Characterization and performance evaluation of nylon-66 composite at various composition of carbon fibers and GNP reinforcement

Author:

Nag Mukesh Kumar1ORCID,Shrivastava Abhishek2ORCID

Affiliation:

1. Department of Mechanical Engineering, National Institute of Technology Jamshedpur, Jharkhand, India

2. Department of Mechanical Engineering, VIT Bhopal University, Sehore, India

Abstract

Recycled reinforcements are being utilized more and more to make sustainable composites for load-bearing structural applications, which now dominate the key transportation industries, because they have lower environmental impact than virgin fiber manufacturing and are also less expensive. In order to improve the mechanical properties of composites, a combination of recycled carbon fibers (rCF) and waste tire-derived graphene nanoplatelets (GNP) with oxygen surface functional groups was used as reinforcement for the nylon-66 matrix. The alignment of the rCF and GNP during the injection molding process was monitored using numerical methods in conjunction with the rheological behavior of the compounds. The effective dispersion of the rCF and GNP was obtained using high shear mixing. In contrast, the flexural modulus and strength of the 20% rCF-0.3% GNP reinforced nylon-66 composites increased by 86% and 35%, respectively, while the tensile strength and modulus improved by 43% and 95%. Further, the addition of 0.3% GNP to the composition resulted in a 7.7% increase in Charpy notched impact energy compared to the 20% rCF composite. Moreover, the flow model developed to study the injection molding process of rCF/GNP reinforced composite using the fiber aspect ratio and distribution in the compounds described fiber alignment and provided insight into mechanical strengthening mechanisms.

Publisher

SAGE Publications

Subject

Materials Chemistry,Polymers and Plastics,Mechanical Engineering,Mechanics of Materials,Ceramics and Composites

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3