Multi-response optimization for surface roughness and temperature of cutting zone in face milling of AISI 52100 steel under MQL conditions

Abstract

Minimum quantity lubrication is one of the widely used technique in industrial applications to minimize the amount of cutting fluid that reducing manufacturing cost. In this experiment, MQL is used in face milling operation of AISI-52100 steel using carbide tool inserts. Multi response optimization of cutting zone temperature and surface roughness has been studied using Taguchi based grey relational analysis. The effect of input process variables such as cutting velocity (Vc), coolant flow rate (Q), and feed per revolution (f) on surface roughness and temperature of the cutting zone was analyzed. From ANOVA analysis, it was found that f and Vc were the most dominant parameters for roughness and cutting zone temperature. The optimal conditions achieved for temperature of cutting zone and surface roughness were at cutting velocity 160 rpm, coolant flow rate of 120 ml/hr and feed per revolution=0.1 mm/rev.