Modelling and analysing the cutting forces in high speed hard end milling using neural network

Al Hazza, Muataz Hazza Faizi and Adesta, Erry Yulian Triblas (2015) Modelling and analysing the cutting forces in high speed hard end milling using neural network. ARPN Journal of Engineering and Applied Sciences, 10 (22). 17270 -17275. ISSN 1819-6608

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Abstract

High speed hard end milling is one of complex and costly shape machining compared to other machining processes. In high speed end hard milling, the tool wear or breakage are mostly happened due to the cutting forces which lead. In this research, the influencing of cutting speed, feed rate and depth of cut on cutting forces have been analysed and modelled using the artificial neural network approach using experimental data. The experiment was conducted using high speed end milling of AISI D2 cold work tool steel material hardened to 52 HRC under dry cutting condition. The measured data have been used to train and validate the outputs. The artificial neural network (ANN) has been used for modeling and predicting the cutting forces using the JMP software. The new model shows high accuracy compared the measured forces.

Item Type:	Article (Journal)
Additional Information:	6852/46572
Uncontrolled Keywords:	cutting force, high speed, end milling, hard milling and ANN
Subjects:	T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Manufacturing and Materials Engineering
Depositing User:	Dr Muataz Hazza Alhazza
Date Deposited:	22 Dec 2015 14:07
Last Modified:	12 May 2016 15:05
URI:	http://irep.iium.edu.my/id/eprint/46572

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