Tool Wear Rate on Inconel 718 using W-Powder Mixed Electric Discharge Drilling
J. Jeevamalar1, R. Vimalraj2, M. Vigneshwaran3, G. Vignesh4
1Dr. J.Jeevamalar*, Associate Professor, Department of Mechanical Engineering, E.G.S. Pillay Engineering College, Nagapattinam, Tamil Nadu, India.
2R.Vimalraj, UG Student, Department of Mechanical Engineering, E.G.S. Pillay Engineering College, Nagapattinam, Tamil Nadu.
3M.Vigneshwaran, UG Student, Department of Mechanical Engineering, E.G.S. Pillay Engineering College, Nagapattinam, Tamil Nadu.
4G.Vignesh, UG Student, Department of Mechanical Engineering, E.G.S. Pillay Engineering College, Nagapattinam, Tamilnadu.
Manuscript received on February 10, 2020. | Revised Manuscript received on March 01, 2020. | Manuscript published on March 10, 2020. | PP: 1431-1435 | Volume-9 Issue-5, March 2020. | Retrieval Number: E2823039520/2020©BEIESP | DOI: 10.35940/ijitee.E2823.039520
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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 Drilling (EDD) is an unconventional manufacturing process with large industrial performances. Addition of powder particles in dielectric changes some process variables and machines hard and hard to cut materials with greater surface finish high tolerance and accuracy to accomplish a superior material removal rate with a reduced Tool Wear Rate (TWR). This research work explores the performance of TWR on Tungsten Powder Mixed Electrical Discharge Drilling (W-PMEDD) on Inconel 718 super alloy. The input machining parameters of Peak Current (Ip ) Pulse on (Ton) and Pulse off time (Toff) and the output measure of TWR were examined by Response Surface Method (RSM). Analysis of Variance was used to evaluate the effect of the machining parameters and it is concluded that Ip, Ton and Toff are the most significant parameters while machining of W-PMEDD on Inconel 718.
Keywords: Inconel 718, Electrical Discharge Drilling, ANOVA, Tool Wear Rate and Response Surface Method.
Scope of the Article: Probabilistic Models and Methods