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2012 (Vol. 4, Issue: 10)
Article Information:

The Influence of EDM Parameters in Finishing Stage on Surface Quality, MRR and EWR

Reza Atefi, Navid Javam, Ali Razmavar and Farhad Teimoori
Corresponding Author:  Reza Atefi 

Key words:  Artificial Neural Network (Ann), Electrical Discharge Machining (EDM), electrode wear ratio, material removal rate, surface quality, ,
Vol. 4 , (10): 1287-1294
Submitted Accepted Published
December 09, 2011 December 26, 2011 May 15, 2012
Abstract:

The adequate selection of manufacturing conditions is one of the most important aspects to take into consideration in the die-sinking Electrical Discharge Machining (EDM) of conductive martial, as these conditions are the ones that are to determine such important characteristics as: surface roughness, Electrode Wear Ratio (EWR) and Material Removal Rate(MRR), among others. In this research, the influence of different EDM parameters (current, pulse on-time, pulse off-time, arc voltage) on the surface quality ,material removal rate and electrode wear ratio as a result of application copper electrode to cold work steel DIN1.2379 has been investigated. Design of the experiments was chosen full factorial in finishing stage. Finally, the artificial neural network has been employed to predict the surface quality, material removal rate and electrode wear ratio. The experiment results indicated a good performance of proposed method in optimization of such a complex and non-linear problems.
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  Cite this Reference:
Reza Atefi, Navid Javam, Ali Razmavar and Farhad Teimoori, 2012. The Influence of EDM Parameters in Finishing Stage on Surface Quality, MRR and EWR.  Research Journal of Applied Sciences, Engineering and Technology, 4(10): 1287-1294.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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