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Abstract
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Article Information:
The Investigation of EDM Parameters on Electrode Wear Ratio
Reza Atefi, Navid Javam, Ali Razmavar and Farhad Teimoori
Corresponding Author: Reza Atefi
Submitted: December 09, 2011
Accepted: January 04, 2012
Published: May 15, 2012 |
Abstract:
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Electrical Discharge Machining (EDM) is a well-established machining option for manufacturing
geometrically complex or hard material parts that are extremely difficult-to-machine by conventional machining
processes. The non-contact machining technique has been continuously evolving from a mere tool and die
making process. In this study, the influence of different electro discharge machining parameters (current, pulse
on-time, pulse off-time, arc voltage) on the electrode wear ratio as a result of application copper electrode to
hot work steel DIN1.2344 has been investigated. Design of the experiment was chosen as full factorial.
Artificial neural network has been used to choose proper machining parameters and to reach certain electrode
wear ratio. Finally a hybrid model has been designed to reduce the artificial neural network errors. The
experiment results indicated a good performance of proposed method in optimization of such a complex and
non-linear problems.
Key words: Artificial Neural Network (ANN), Electrical Discharge Machining (EDM), electrode wear ratio, hybrid model, , ,
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Cite this Reference:
Reza Atefi, Navid Javam, Ali Razmavar and Farhad Teimoori, . The Investigation of EDM Parameters on Electrode Wear Ratio. Research Journal of Applied Sciences, Engineering and Technology, (10): 1295-1299.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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