Open AccessEffect of input parameters on MRR and EWR for tool steel AISI L2 by electric discharge machine (EDM)
Author(s) -
Shukry H. Aghdeab,
Raed R. Shwaish,
Tahseen M. Salman
Publication year - 2021
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/1076/1/012071
Subject(s) - electrical discharge machining , spark (programming language) , peak current , current (fluid) , process (computing) , pulse (music) , spark gap , parametric statistics , electric discharge , electric machine , mechanical engineering , materials science , engineering , electrode , metallurgy , voltage , machining , computer science , electrical engineering , mathematics , statistics , physics , quantum mechanics , stator , electrochemistry , programming language , operating system
Electric discharge machine (EDM) or may be call electric spark machine is one of most important of cutting process or manufacturing process because it give high accurate dimension and can be product most complex shape. In this present material removal rate (MRR) and electrode wear rate (EWR) for tool steel AISI L2 was study. The input parametric for this process is current, pulse on time and pulse off time. Full factorial method is used to formulate machine parameters and find the optimal process parameters of electric spark. The result show that the MRR is increasing with increasing in current and pulse on time while EWR is decreasing when current and pulse on time is increase. The experimented and predicted values of this process are approximately equal.