On predicting chip breakability in machining of steels with carbide tool inserts having complex chip groove geometries

Abstract

This paper presents a new method for precisely predicting chip breakability in machining of steels with carbide tool inserts having complex chip groove geometries. This method employs the use of a fuzzy set-based knowledge-based system which quantifies the chip breakability through a membership value, μ(x) ranging from 0 to 1. The knowledge-base established contains results of representative experiments with seven steel work materials. A wide range of cutting conditions and tool chip groove geometries are used for predicting chip breakability and the associated machinability parameters such as cutting power and surface finish which in combination forms a basis for the assessment of “total machinability” in machining.