Optimization of Electrical Discharge Machining ( E D M ) Process Parameters Using Soft Computing Techniques : a Review
ABSTRACT
Electric Discharge Machining (EDM) is a thermo-electric non-traditional machining process in which material removal takes place through the process of controlled spark generation between a pair of electrodes which are submerged in a dielectric medium. Due to the difficulty of EDM, it is very complicated to determine optimal process parameters for improving machining performance. It relies on heuristics, which are not easy to model, and based on the experiences of specialists. A proper selection of machining parameters for the EDM process as per the operator’s requirement is very much difficult because of their numerous and diverse range. So, in order to approximate the EDM performances, -------------------------------------------------
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KEYWORDS
optimization, electrical discharge machining, soft computing, artificial neural network, fuzzy logic, evolutionary algorithms,
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Electric Discharge Machining (EDM) is a thermo-electric non-traditional machining process in which material removal takes place through the process of controlled spark generation between a pair of electrodes which are submerged in a dielectric medium. Due to the difficulty of EDM, it is very complicated to determine optimal process parameters for improving machining performance. It relies on heuristics, which are not easy to model, and based on the experiences of specialists. A proper selection of machining parameters for the EDM process as per the operator’s requirement is very much difficult because of their numerous and diverse range. So, in order to approximate the EDM performances, -------------------------------------------------
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KEYWORDS
optimization, electrical discharge machining, soft computing, artificial neural network, fuzzy logic, evolutionary algorithms,
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