Application of Response surface method and Fuzzy logic approach to optimize the process parameters for surface roughness in CNC turning

This paper addresses optimization in cutting parameters to obtain minimum surface roughness using multiple metamodeling techniques like Design of Experiments (DOE), Response Surface Methodology (RSM) and Fuzzy inference system. The second order mathematical models in terms of machining parameters were developed for surface roughness prediction using RSM on the basis of experimental results. The model selected for optimization has been validated with F-test. The adequacy of the models on surface roughness has been established with Analysis of Variance (ANOVA). An attempt has also been made to optimize cutting parameters using fuzzy logic approach for the surface roughness prediction models. Experimental results obtained in the machining of UNS C34000 medium leaded brass using coated carbide tool have been provided to verify the approach.