چکیده مقاله
Electrical discharge machining EDM is one of the most important non traditional machining processes The important process parameters in this technique are discharge pulse on time, discharge pulse off time and gap current The values of these parameters significantly affect such machining outputs as material removal rate and electrodes wear In this paper, the mathematical relationships between input and output parameters of EDM are established using regression method and the best set of models is chosen Genetic Algorithm is then used to optimally determine input parameters levels in order to obtain any desired set of outputs
کلیدواژهها
نویسندگان
فرهاد کلاهان
Department of Mechanical Engineering, Ferdowsi University of Mashhad
Hossein Bahrami
MS student, Faculty of Mechanical Engineering, Ferdowsi University of Mashhad
Ehsan Naghibi
BS graduate, Faculty of Mechanical Engineering, Ferdowsi University of Mashhad
Hamed Yazdani
MS student, Faculty of Mechanical Engineering, Ferdowsi University of Mashhad
شیوه ارجاع
Kolahan, Farhad and Bahrami, Hossein and Naghibi, Ehsan and Yazdani, Hamed,1388,A stochastic approach to modeling and optimization of EDM machining parameters using Genetic Algorithm,10th Iranian Conference on Manufacturing Engineering (ICME 2010),Babol
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