Erosion rate model comparison of Electrical Discharge Machining process
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 fro...
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creator | Yahya, A. Andromeda, T. Rahim, M. A. A. Baharom, A. |
description | 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. |
doi_str_mv | 10.1109/ICIAS.2012.6306172 |
format | Conference Proceeding |
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A. A. ; Baharom, A.</creator><creatorcontrib>Yahya, A. ; Andromeda, T. ; Rahim, M. A. A. ; Baharom, A.</creatorcontrib><description>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.</description><identifier>ISBN: 1457719681</identifier><identifier>ISBN: 9781457719684</identifier><identifier>EISBN: 9781457719660</identifier><identifier>EISBN: 1457719673</identifier><identifier>EISBN: 1457719665</identifier><identifier>EISBN: 9781457719677</identifier><identifier>DOI: 10.1109/ICIAS.2012.6306172</identifier><language>eng</language><publisher>IEEE</publisher><subject>Analytical models ; Artificial Neural Network ; Artificial neural networks ; Dimensional Analysis ; Discharges (electric) ; Electrical Discharge Machining ; Electrodes ; Machining ; Materials ; Mathematical model ; MRR</subject><ispartof>2012 4th International Conference on Intelligent and Advanced Systems (ICIAS2012), 2012, Vol.1, p.122-125</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6306172$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6306172$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Yahya, A.</creatorcontrib><creatorcontrib>Andromeda, T.</creatorcontrib><creatorcontrib>Rahim, M. A. A.</creatorcontrib><creatorcontrib>Baharom, A.</creatorcontrib><title>Erosion rate model comparison of Electrical Discharge Machining process</title><title>2012 4th International Conference on Intelligent and Advanced Systems (ICIAS2012)</title><addtitle>ICIAS</addtitle><description>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.</description><subject>Analytical models</subject><subject>Artificial Neural Network</subject><subject>Artificial neural networks</subject><subject>Dimensional Analysis</subject><subject>Discharges (electric)</subject><subject>Electrical Discharge Machining</subject><subject>Electrodes</subject><subject>Machining</subject><subject>Materials</subject><subject>Mathematical model</subject><subject>MRR</subject><isbn>1457719681</isbn><isbn>9781457719684</isbn><isbn>9781457719660</isbn><isbn>1457719673</isbn><isbn>1457719665</isbn><isbn>9781457719677</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1j01OwzAUhI0QElByAdj4Agl-duJnL6sQSqQiFnRfOY7TGuVPdjbcnki0sxnNtxjNEPIMLANg-rUu6-13xhnwTAomAfkNSTQqyAtE0FKyW_J4DQruSRLjD1ulQOWgHsiuClP000iDWRwdptb11E7DbIKPK506WvXOLsFb09M3H-3ZhJOjn8ae_ejHE53DZF2MT-SuM310ycU35PBeHcqPdP-1q8vtPvWaLamAwuS6y7FrnDC61UJgKyRai-jW8UaiRiYwb5hE1fBCOyWFAc5F1woAsSEv_7XeOXecgx9M-D1eros_EjNMDQ</recordid><startdate>201206</startdate><enddate>201206</enddate><creator>Yahya, A.</creator><creator>Andromeda, T.</creator><creator>Rahim, M. A. A.</creator><creator>Baharom, A.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201206</creationdate><title>Erosion rate model comparison of Electrical Discharge Machining process</title><author>Yahya, A. ; Andromeda, T. ; Rahim, M. A. A. ; Baharom, A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-315a49f47fbe3a9d9337d367cc77e172a67970374b0678b259e863a1223fd3113</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Analytical models</topic><topic>Artificial Neural Network</topic><topic>Artificial neural networks</topic><topic>Dimensional Analysis</topic><topic>Discharges (electric)</topic><topic>Electrical Discharge Machining</topic><topic>Electrodes</topic><topic>Machining</topic><topic>Materials</topic><topic>Mathematical model</topic><topic>MRR</topic><toplevel>online_resources</toplevel><creatorcontrib>Yahya, A.</creatorcontrib><creatorcontrib>Andromeda, T.</creatorcontrib><creatorcontrib>Rahim, M. A. A.</creatorcontrib><creatorcontrib>Baharom, A.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Yahya, A.</au><au>Andromeda, T.</au><au>Rahim, M. A. A.</au><au>Baharom, A.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Erosion rate model comparison of Electrical Discharge Machining process</atitle><btitle>2012 4th International Conference on Intelligent and Advanced Systems (ICIAS2012)</btitle><stitle>ICIAS</stitle><date>2012-06</date><risdate>2012</risdate><volume>1</volume><spage>122</spage><epage>125</epage><pages>122-125</pages><isbn>1457719681</isbn><isbn>9781457719684</isbn><eisbn>9781457719660</eisbn><eisbn>1457719673</eisbn><eisbn>1457719665</eisbn><eisbn>9781457719677</eisbn><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.</abstract><pub>IEEE</pub><doi>10.1109/ICIAS.2012.6306172</doi><tpages>4</tpages></addata></record> |
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subjects | Analytical models Artificial Neural Network Artificial neural networks Dimensional Analysis Discharges (electric) Electrical Discharge Machining Electrodes Machining Materials Mathematical model MRR |
title | Erosion rate model comparison of Electrical Discharge Machining process |
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