Surface roughness modeling for CNC end milling using artificial neural network

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 (Unpublished)

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Abstract

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.

Item Type:	Conference or Workshop Item (Full Paper)
Additional Information:	6852/32816
Subjects:	T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering
Depositing User:	Dr Muataz Hazza Alhazza
Date Deposited:	19 Nov 2013 15:44
Last Modified:	19 Nov 2013 15:44
URI:	http://irep.iium.edu.my/id/eprint/32816

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