Analysis of Response Variables in ECM of Aluminium Metal Matrix Composite (Al, SiC) using DoE and GRA Method
Sandeep Kumar1, Bedasruti Mitra2, S. Dhanabalan3
1Sandeep Kumar, Dept of Mechanical Engineering, Anna University, Chennai (T.N.), India.
2Bedasruti Mitra, Assistant System Engineer, TCS, Hyderabad, India.
3Dr. S. Dhanabalan, Faculty of Mechanical Engineering, M. Kumarasamy College of Engineering, Karur (T.N.), India.
Manuscript received on October 02, 2018. | Revised Manuscript received on October 15, 2018. | Manuscript published on October 30, 2018. | PP: 1-8 | Volume-5 Issue-10, October 2018. | Retrieval Number: J12701051018
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Al-SiC is one of the widely accepted MMC having specific properties like wear and impact resistance. This composite shows difficulty while machining with modern machining processes due to various reasons such as higher surface roughness, tool wear rate and machining cost. In recent years, the need for light weight MMCs products are becoming more valuable in aerospace, electronics, nuclear power plants and defence industries because of their specific properties. The machining of MMCs is a big concern and still an area of research. In this experimental work, ECM has been selected for machining of Al-SiC composite to get better product quality & satisfactory machining characteristics. The voltage, feed rate and electrolyte concentration were selected as process constraints to conduct experimental trials. The SR, radial over cut and MRR were considered as output responses. The experimental outcomes were optimized by multi-parametric optimization using DoE and Grey relational analysis method. The optimized parameters by multi-parametric optimization showed the considerable improvement in the process.
Keywords: Electrochemical Machining, Al-SiC, SR, ROC, MRR, Grey Relational Analysis.