Selection of cutting parameters in side milling operation using graph theory and matrix approach

Abstract

This paper presents the selection of cutting parameters of heavy cutting process in side milling using graph theory and matrix approach (GTMA). The multiple attribute decision-making methods are also applied to rank and select the cutting parameters for the given application. The objective is to find the optimized cutting parameters in side milling operation. The considered performance characteristics are tool wear rate and metal removal rate. In GTMA approach, a “performance suitability index (PSI)” evaluates and ranks the performance characteristics from the given alternatives. It is registered that the performance, for which the value of PSI is highest, is the best choice for the given application. The index is derived from the graph of performance selection factors. An example is included to illustrate the approach.