Open AccessProcess parameter optimization on EN8 steel in Electric Discharge Machining (EDM) using Response Surface Methodology (RSM) Technique
Author(s) -
S. Ganapathy,
M. Palanivendhan,
P. Balasubramanian,
M. Suresh
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/993/1/012134
Subject(s) - electrical discharge machining , machining , response surface methodology , mechanical engineering , electric discharge , work (physics) , materials science , design of experiments , voltage , process (computing) , computer science , engineering , mathematics , statistics , electrode , electrical engineering , chemistry , machine learning , operating system
Electric discharge machining (EDM) is widely used in the manufacturing sector due to its exceptional machining attributes and high fastidiousness, which could not be accomplished via other conventional machining. The research work aims at analyzing the optimal machining parameter and to reduce the machining time by varies in an increase material removal rate (MRR) and productivity and low tool wear rate (TWR). The parameters of Peak current, Pulse on time, Di-Electric Pressure and Tool diameter are varied. The usage of variance analysis (ANOVA) optimized parameters are determined by way of doing diverse dry runs the usage of Response Surface Methodology (RSM) approach and the mistake percent can be mounted and parameter contribution for MRR and TWR have been also observed.