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General Strategies in Developing Alloy Steel Fuzzy Model for Machinability Data Selection of Turning Process


Citation

Tan, J. Y. and Wong, Shaw Voon and Ismail, Napsiah and Salem Hamouda, Abdel Magid (2004) General Strategies in Developing Alloy Steel Fuzzy Model for Machinability Data Selection of Turning Process. Pertanika Journal of Science & Technology, 12 (2). pp. 177-189. ISSN 0128-7680

Abstract / Synopsis

In this paper, several fuzzy models have been proposed for machinability data selection of turning process of alloy steel. The selection of the machinability data is a crucial task, and normally done by the skilled machinists. Thus, fuzzy models-have been suggested for predicting the optimum machinability data, which are cutting speed and feed rate. These fuzzy models are developed based on the relationship of two-input (material hardness and depth of cut) and two-<>utput (cutting speed and feed rate). A few general strategies in developing fuzzy models are presented and discussed in this paper. Generally, there are three different strategies that are suggested in this paper. The objective of implementing these strategies is to simplify the process of fuzzy model development. The predicted cutting speed and feed rate are compared with the data obtained from the Machining Data Handbook (Metcut Research Associate 1980) and a good correlation has been shown throughout the comparison.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
Publisher: Universiti Putra Malaysia Press
Keywords: Fuzzy model, machinability data selection, general strategies
Depositing User: Nur Izyan Mohd Zaki
Date Deposited: 01 Dec 2009 08:51
Last Modified: 27 May 2013 15:10
URI: http://psasir.upm.edu.my/id/eprint/3666
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