An Experimental Investigation of Process Optimization of EDM for Newly Developed Aluminium Metal Matrix Composites

Author:

Kumar Jatinder1,Singh Gurpreet2,Kumar Santosh3

Affiliation:

1. Department of Mechanical Engineering, Modern Group of Colleges, Mukerian, Punjab, India

2. Department of Mechanical Engineering, St. Soldier Institute of Engineering and Technology, Jalandhar, Punjab, India

3. Department of Mechanical Engineering, Chandigarh Group of Colleges, Landran, Mohali, Punjab, India

Abstract

The aim of this investigation is to investigate the contribution of controllable input parameters (viz. pulse on times, peak currents) on the performance of two newly developed MMCs (Al-8.5%SiC-1.5%Mo and Al-7%SiC-3%Mo). Both the metal matrix composites were fabricated using the stir-casting method. Thereafter, various tests such as microhardness test, tensile test, and porosity analysis of the newly developed composite were performed. To carry out the machining trials, an L18 orthogonal array (OA) was chosen. Optimization of the machining process was performed according to Taguchi analysis followed by grey relational analysis (GRA). The results showed that with increasing weight fraction of the molybdenum particulates, microhardness and density of the composites increase with a small reduction in the tensile strength. In addition, pulse on time is the most contributing parameter among others to obtain optimal process performance. The optimum setting of input variables suggested by GRA to obtain optimal responses is a molybdenum composition of 3%, Pulse on time of 70 µs, and a peak current of 9A. Based on the interaction plot, it is evident that process performance measures of EDM depend on controllable input parameters.

Publisher

BENTHAM SCIENCE PUBLISHERS

Reference55 articles.

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