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Predicting material removal rate of electrical discharge machining (EDM) using artificial neural network for high igap current

Yahya, Azli and Andromeda, Trias and Hisham, Nor and Khalil, Kamal and Erawan, Ade (2011) Predicting material removal rate of electrical discharge machining (EDM) using artificial neural network for high igap current. In: International On Electrical Control And Computer Engineering 2011 (Inecce2011).

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Official URL: http://dx.doi.org/10.1109/INECCE.2011.5953887

Abstract

This article presents a prediction of Material Removal Rate (MRR) in Electrical Discharge Machining (EDM) using Artificial Neural Network (ANN). Experimental data were gathered from Die sinking EDM process for copper-electrode and steel-workpiece. It is aimed to develop a behavioral model using input-output pattern of raw data from EDM process experiment. The behavioral model is used to predict MRR and than the predicted MRR is compared to actual MRR value. The results show good agreement of predicting MRR between them.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:artificial neural network
Divisions:Electrical Engineering
ID Code:46162
Deposited By: Pn Haliza Zainal
Deposited On:10 Jun 2015 03:00
Last Modified:30 Aug 2017 06:43

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