PREDICTION OF PROCESS PARAMETERS IN CNC END MILLING OF UNS C34000 MEDIUM LEADED BRASS
Keywords:
CNC End Milling, Optimization, Cutting Conditions, DOE, ANOVA, Surface RoughnessAbstract
The study highlights optimization of CNC milling process parameters to provide better surface finish The surface finish has been identified as quality attribute and is assumed to be directly related to productivity. In order to build up a bridge between quality and productivity, an attempt made to optimize aforesaid quality attribute in small and medium size companies involved with heterogenic product demand. With the more precise demands of modern engineering products, the control of surface texture together with dimensional accuracy has become more important. This paper outlines the Taguchi optimization methodology, which is applied to optimize cutting parameters in end milling operation. The study was conducted in machining operation in UNSC34000 medium leaded brass. The milling parameters evaluated were cutting speed, feed rate and depth of cut. The experiments were conducted by using L-25 orthogonal array as suggested by Taguchi. Signal-to- Noise (S/N) ratio and Analysis of Variance (ANOVA) are employed to analyze the effect of milling parameters on surface roughness. Main effects of process parameters on the quality characteristics have been analyzed. The results show that the optimum parameters of machining by CNC End Milling Machine for given set of parameters.
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