Experimental and Statistical Evaluation of the Mechanical Performance of (Jute and Cocopeat) Plant and (Silk) Animal-based Hybrid Fibers Reinforced with Epoxy Polymers

ABSTRACT

In India, research on the development of new composite materials is extensively increased. In the present study, composites are developed with the renewable materials of plant and animal-based natural fibers. The present study will lead to the experimental and statistical investigation of the composite produced with a combination of plant-based natural fibers, i.e., jute and coco peat powder with the animal-based natural fibers, i.e., silk. In the present study, jute and silk were utilized as reinforcement material, cocopeat powder as a filler material (5%), and epoxy resin as matrix material (35%). The composites were prepared with the varying composition of reinforcement material, and also the filler and matrix material were kept constant. Furthermore, mechanical properties such as tensile, flexural, and impact tests were performed on the developed composites. Further, a comparative study was drawn on the mechanical test results of tensile and flexural strength of the composite using power and polynomial regression model. The regression coefficient (R²) was used to study the correlation between the experimental and predicted values. The results showed that the polynomial regression is the best suitable mathematical model than the power regression model for predicting the composites’ tensile and flexural test performance.

摘要

在印度, 开发新型复合材料的研究正在广泛增加。在本研究中, 复合材料是以植物和动物为基础的天然纤维可再生材料开发的. 本研究将对以植物为基础的天然纤维(即黄麻和椰子泥炭粉)与以动物为基础的天然纤维(即丝绸)的组合生产的复合材料进行实验和统计研究. 在本研究中, 黄麻和蚕丝被用作增强材料, 椰油粉作为填充材料(5%), 环氧树脂作为基体材料(35%). 通过改变增强材料的组成, 并保持填料和基体材料的恒定, 制备了复合材料. 此外, 还对开发的复合材料进行了拉伸、弯曲和冲击等力学性能测试. 此外, 利用幂函数和多项式回归模型对复合材料的拉伸和弯曲强度的力学试验结果进行了对比研究. 回归系数(R2)用于研究实验值和预测值之间的相关性. 结果表明, 多项式回归模型比幂回归模型更适合预测复合材料的拉伸和弯曲性能.

KEYWORDS:

• Natural fibers
• composite
• mechanical performance
• regression
• power
• polynomial

关键词:

• 天然纤维
• 混合成
• 机械性能
• 回归
• 权力
• 多项式的

Disclosure statement

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

Correction Statement

This article has been republished with minor changes. These changes do not impact the academic content of the article.