Multi-optimization of Stellite 6 Turning Parameters for Better Surface Quality and Higher Productivity Through RSM and Grey Relational Analysis

摘要

The present paper consists of an experimental study to the effect of turning parameters on surface roughness of Cobalt alloy (Stellite 6) and the optimization of machining parameters based on Grey relational analysis. Taguchi's design of experiments (DOE) is used to carry out the tests. The response surface methodology is successfully applied in the analysis of the effect the turning parameters on surface roughness parameters. Second order mathematical models in terms of machining parameters are developed from experimental results. The experiment is carried out by considering four machining conditions, namely noise radius, cutting depth, cutting speed and feed rate as independent variables and average arithmetic roughness as response variables. It can be seen that the tool noise radius and feed rate are the most influential parameters on the surface roughness. The adequacy of the surface roughness model was established using analysis of variance (ANOVA). An attempt was also made to optimize cutting parameters using a Grey relational analysis to achieve minimum surface roughness and maximum material removal rate.