Abstract
Parametric optimization of electric discharge machining (EDM) process is a multi-objective optimization task. In general, no single combination of input parameters can provide the best cutting speed and the best surface finish simultaneously. Genetic algorithm has been proven as one of the most popular multi-objective optimization techniques for the parametric optimization of EDM process. In this work, controlled elitist non-dominated sorting genetic algorithm has been used to optimize the process. Experiments have been carried out on die-sinking EDM by taking Inconel 718 as work piece and copper as tool electrode. Artificial neural network (ANN) with back propagation algorithm has been used to model EDM process. ANN has been trained with the experimental data set. Controlled elitist non-dominated sorting genetic algorithm has been employed in the trained network and a set of pareto-optimal solutions is obtained.
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Pushpendra S. Bharti received his B.Sc. Engg. in Mechanical Engineering from D.E.I. Agra, India. He did his M.E. in production engineering from Motilal National Institute of Technology, Allahabad, India. He is working with G.G.S.Indraprastha University, Delhi, India as Assistant Professor. He has submitted his Ph.D thesis on optimization of process parameters of EDM. His research area includes non-conventional machining and manufacturing automation.
Sachin Maheshwari is working as Professor & Head, MPAE division, Netaji Subhas Institute of Technology, Delhi, India. He received his Ph.D from Indian Institute of Technology, Delhi and M.Tech. from Indian Institute of Technology, Roorkee, India after graduating from Motilal Nehru National Institute of Technology, Allahabad, India. His current research interest includes conventional, non-conventional, hybrid manufacturing processes and manufacturing automation.
Chitra Sharma is Associate Professor and Head at Department of MAE, Indira Gandhi Institute of Technology, Delhi, India. She received her Ph.D from Indian Institute of Technology, Delhi. India. Her current research interest include conventional, nonconventional manufacturing processes, computer aided manufacturing.
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Bharti, P.S., Maheshwari, S. & Sharma, C. Multi-objective optimization of electric-discharge machining process using controlled elitist NSGA-II. J Mech Sci Technol 26, 1875–1883 (2012). https://doi.org/10.1007/s12206-012-0411-x
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DOI: https://doi.org/10.1007/s12206-012-0411-x