@article{(Open Science Index):https://publications.waset.org/pdf/6061,
	  title     = {Modeling and Optimization of Process Parameters in PMEDM by Genetic Algorithm},
	  author    = {Farhad Kolahan and  Mohammad Bironro},
	  country	= {},
	  institution	= {},
	  abstract     = {This paper addresses modeling and optimization of process parameters in powder mixed electrical discharge machining (PMEDM). The process output characteristics include metal removal rate (MRR) and electrode wear rate (EWR). Grain size of Aluminum powder (S), concentration of the powder (C), discharge current (I) pulse on time (T) are chosen as control variables to study the process performance. The experimental results are used to develop the regression models based on second order polynomial equations for the different process characteristics. Then, a genetic algorithm (GA) has been employed to determine optimal process parameters for any desired output values of machining characteristics.
},
	    journal   = {International Journal of Mechanical and Mechatronics Engineering},
	  volume    = {2},
	  number    = {12},
	  year      = {2008},
	  pages     = {1319 - 1323},
	  ee        = {https://publications.waset.org/pdf/6061},
	  url   	= {https://publications.waset.org/vol/24},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 24, 2008},
	}