OPTIMIZATION OF CNC FACE MILLING PROCESS PARAMETERS USING TAGUCHI METHOD
Keywords:
CNC milling, Taguchi method, S/N ratio, ANOVAAbstract
In any machining operation, quality and productivity are the two most important parameters. It is therefore
essential to optimize quality and productivity simultaneously. This project work highlights the optimization of CNC face
milling process parameters to provide good surface finish and high material removal rate. The surface finish of the machined
surface has been identified as quality attribute where as MRR has been treated as performance index directly related to
productivity. Attempt has been made to optimize quality and productivity in a manner that these multi-criterions could be
fulfilled simultaneously up to the expected level. This has invited a multi-objective optimization problem which has been
solved by Taguchi method. Orthogonal arrays of Taguchi, the signal-to-noise ratio, the analysis of variance (ANOVA) are
employed to find the optimal levels and to analyse the effect of milling parameters on surface roughness. Confirmation tests
with the optimal levels of cutting parameters are carried out in order to illustrate the effectiveness of Taguchi optimization
method.
