Experimental Analysis of Surface Roughness in CNC Turning of Aluminium Using Response Surface Methodology

The main controllable parameters for the CNC turning machines are cutting tool variables, work piece material variables, and cutting conditions. The desired output is surface roughness, material removal rate and tools wear. Optimization of machining parameters needs to determine the most significant parameter for required output. Various techniques are used for optimization of machining parameters including Taguchi, RSM and ANOVA approach to determine most significant parameter. This work presents the findings of an experimental investigation into the effects of cutting speed, feed rate, and depth of cut in CNC turning of Aluminium KS 1275. Response surface methodology (RSM) is used to accomplish the objective of the experimental study. Face centered central composite design has been used for conducting the experiments. The result from RSM reveals that feed is the most significant factor followed by depth of cut.