Optimization of Process Parameters in Electrical Discharge Machining of EN 8 Steel by Using Taguchi Technique
L. Feroz Ali1, N. Kuppuswamy2, Babu Narayanan3, Sree Hari4, Swasthik Vellingiri5

1L. Feroz Ali, Assistant Professor, Department of Mechatronics Enginering, Sri Krishna College of Engineering and Technology, Coimbatore (Tamil Nadu), India.
2Dr. N.Kuppuswamy, Professor, Department of Mechanical Enginering, Kalaignar Karunanidhi Institute of Technology, Coimbatore (Tamil Nadu), India.
3Babu Narayanan, Assistant Professor, Department of Mechanical Enginering, Sri Krishna College of Engineering and Technology, Coimbatore (Tamil Nadu), India.
4Sree Hari, UG Student, Department of Mechatronics Enginering, Sri Krishna College of Engineering and Technology, Coimbatore (Tamil Nadu), India.
5Swasthik Vellingiri, UG Student, Department of Mechatronics Enginering, Sri Krishna College of Engineering and Technology, Coimbatore (Tamil Nadu), India.

Manuscript received on 01 May 2019 | Revised Manuscript received on 15 May 2019 | Manuscript published on 30 May 2019 | PP: 2507-2511| Volume-8 Issue-7, May 2019 | Retrieval Number: F3950048619/19©BEIESP
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Abstract: This current work aims at determination of the best process parameter in electric discharge machining (EDM) of EN 8 alloy steel using Taguchi Technique. Experimental study was carried out as per L9 orthogonal array of design of experiment with an intention of saving time and reduction of the experimental runs. Since this study involves the multiple-characteristics results such as material removal rate (MRR), electrode wear rate (EWR) and surface roughness. Results of Analysis of variance (ANOVA) reveal that MRR and EWR have significantly improved. Eventually authentication test was being done for better understanding the effectiveness of this planned method.
Keyword: Material Removal Rate, Electrode Wear Rate, Surface Roughness, EN 8 Alloy Steel, Taguchi, Optimization, EDM.
Scope of the Article: Waveform Optimization for Wireless Power Transfer