Predicting material removal rate of Electrical Discharge Machining (EDM) using artificial neural network for high Igap current

Predicting material removal rate of Electrical Discharge Machining (EDM) using artificial neural network for high Igap current

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 inpu...

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Main Authors: Yahya, Azli, Khamis, Nor Hisham, Khalil, Kamal, Erawan, Ade, Andromeda, Trias
Format: Book Section
Published: IEEE Explorer 2011
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/29317/
http://dx.doi.org/10.1109/INECCE.2011.5953887
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Institution: Universiti Teknologi Malaysia
id my.utm.29317
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spelling my.utm.293172017-02-05T00:10:33Z http://eprints.utm.my/id/eprint/29317/ Predicting material removal rate of Electrical Discharge Machining (EDM) using artificial neural network for high Igap current Yahya, Azli Khamis, Nor Hisham Khalil, Kamal Erawan, Ade Andromeda, Trias TK Electrical engineering. Electronics Nuclear engineering 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. IEEE Explorer 2011 Book Section PeerReviewed 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 http://dx.doi.org/10.1109/INECCE.2011.5953887 10.1109/INECCE.2011.5953887
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Yahya, Azli
Khamis, Nor Hisham
Khalil, Kamal
Erawan, Ade
Andromeda, Trias
Predicting material removal rate of Electrical Discharge Machining (EDM) using artificial neural network for high Igap current
description 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.
format Book Section
author Yahya, Azli
Khamis, Nor Hisham
Khalil, Kamal
Erawan, Ade
Andromeda, Trias
author_facet Yahya, Azli
Khamis, Nor Hisham
Khalil, Kamal
Erawan, Ade
Andromeda, Trias
author_sort Yahya, Azli
title Predicting material removal rate of Electrical Discharge Machining (EDM) using artificial neural network for high Igap current
title_short Predicting material removal rate of Electrical Discharge Machining (EDM) using artificial neural network for high Igap current
title_full Predicting material removal rate of Electrical Discharge Machining (EDM) using artificial neural network for high Igap current
title_fullStr Predicting material removal rate of Electrical Discharge Machining (EDM) using artificial neural network for high Igap current
title_full_unstemmed Predicting material removal rate of Electrical Discharge Machining (EDM) using artificial neural network for high Igap current
title_sort predicting material removal rate of electrical discharge machining (edm) using artificial neural network for high igap current
publisher IEEE Explorer
publishDate 2011
url http://eprints.utm.my/id/eprint/29317/
http://dx.doi.org/10.1109/INECCE.2011.5953887
_version_ 1643648275339804672

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