Investigation of cutting time and tool wear rate on EN-24 steel alloy by the drilling process

Abstract

Modeling and optimization of cutting parameters are one of the most important factors in manufacturing process. The aim of present work is to establish the relation among input factors i.e. spindle speed, feed rate and depth of cut and response parameters i.e. cutting time and tool wear rate. The operation is performed on EN-24 alloy steel material. The analysis of variance (ANOVA) has been performed to find the significant and non-significant parameters. Mathematical model is developed for CT and TWR and optimized using composite desirability (CD) function technique. It was found that the best machining factor is depth of cut whereas spindle speed is the less significant machining parameter. The confirmation experiments have been also performed to validate the results. The given model could be utilized to select the level of drilling parameters.