Optimization of machining Nilo 36 superalloy parameters in turning operation

Abstract

In this study, the effects of cutting speed, tool geometry, and machining parameters on surface roughness and cutting forces in the turning of Nilo 36 superalloy have been investigated. An experimental design of the turning process was made with the Taguchi technique. In this way, optimum values were estimated with a small number of experiments. The grey correlation analysis method was used to determine the best parameter levels and plausible factors. While the most ideal value for the cutter with traditional geometry was achieved with experiment number 3, indicated by the GRA (grey relationship analysis) Rank value no. 1, the worst result was obtained with experiment number 9, and while the most ideal value for the cutter with wiper geometry was achieved with experiment number 2, indicated by the GRA Rank value no. 1, the worst result was obtained with experiment number 6. Results showed that experiments made by GRA-based parameters give better results on surface roughness and cutting forces.