Fuzzy based cutting data selection for hard turning operation

Abstract

This paper describes the development of model based fuzzy logic for selecting cutting condition in turning operations. And it is based on the assumption that the relationship between the hardness, cutting speed and feed rates an imprecise one and can be described and evaluated by the fuzzy set theory. The model to be applied to Tool and Die steel material with three types of cutting tool materials (Cemented carbide(C2), ceramics(TiC-Al2O3) and Sintered PCBN (Polycrystalline Cubic Boron Nitride) and fuzzy logic principles have been applied for selecting cutting conditions in the hard turning operation. It gives recommendations for the cutting data viz., cutting speed and feed rates for respective depth of cut.