Development of an artificial neural network model for the prediction of the chip serration frequency in end milling of medium carbon steel

Patwari, Muhammed Anayet Ullah and Amin, A. K. M. Nurul and Faris, Waleed Fekry and Ginta, Turnad Lenggo and Alam, S. and Lajis, M. A. (2008) Development of an artificial neural network model for the prediction of the chip serration frequency in end milling of medium carbon steel. In: International Conference of Curtin University of Science and Technology Engineering (CUTSE 2008), 24 - 27 November 2008, Sarawak, Malaysia.

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Abstract

In this work, an Artificial Neural Network (ANN) model was developed for the investigation and prediction of the relationship between cutting parameters and chip serration frequency during high speed end milling of medium carbon steel (S45C). The input parameters of the ANN model are the cutting parameters: cutting speed, feed, and axial depth of cut. The output parameter of the model was chip serration frequency. For this interpretation, advantages of statistical experimental design technique, experimental measurements, artificial neural network were exploited in an integrated manner. Cutting experiments are designed based on statistical central composite design experimental design technique. A predictive model for chip serration frequency was created using a feed-forward backpropagation neural network exploiting experimental data. The network was trained with pairs of inputs/outputs datasets generated when end milling steel with TiN coated carbide inserts. A very good predicting performance of the neural network, in terms of concurrence with experimental data was attained. The model can be used for the analysis and prediction for the complex relationship between cutting conditions and the chip serration frequency in metal-cutting operations.

Item Type:	Conference or Workshop Item (Full Paper)
Additional Information:	2872/17330
Uncontrolled Keywords:	ANN Model, chip serration frequency, end milling
Subjects:	T Technology > TS Manufactures
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Manufacturing and Materials Engineering Kulliyyah of Engineering > Department of Mechanical Engineering
Depositing User:	Dr. A.K.M. Nurul Amin
Date Deposited:	10 Apr 2012 14:33
Last Modified:	10 Apr 2012 14:33
URI:	http://irep.iium.edu.my/id/eprint/17330

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