Mathematical modeling of process parameters on hard turning of AIST 316 SS by WC insert

This paper presents a newly developed mathematical modeling for process 0 parameters on hard turning of AISI 316 stainless steel by tungsten carbide inserts (WC). Regression analysis and ANOVA theory was used to predict surface roughness (Ra) and tool wear (V-B). WC tool inserts performed machining of AISI 316 SS to study main and interaction effects of process parameters [cutting speed (Vs), feed rate (fs) and depth of cut (a(p))]. Adequacies of developed model were verified by calculation of correlation coefficient (r). These models can be effectively used to predict Ra of work piece and V-B Of WC insert.