Title of article :
The Influence of EDM Parameters in Finishing Stage on Surface Quality using Artificial Neural Network
Author/Authors :
Amini، S. نويسنده Department of Mechanical Engineering, University of Kashan, Kashan, Iran , , Atefi، R. نويسنده Department of Mechanical Engineering, Dehaghan Branch, Islamic Azad University, Dehaghan, Isfahan, Iran , , Solhjoei، N. نويسنده Department of Mechanical Engineering, Najaf Abad Branch, Islamic Azad University, Isfahan, Iran ,
Issue Information :
فصلنامه با شماره پیاپی 25 سال 2013
Pages :
6
From page :
17
To page :
22
Abstract :
In this work, the influence of different EDM parameters (pulse current, pulse voltage, pulse on-time, pulse off-time) in finishing stage on the surface roughness (Ra) as a result of copper electrode application to a workpiece (cold work steel DIN1.2379) has been investigated. Design of the experiment was chosen as full factorial. Statistical analysis has been done and artificial neural network has been used to choose proper machining parameters in order to reach certain surface roughness. The experiment results indicated a good performance of the proposed method in optimization of such a complex and non-linear problems.
Journal title :
International Journal of Advanced Design and Manufacturing Technology
Serial Year :
2013
Journal title :
International Journal of Advanced Design and Manufacturing Technology
Record number :
1112739
Link To Document :
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