DocumentCode :
3370982
Title :
Erosion rate model comparison of Electrical Discharge Machining process
Author :
Yahya, Azli ; Andromeda, Trias ; Rahim, Muhammad Arif Abdul ; Baharom, Ameruddin
Author_Institution :
Fac. of Electr. Eng., Univ. Teknol. Malaysia, Skudai, Malaysia
Volume :
1
fYear :
2012
fDate :
12-14 June 2012
Firstpage :
122
Lastpage :
125
Abstract :
This paper reports a comparison studies between two erosion rate model and experimental results of an Electrical Discharge Machining (EDM) process for high gap current. Two erosion rate models are Dimensional Analysis (DA) model and Artificial Neural Network (ANN) model that have been summarized from the previous author´s publication. The data analysis is based on a copper electrode and steel workpiece materials. The result indicated that the ANN model provides better accuracy than the DA model when compared to the experimental results.
Keywords :
copper; data analysis; electrical discharge machining; neural nets; production engineering computing; steel; ANN model; Cu; DA model; EDM process; artificial neural network; copper electrode; dimensional analysis model; electrical discharge machining process; erosion rate model comparison; steel workpiece materials; Analytical models; Artificial neural networks; Discharges (electric); Electrodes; Machining; Materials; Mathematical model; Artificial Neural Network; Dimensional Analysis; Electrical Discharge Machining; MRR;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent and Advanced Systems (ICIAS), 2012 4th International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4577-1968-4
Type :
conf
DOI :
10.1109/ICIAS.2012.6306172
Filename :
6306172
Link To Document :
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