Generalized fuzzy model for metal cutting data selection

Citation

Wong, S.V. and Hamouda, A.M.S. and El Baradie, M.A. (1999) Generalized fuzzy model for metal cutting data selection. Journal of Materials Processing Technology, 89-90. pp. 310-317. ISSN 0924-0136

Abstract

Metal cutting data selection is complex and cannot be easily formulated to meet design specification by any mathematical model. Optimized Machinability data is obtained from a skilled machine tool operator's experience and intuition. A rule-based expert system and materials database have been incorporated into many CAD/CAM systems in order to obtain optimal machining parameters. Fuzzy logic is a better tool to describe the strategy and action of the skilled operator when selecting the metal cutting data. A first prototype of such a system was developed by the present authors. This paper further describes development of fuzzy models and their feasibility. Development of several models for different cutting tools is presented and discussed. The models are validated with the Machining Data Handbook. The feasibility of a generalized fuzzy model for all the cutting tools is also presented.

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Additional Metadata

Item Type:	Article
Divisions:	Universiti Putra Malaysia
DOI Number:	https://doi.org/10.1016/S0924-0136(99)00127-2
Publisher:	Elsevier Science
Keywords:	Fuzzy model; Machinability data selection; Fuzzy expert system
Depositing User:	Ms. Zaimah Saiful Yazan
Date Deposited:	07 Jul 2025 04:40
Last Modified:	07 Jul 2025 04:40
Altmetrics:	http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1016/S0924-0136(99)00127-2
URI:	http://psasir.upm.edu.my/id/eprint/116735
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