Optimization of EDM Process Parameters on MRR & TWR of Tungsten Carbide by Taguchi Method
Kamalkishor G. Maniyar1, Roshan V. Marode2, S. B. Chikalthankar3
1Kamalkishor G. Maniyar, Associate Professor, Department of Mechanical Engineering, Mauli Group of Institution’s, College of Engineering & Technology, Shegaon (Maharashtra), India.
2Roshan V. Marode, Assistant Professor, Department of Mechanical Engineering, Mauli Group of Institution’s, College of Engineering & Technology, Shegaon (Maharashtra), India.
3Dr. S. B. Chikalthankar, Associate Professor, Department of Mechanical Engineering, Government College of Engineering, Aurangabad, (Maharashtra), India.
Manuscript received on 15 February 2016 | Revised Manuscript received on 25 February 2016 | Manuscript Published on 28 February 2016 | PP: 112-116 | Volume-5 Issue-3, February 2016 | Retrieval Number: C4446025316/16©BEIESP
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© The Authors. 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: Electrical discharge machining (EDM) is a process for shaping hard metals and forming deep complex shaped holes by arc erosion in all kinds of electro-conductive materials. The objective of this research is to study the influence of operating parameters current, voltage and pulse on time on material removal rate (MRR) and tool wear rate (TWR) in EDM of Tungsten carbide. The effectiveness of EDM process with tungsten carbide is evaluated in terms of the material removal rate and tool wear rate produced. It is observed that copper is most suitable for use as the tool electrode in EDM of Tungsten carbide. In this research, trials are conducted on Tungsten carbide to observe the influence of the parameters such current, voltage and pulse on time on output characteristic MRR and TWR. The experiments are conducted by using Taguchi, DOE technique and analysis is confirmed by ANOVA and regression method. This study presented the optimal machining condition which can be used for maximize MRR and minimize TWR. The tests are confirmed by confirmation test and results are validated mathematical analysis.
Keywords: ANOVA Analysis, EDM Parameters, Material Removal Rate, Tool Wear Rate, Taguchi Method
Scope of the Article: Predictive Analysis