An Investigation on Effect of Inorganic Reinforcement Materials and Taguchi-Based Optimization on Manufacturing of Hybrid Composites (AI7068)

Author:

Hemanth Kumar R.1,Venkatachalapathy V.S.K.2,Arumugam Thiagarajan3,LAZAR MARTIN3

Affiliation:

1. Sri Manakula Vinayagar Educational Trust, Mechanical Enginee

2. Sri Manakula Vinayagar Engineering College

3. Sri Manakula Vinayagar Educational Trust

Abstract

<div class="section abstract"><div class="htmlview paragraph">A crucial characteristic of composites, which are manufactured from elements of metal, is their mechanical and durability properties. A variety of reinforcing agents and metal nanoparticles are used to create aluminum-based hybrid metal-material composites. These composites are an advantageous alternative for sectors with limited resources because of their robustness, wear resistance, and thermal management capabilities. Manufacturing sectors employ Taguchi optimisation and Grey relational analysis to enhance the mechanical and durability properties of aluminum-based hybrid metal composites. To comprehend the interrelationships between reinforcing materials such as Al<sub>2</sub>O<sub>3</sub> and SiC at constant fly ash concentration, five responses such as wear loss, tensile strength, elongation rate, impact strength, and hardness were considered and assessed. The Grey Relational Analysis (GRA) method is used to optimise these responses and transform them into Grey Relational Grade (GRG). The Grey Relational Grade (GRG) Analysis of Variance (ANOVA) results were supplemented by a regression-based ANOVA analysis. SiC (p value - 0.024) and Al<sub>2</sub>O<sub>3</sub> (p value - 0.029) have been demonstrated to be statistically significant in this situation. It was determined that the correlation coefficient (R<sup>2</sup>), adjusted correlation coefficient (Adj R<sup>2</sup>), Fischer's value (F-value), and probability value (p-value for the probabilistic variables were found to be 81.43%, 70.29%, 7.31, and 0.028, respectively. All of the results have been deemed satisfactory and fall within the recommended ranges. However, to confirm the model's fit, a validation experimental run based on run 06 conditions (A<sub>1</sub>B<sub>1</sub>C<sub>1</sub>) was performed. The experimental grade that was predicted turned out to be 0.971. It was concluded that engineers can fabricate an incredibly low combination of reinforcement materials and applied load, Taguchi optimisation produces robust composite with minimal wear loss, elongation rate, greater hardness, and tensile strength.</div></div>

Publisher

SAE International

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