A fuzzy logic model for machining data selection

This paper describes the development stages of a fuzzy logic model for metal cutting. The model is based on the assumption that the relationship between the hardness of a given material and the recommended cutting speed is an imprecise relationship, and can be described and evaluated by the theory of fuzzy sets. The model has been applied to data extracted from the Machining Data Handbook [Metcut Research Associates, 3rd edn, Vols 1 and 2 (1980)], and a very good correlation was obtained between the handbook data and that predicted using the fuzzy logic model. The objective of the model is to facilitate the computerization process of the vast machining information contained in machining data handbooks. Also, the proposed model suggests the possibility of developing an expert system for machining data selection based on fuzzy logic. (C) 1997 Published by Elsevier Science Ltd. All rights reserved.