Generalized fuzzy model for metal cutting data selection

Metal cutting data selection is complex and cannot be easily formulated to meet design specification by any mathematical model. Optimized Machinabilit y data is obtained from a skilled machine tool operator's experience and in tuition. A rule-based expert system and materials database have been incorp orated into many CAD/CAM systems in order to obtain optimal machining param eters. Fuzzy logic is a better tool to describe the strategy and action of the skilled operator when selecting the metal cutting data. A first prototy pe of such a system was developed by the present authors. This paper furthe r describes development of fuzzy models and their feasibility. Development of several models for different cutting tools is presented and discussed. T he models are validated with the Machining Data Handbook. The feasibility o f a generalized fuzzy model for all the cutting tools is also presented. (C ) 1999 Elsevier Science S.A. All rights reserved.