Adjustment approach for fuzzy logic model based selection of non-overlapping machining data in the turning operation

In the Machining Data Handbook [Machining Data Handbook, vol. 2, 3rd ed., Metcut Research Associates Inc., Cincinnati, 1980] work-piece materials are classified in various groups covering a wide range of materials according to their material hardness (BHN) and cutting speed according to their depths of cut. The handbook provides machining parameters for different tool work-piece combinations. For each work-piece material and hardness, one may scan through different possible tool materials. This paper describes an adjustment approach applied to a fuzzy logic based model for selecting cutting speed where the machining data for speed ranges between the different depths cut are not overlapped. For this study data for two different materials and four different types of cutting tools are used to illustrate the adjustment approach. In material type one the cutting speed ranges for different depths of cut are overlapped and when a fuzzy logic based model was applied, it produced the cutting speed data providing good correlation with handbook data. In material type two the cutting speed ranges for different depths of cut are not overlapped. In this situation the cutting speed data are superimposed and results were adjusted according to their own ranges.