Title : Modeling and Optimization of Process Parameters in PMEDM by Genetic Algorithm ( Modeling and Optimization of Process Parameters in PMEDM by Genetic Algorithm )
Authors: Farhad Kolahan , ,
Full TextAbstract
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.
Keywords
, Regression modeling, PMEDM, Genetic Algorithm, Optimization
@inproceedings{paperid:1004284,
author = {Kolahan, Farhad and , },
title = {Modeling and Optimization of Process Parameters in PMEDM by Genetic Algorithm},
booktitle = {World Academy of Science, Engineering and Technology- WCEST 2008},
year = {2008},
location = {بانکوک},
keywords = {Regression modeling; PMEDM; Genetic Algorithm; Optimization},
}
%0 Conference Proceedings
%T Modeling and Optimization of Process Parameters in PMEDM by Genetic Algorithm
%A Kolahan, Farhad
%A ,
%J World Academy of Science, Engineering and Technology- WCEST 2008
%D 2008
