Optimization Of Process Parameters In Turning 817M40T Steel At Minimum Quantity Lubrication (MQL) Condition

Abstract

This research conducts optimization of cutting parameters on surface roughness during turning of 817M40T steel under dry and minimum quantity lubrication (MQL) conditions. The cutting parameters such as spindle speed, feed rate and depth of cut were the parameters taken as input variables for the investigation of the surface roughness quality. The experimental design adopted in this work was a three-factors-three-levels of L9 Orthogonal Array of Taguchi Robust Design Technique. Fifty four samples were experimented in a CNC Turning in dry and MQL environment and surface roughness measured using profilometer instrument. The optimal surface roughness value for MQL condition was found to be 1.9853μm. The result of ANOVA has the spindle speed contributing 71.5 %, followed by feed rate 14.10% and depth of cut has least effect of 7.80%. In dry condition, the result of ANOVA has spindle speed with 55.78% contribution followed by feed rate of 35.7% while depth of cut has least effect of 5.52%. In dry condition, the optimum value of surface roughness is 2.7096μm. MQL cutting condition was found to be better and more reliable because it is environmentally friendly and gives better surface finish. With the obtained optimum input parameters for surface roughness, production machining operations will be enhanced