OCTOBER 19-20, 2012 - YMCA University of Science & Technology

Proceedings of the National Conference on
Trends and Advances in Mechanical Engineering,
YMCA University of Science & Technology, Faridabad, Haryana, Oct 19-20, 2012
Fig.4 Schematic diagram of USEDM
9. EDM Research
Electrical discharge machining is one of the profitable machining processes used for accurate and high precision
geometry of the work piece. EDM can become more reliable by doing the research on performances to be obtained
by it. Some of the research areas in EDM are shown in Fig.5.
Fig.5 Classification of EDM research
Throughout the paper references have been taken of several researchers in different areas of
EDM research whose study has been published in different proceedings of conferences or in
journals till current times. Their findings have been published in various papers as mentioned in
the references and have contributed enormously to the development of EDM. A few more
current research work are mentioned below.
STarng et al. formulated a neural network model and simulated annealing algorithm in order to
predict and optimize the surface roughness and cutting velocity of the WEDM process when
machining of SUS-304 stainless steel materials. T.A. Spedding and Z.Q.Wang attempted to
model the cutting speed and surface roughness of WEDM process through the response-surface
methodology and artificial neural networks (ANNs) and have found that the model accuracy of
both the approaches were better. Lok et al. presented the finding of processing two advanced
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