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Experimental investigation and multi-objective optimization of multiple mechanical characteristics for chemically treated kenaf fibre reinforced epoxy composite using grey fuzzy logic
Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications ( IF 2.4 ) Pub Date : 2021-09-13 , DOI: 10.1177/14644207211042995
Swati Gangwar 1 , Neelesh Kumar Dubey 2 , Vimal Kumar Pathak 3
Affiliation  

In the present work, chemically treated kenaf fibre (10, 20 and 30 wt. %) reinforced epoxy resin composite formulations were fabricated using hand lay-up technique. The prepared composites were mechanically characterized using Taguchi L27 experimental design to examine the influence of varying kenaf fibre wt. %, NaOH concentration % for chemical treatment, and fibre immersion duration. The grey-fuzzy optimization approach was utilized for optimizing prepared formulations mechanical properties such as tensile strength, impact strength and flexural strength. Further, analysis of variance (ANOVA) tests and response graphs were utilized for delivering model significance and determining the percentage contribution of input variables. The NaOH concentration % was found to be most significant parameter followed by kenaf wt. % in providing best mechanical properties of chemically treated kenaf fibre reinforced epoxy composites.



中文翻译:

基于灰色模糊逻辑的化学处理红麻纤维增强环氧复合材料多力学特性的试验研究及多目标优化

在目前的工作中,化学处理的洋麻纤维(10、20 和 30 重量%)增强环氧树脂复合材料配方是使用手糊技术制造的。使用 Taguchi L 27对制备的复合材料进行机械表征实验设计来检查不同洋麻纤维重量的影响。%,化学处理的 NaOH 浓度 %,以及纤维浸泡时间。灰色模糊优化方法用于优化制备的配方机械性能,如拉伸强度、冲击强度和弯曲强度。此外,方差分析 (ANOVA) 测试和响应图用于提供模型显着性和确定输入变量的百分比贡献。发现 NaOH 浓度 % 是最重要的参数,其次是洋麻重量。% 在提供化学处理的洋麻纤维增强环氧树脂复合材料的最佳机械性能方面。

更新日期:2021-09-13
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