JME_V5_N1_RP6 Munish Kumar Gupta Pardeep Kumar Sood Gauravdeep Singh Journal on Mechanical Engineering 2249 - 0744 5 1 37 43 ANOVA (Analysis of Variation), ANOM (Analysis of Mean), Cutting Speed, Feed Rate, Taguchi, Tool Wear, Cryogenic Cooling This paper aims the development of multi response optimization technique using utility method to predict and select the optimal setting of machining parameters while machining AISI 4340 steel. The experimental studies in machining were carried out under varying conditions of process parameters, such as cutting speed (v), feed rate (f) and different cooling conditions (i.e. dry, wet and cryogenic in which liquid nitrogen used as a coolant) by using uncoated tungsten carbide insert tool. Experiments were carried out as per Taguchi's L9 orthogonal array with the utility concept and multi response optimization were performed for minimization of tool wear (Vc) and specific cutting force (Ks). Next, statistical analysis of variation (ANOVA) and analysis of mean (ANOM) were led to determine the effect of process parameters on responses Vc and Ks based on their P-value and F-value at 95% confidence level. The optimization results proved that, cutting speed 57 m/min, feed rate 0.248 mm/min and cryogenic cooling is required for minimize tool wear and specific cutting force. November 2014 - January 2015 Copyright © 2015 i-manager publications. All rights reserved. i-manager Publications http://www.imanagerpublications.com/Article.aspx?ArticleId=3070