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

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

[img] PDF
3070Kb

Abstract

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.

Item Type:Article
Keyword:Fuzzy model, machinability data selection, general strategies
Faculty or Institute:Faculty of Engineering
Publisher:Universiti Putra Malaysia Press
ID Code:3666
Deposited By: Nur Izyan Mohd Zaki
Deposited On:01 Dec 2009 00:51
Last Modified:27 May 2013 07:10

Repository Staff Only: item control page

Document Download Statistics

This item has been downloaded for since 01 Dec 2009 00:51.

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


Universiti Putra Malaysia Institutional Repository

Universiti Putra Malaysia Institutional Repository is an on-line digital archive that serves as a central collection and storage of scientific information and research at the Universiti Putra Malaysia.

Currently, the collections deposited in the IR consists of Master and PhD theses, Master and PhD Project Report, Journal Articles, Journal Bulletins, Conference Papers, UPM News, Newspaper Cuttings, Patents and Inaugural Lectures.

As the policy of the university does not permit users to view thesis in full text, access is only given to the first 24 pages only.