入的生物复合材料性能的核心机制是纤维的失效和分离,同时伴随着纤维与基体材料的拉伸。随后,进行了多目标优化,目的是在减轻样品重量的同时提高拉伸强度、弯曲强度和冲击强度。根据设计目标绘制了帕累托图。结果表明,生物复合材料样品在拉伸强度、抗冲击强度和抗弯强度等三种机械特性的最合适状态下的值分别等于 28、90 和 49 兆帕。通过大量的测试和多目标优化,这种创新的组合和优化极大地改善了性能指标,显示出生物复合材料优越的机械特性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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