Parametric analysis and simulation of surface roughness and tool flank wear in machining of low carbon alloy steel

Abstract

Austenitic SS influences in most frequently applied corrosion resistance or in higher surface loading were it is required. The present investigation represents the quality attributes namely surface roughness and tool wear rate in turning of AISI 316L steel using DoE. Taguchi method has been employed with L9 (34) orthogonal array of the three significant factors, i.e., speed, feed and depth of cut, to achieve the minimum surface roughness and tool wear rate. The Analysis of variance was performed to identify the influencing factors which affect the responses. The outcomes from the research reveal that the minimum surface roughness was achieved at cutting speed 170 m/min, feed rate 0.10 mm/rev, depth of cut 0.15 mm and the minimum too wear rate was attained at 170 m/min cutting speed, 0.07 mm/rev feed rate and 0.15 mm depth of cut was determined using the experimental study and compared with the prediction model from design of experiments. The results shows that both the values were good in agreement with experimental as well as prediction results.