Multi-objective Optimization of Edm Process: Rsm Modeling and Genetic Algorithm Approach
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چکیده
Electric Discharge Machining (EDM) is one of the machining process, which is used to produce critical shape on any type of hard or brittle conductive material and it can also be well applied for materials that are impossible to machine with traditional machining processes. The present work mainly demonstrates the optimisation process of multiple responses i. e. MRR, TWR and OC of EDM by using genetic algorithm (GA). The primary experiments were conducted on Electronica Electraplus PS 50ZNC die sinking machine. GA has been conventionally applied to single-objective optimisation problems. The optimal process parameter setting form the composite function optimisation of GA is found to be Ip= 5A, Ton= 150μs, Tw= 1 and Tup= 0s. The experimental values of MRR, TWR and OC is found to be 11.0658 mm/min, 0.055988 mm/min and 0.1934 mm respectively from this optimal input parameter combination.
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