Characterization and Optimization of Machining Parameters for High-Strength Steel

Abstract

During machining of die steels, better surface quality of machined surface and larger amount of material removal are the main concerns of the machinist. In present study, three important cutting parameters (depth of cut, feed rate and cutting speed) are varied as process parameters during turning of EN 24 steel with objectives to get minimum surface roughness (SR) and maximum material removal rate (MRR). Experiments are planned as per Taguchi’s L9 orthogonal array with three parameters where each parameter is varied at three levels. Using analysis of variance (ANOVA), effect of the cutting parameters on the process responses is deduced and quantified. To validate the outcome of signal-to-noise ratio approach, confirmatory experiments were conducted at optimized levels of parameters and results for surface smoothness and material removal rate had improved by 41.88% and 51.14% as compared to initial settings of cutting parameters.