Tool Life Prediction in Turning of Mild Steel with HSS Cutting Tool using Statistical method

Abstract

This study investigated the tool life of HSS cutting tool while turning mild steel material. It employed statistical experimental design method to develop a predictive tool life using a centre composite design of experiment (CCD) comprising of fifteen (15) experiments. First order and second order tool life model were developed with 95% confidence level. The results obtained from the statistical model are in good agreement with that obtained from experimental data, with average percentage error of 7% which is reasonably acceptable. Based on ANOVA results, the cutting speed, depth of cut and rake angle were significant factors that influence tool life.