Modeling and prediction of mrr and surface roughness in turning operations using factorial method and regression method

This paper presents the findings of an experimental analysis into the effects of feed rate, cutting speed, depth of cut, and cutting environment in turning operation of Low alloy steel (En-353). Design of experiment technique, i.e. factorial method have been used to accomplish the objective of the experimental study. 23 factorial design with eight treatment combination used for conducting the experiments. It was observed that the feed rate and depth of cut was the most influential factors on the MRR and surface roughness. The importance of the cutting parameters on the cutting performance outputs is determined by using the variance analysis (ANOVA).The variation of MRR and surface roughness with cutting parameters is modeled by using a regression analysis method.