A new performance-based criterion for optimum cutting conditions and cutting tool selection in finish turning

This paper presents a methodology for selection of cutting tools and cutting parameters in finish turning operations based on a new comprehensive optimization criterion and nonlinear programming algorithms. The optimization objective includes the contributing effects of all major machining performance measures. A hybrid process model, based on the metal cutting theories and a database of experimental results together with numerical methods for data interpolation, is used to predict the machining performance measures. Case studies are presented to demonstrate its application in the selection of cutting tool inserts and in the determination of optimum cutting conditions.