Yahya, Azli and Khamis, Nor Hisham and Khalil, Kamal and Erawan, Ade and Andromeda, Trias (2011) Predicting material removal rate of Electrical Discharge Machining (EDM) using artificial neural network for high Igap current. In: InECCE 2011 - International Conference on Electrical, Control and Computer Engineering. IEEE Explorer, Pahang, Malaysia, 259 - 262. ISBN 978-1-61284-229-5
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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: | Book Section |
|---|---|
| Uncontrolled Keywords: | electrical discharge machining(EDM), material removal rate(MRR), predicting, artificial neural network(ANN) |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Electrical Engineering |
| ID Code: | 29317 |
| Deposited By: | INVALID USER |
| Deposited On: | 13 Mar 2013 02:26 |
| Last Modified: | 05 Feb 2017 00:10 |
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