TAGUCHI AND RESPONSE SURFACE METHODOLOGIES ENGAGED FOR SURFACE ROUGHNESS IN CNC TURNING AISI 316 BY MULTILAYERED COATED TOOL
Keywords:
CNC tuning, surface roughness, Taguchi technique, Response surface method, ANOVAAbstract
This paper examines about the utilization of Taguchi and reaction surface techniques (RSM) for minimizing the surface roughness (SR) in CNC turning austenitic stainless steel (AISI 316) by multilayered coated with TiCN/Al2O3 tool. The trials have been led utilizing Taguchi exploratory outline system. The cutting parameters utilized are cutting pace, encourage and profundity of cut. The impact of cutting parameters on SR is assessed and the ideal cutting condition for limiting the SR is resolved. In the first place and second request demonstrate are built up between the cutting parameters and SR utilizing RSM. The test comes about uncover that the most huge tuning parameter for SR is sustain trailed by cutting rate. The predicted values and measured values are fairly close, which indicates that the developed model can be effectively used to predict the SR in turning of AISI 316. Analysis of variance (ANOVA) is used for identifying the significant parameters affecting the responses. Finally the residual analysis is employed for verify the regression model.
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