Optimization of machinability criteria during dry machining of Ti-2 with micro-groove cutting tool using WASPAS approach

Abstract

This paper deals with the optimization of process parameters during machining of grade 2 titanium alloy using a microgroove cutting tool. In order to choose the best combination of process parameters that satisfies the multiple numbers of desired outcomes, a multi-criteria decision-making optimization process is used. WASPAS method is one of the best statistical optimization methods which combinedly finds a single parametric setting for all the responses. In this study, Taguchi L27 layout is considered for conducting the experiment. Three cutting parameters with three-level are selected, i.e. cutting velocity (325, 550 and 930 rpm), feed (0.04, 0.06 and 0.08 mm/rev) and type of cutting inserts (cutting insert without microgroove, cutting insert with triangle microgroove, cutting inserts with triangle microgroove with solid lubricant). The output responses considered for the analysis are cutting temperature, tool wear and surface roughness. To find out the optimum cutting parameters of the combined effect of output response WASPAS method is used. The ANOVA is done to know the percentage contribution of each of the cutting parameters on the output responses and the contour graph is plotted to know the effect of the interaction of the cutting parameter in the responses.