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Optimization of Surface Roughness in CNC Turning of Aluminum alloy ENAC 43400 Using Taguchi Method


SHUBHANGI SAMADHAN TAYDE , Government college of Engineering, Aurangabad, Maharashtra, 431005, India; S. A. SONAWANE, Government college of Engineering, Aurangabad, Maharashtra, 431005, India


CNC Lathe, Surface Roughness, Regression analysis, Taguchi, Design of Experiments, ANOVA


In Computer Numerical Control (CNC) turning technology, Surface roughness is a one of the most important parameter. The aim of the work is, to obtain the optimum process parameters of turning process (cutting speed, feed rate and depth of cut) which results in an optimal of surface roughness for machining aluminum alloy ENAC43400, as a work piece material with carbide cutting tool in a CNC lathe machine. The effect of various cutting parameter for surface roughness of ENAC 43400 work material in turning operation L9 orthogonal array based Taguchi optimization technique is used for optimization of process parameters of CNC. The surface roughness is measured by using the surface roughness tester (Mitutoyo surftest-SJ210). Design of experiments (DOE) were conducted for the analysis of the effective turning parameters on the surface roughness by using Taguchi design and then optimize these results using Analysis of Variance (ANOVA), to find the optimal value of surface roughness. The feed rate and depth of cut values are set as low for the result of optimum surface roughness whereas speed was the most influential process parameter.

Other Details

Paper ID: IJSRDV4I30230
Published in: Volume : 4, Issue : 3
Publication Date: 01/06/2016
Page(s): 308-310

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