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Research Article

Low-Velocity Impact and Compression after Impact Properties of Hemp and Jute Fiber Reinforced Epoxy Composites

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Pages 12309-12324 | Published online: 18 Apr 2022
 

ABSTRACT

This paper presents an experimental study on the low-velocity impact behavior of hemp and jute fiber-reinforced epoxy composite. The Compressive After Impact (CAI) properties of composites post-impact are used for analysis. The type of damage and area of damage is used to analyze the effectiveness of composites for variation in impact energy. The impacted composite specimens were subjected to Compression After the Impact (CAI) test. A two-factor, five-level Central Composite Design (CCD) model of response surface methodology (RSM) is used to analyze the effect of input variables on ultimate load and thereby obtain the optimized input conditions for damage. The experimental results were optimized using Derringer’s Desirability function. The results indicate that jute laminates show a better impact energy absorption capability than hemp laminate composites. From the study, it was observed that the CAI strength of jute/epoxy composite was high compared to hemp/epoxy composite and the jute/epoxy composite exhibited enhanced CAI properties of the composite. From the regression equations and the three-dimensional response surface plots obtained from CCD, optimized ramp values were obtained. The optimized ultimate load of hemp and jute fiber laminate was 5.90 MPa and 10.68 MPa, respectively.

摘要

本文对大麻和黄麻纤维增强环氧树脂复合材料的低速冲击性能进行了实验研究. 采用冲击后复合材料的压缩后压缩(CAI)特性进行分析. 损伤类型和损伤面积用于分析复合材料对冲击能量变化的有效性. 冲击(CAI)试验后,对受冲击复合材料试样进行压缩. 采用响应面法(RSM)的两因素五水平中心复合材料设计(CCD)模型,分析输入变量对极限载荷的影响,从而获得损伤的最佳输入条件. 利用德林格期望函数对实验结果进行了优化. 结果表明,黄麻层压板比大麻层压板具有更好的冲击能量吸收能力. 研究发现,与大麻/环氧树脂复合材料相比,黄麻/环氧树脂复合材料的CAI强度较高,且黄麻/环氧树脂复合材料的CAI性能增强. 根据回归方程和CCD获得的三维响应面图,获得了优化的斜坡值. 大麻和黄麻纤维层合板的优化极限载荷分别为5.90MPa和10.68MPa.

Acknowledgments

The authors would like acknowledge to the Science and Engineering Research Board (SERB) and Department of Science and Technology (DST), India for the support.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This research was financially supported by the Department of Science and Technology, India [Grant number ECR/2017/000512].

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