Optimization of Tool Wear for Turning Operation Based the Response Surface Methodology

Present dissertation work has attempted to optimize the various significant cutting conditions for turning process by Response Surface Methodology (RSM). The dependent variable was tool wear (VB ). The stainless steel max. AISI 316 SS has been used as a workpiece material, cutting speed (V), feed rate (f) and depth of cut (d) were selected as cutting conditions for this study. A face center composite design was selected for design of experiments. The results obtained from the experimental runs were analyzed using Minitab16 software. The corresponding values of the response parameter were also calculated using mathematical formulae and confirmed by performing validation experimentation. From the present experimental study, it is observed that VB in turning process is mainly affected by the depth of cut max. parameter as linear and square and interactions of cutting conditions (V × f), (V × d) all have a considerable impact on the VB . But, the depth of cut as linear has a major impact on the VB .