Surface roughness modeling for CNC end milling using artificial neural network
This research presents the effect of high cutting speed on the surface roughness in the end milling process by using the Artificial Neural Network (ANN). An experimental investigation was conducted to measure the surface ro ughness for end milling. A set of sparse experimental data for finish en...
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my.iium.irep.328162013-11-19T07:44:36Z http://irep.iium.edu.my/32816/ Surface roughness modeling for CNC end milling using artificial neural network Al Hazza, Muataz Hazza Faizi Adesta, Erry Yulian Triblas T Technology (General) This research presents the effect of high cutting speed on the surface roughness in the end milling process by using the Artificial Neural Network (ANN). An experimental investigation was conducted to measure the surface ro ughness for end milling. A set of sparse experimental data for finish end milling on AISI H13 at hardness of 48 HRC have been conducted. The artificial neural network (ANN) was applied to simulate and study the effect of high cutting speed on the surface roughness. 2013-07 Conference or Workshop Item REM application/pdf en http://irep.iium.edu.my/32816/9/SCN_0009.jpg application/pdf en http://irep.iium.edu.my/32816/1/icom13brochure.pdf application/pdf en http://irep.iium.edu.my/32816/13/2181b_iium_conference_mechatronic_2013.pdf Al Hazza, Muataz Hazza Faizi and Adesta, Erry Yulian Triblas (2013) Surface roughness modeling for CNC end milling using artificial neural network. In: 5th International Conference on Mechatronics (ICOM'13), 2 – 4 July 2013, Kuala Lumpur, Malaysia. (Unpublished) |
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T Technology (General) Al Hazza, Muataz Hazza Faizi Adesta, Erry Yulian Triblas Surface roughness modeling for CNC end milling using artificial neural network |
description |
This research presents the effect of high cutting speed on
the surface roughness in the end milling process by
using the Artificial Neural Network (ANN). An experimental
investigation was conducted to measure the surface ro
ughness for end milling. A set of sparse experimental data for finish end milling on AISI H13 at hardness of 48 HRC have been conducted. The artificial neural network (ANN) was applied to simulate and study the effect of high cutting speed on the surface roughness. |
format |
Conference or Workshop Item |
author |
Al Hazza, Muataz Hazza Faizi Adesta, Erry Yulian Triblas |
author_facet |
Al Hazza, Muataz Hazza Faizi Adesta, Erry Yulian Triblas |
author_sort |
Al Hazza, Muataz Hazza Faizi |
title |
Surface roughness modeling for CNC end milling using artificial neural network
|
title_short |
Surface roughness modeling for CNC end milling using artificial neural network
|
title_full |
Surface roughness modeling for CNC end milling using artificial neural network
|
title_fullStr |
Surface roughness modeling for CNC end milling using artificial neural network
|
title_full_unstemmed |
Surface roughness modeling for CNC end milling using artificial neural network
|
title_sort |
surface roughness modeling for cnc end milling using artificial neural network |
publishDate |
2013 |
url |
http://irep.iium.edu.my/32816/9/SCN_0009.jpg http://irep.iium.edu.my/32816/1/icom13brochure.pdf http://irep.iium.edu.my/32816/13/2181b_iium_conference_mechatronic_2013.pdf http://irep.iium.edu.my/32816/ |
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1643610301406380032 |
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13.159267 |