用于增强应用的桑蚕丝增强混合复合材料的力学性能表征

Rajesh Saha , Syed Abrer Nafis Uddin Ahmed , Saquib Jamil , Md. Rezaul Karim , Adib Bin Rashid
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引用次数: 0

摘要

本研究在实验和模拟测试中探索了两种混合复合材料的有效性,即模式-1(K-M-G-K-M-G-G-M-K)和模式-2(K-M-G-K-M-G-K-M-G),以创建一种具有成本效益的混合复合材料。这种复合材料包括桑蚕丝(M)纤维,用于增强环氧树脂基质与凯夫拉纤维(K)和玻璃纤维(G)的混合材料。通过实验测试对模式-1 和模式-2 进行了评估,并进行了模拟测试以验证结果。ANSYS Workbench 用于模拟测试,以确定保护齿轮、航空航天部件、汽车部件、运动器材和船舶应用的最佳堆叠顺序。使用扫描电子显微镜(SEM)检查了混合复合材料的结构形态。结果表明,在各种实验和模拟测试中,图案-1 的性能均优于图案-2,其拉伸测试应力-应变曲线的塑性区更宽,拉伸强度更高(73 兆帕和 67.923 兆帕),承载能力更强,延展性更好。模式-1 在抗弯强度(45.35 兆帕和 71.474 兆帕)和冲击强度(6 焦耳和 5.4898 焦耳)方面的性能也有所提高。模拟结果证实,在能量吸收和抗子弹穿透方面,图案-1 优于图案-2。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mechanical characterization of mulberry silk reinforced hybrid composite for enhanced application

This research explores the effectiveness of two hybrid composites, pattern-1 (K-M-G-K-M-G-G-M-K) and pattern-2 (K-M-G-K-M-G-K-M-G), in experimental and simulation tests to create a cost-efficient hybrid composite. The composite includes Mulberry (M) silk (Bombyx mori) fibers reinforcing an epoxy resin-matrix hybrid with Kevlar (K) and Glass fiber (G). Both pattern-1 and pattern-2 are evaluated through experimental tests, and simulation tests are conducted to validate the findings. ANSYS Workbench is used for simulation tests to determine the best stacking sequence for protective gears, aerospace components, automotive parts, sport equipment and marine applications. The structural morphology of the hybrid composites is examined using scanning electron microscope (SEM). The results show that pattern-1 performs better than pattern-2 in various experimental and simulation tests, with a wider plastic zone in the tensile test stress-strain curve, greater tensile strength (73 MPa and 67.923 MPa), higher load-bearing capacity, and enhanced ductility. Pattern-1 also demonstrates improved performance in flexural strength (45.35 MPa and 71.474 MPa) and impact strength (6 J and 5.4898 J). Simulation results confirm that pattern-1 is superior to pattern-2 in terms of energy absorption and resistance to bullet penetration.

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CiteScore
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