Using Taguchi approach for optimizing mechanical properties of hybrid laminates nanocomposite

Author:

Hamed Mashhadzadeh Amin1,Fereidoon Abdolhossein1,Rostamiyan Yasser2,Khatibi Mohammad Mahdi1,Mohammadi Mohammad Reza1,Nikjoo Ali2

Affiliation:

1. Faculty of Mechanical Engineering, Semnan University, Semnan, Iran

2. Department of Mechanical Engineering, Sari branch, Islamic Azad University, Sari, Iran

Abstract

In current study, two kinds of nano-composites were prepared and the effect of input parameters on impact properties of desired hybrid nano-composites was investigated. Carbon fiber orientation, nano-clay content, and carbon nano-tube content were selected as input parameters in one set and carbon fiber orientation, nano-clay content, and nano-SiO2 content were the input parameters of the other set of prepared nano-composites. Taguchi design was used for design of experiments and analyzing results. The obtained results show that the maximum value of impact strength for both of nano-composites occurred in the design level 2 with 0 degree of fiber orientation, 1.5 wt% of nano-clay, 1 wt% of nano-SiO2, and 1 wt% of carbon nano-tube and the magnitude of impact strength for nano-clay/carbon nano-tube and nano-clay/nano-SiO2 was 6.6 kJ/m2 and 6.3 kJ/m2, respectively. From analysis of variance, it was clear that all of the input variables had reverse effect on impact response except the nano-clay. The carbon fiber orientation had the greatest effect and the effect of carbon nano-tube was higher than nano-SiO2 according to its probability value. Also mechanical plots show that, the optimum level of input variables of hybrid nano-composites reached higher values of impact strength compared with pure epoxy and binary nano-composites.

Publisher

SAGE Publications

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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