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Optimization of Drilling Parameter on Surface Roughness Using Taguchi Method

Author(s):

Mostafa Adel Abdullah , University of Technology ; Ahmed Basil Abdulwahhab, University of Technology ; Atheer Rasim Mohammed, University of Technology

Keywords:

Taguchi, ANOVA, Surface Roughness, Optimization, Tool Diameter

Abstract

In this present work is to optimize process parameter such spindle speed, feed rate and tool diameter. Taguchi method is widely used for design of experiments and analysis of experimental to optimize.). Surface roughness (Ra) as output values of this process with using steel (AISI 1015) as a workpiece. A number of drilling experiments were conducted using the L9 orthogonal array on conventional drilling machine with use feed rate (0.038, 0.076, 0.203) mm/rev and spindle speed (132, 550, 930) rpm and tool diameter (11, 15, 20) mm HSS twist drills under dry cutting conditions. Analysis of variance (ANOVA) was employed to determine the most significant control factors affecting the surface roughness, it was found that the drill diameter was the most significant factor for the surface roughness with (76.12%). The results of the optimization of compare of experimental and prediction conditions levels (11 mm) tool diameter, feed rate (0.038) mm/rev, and spindle speed (930 R.P.M) shown the average experiments and prediction surface roughness (1.925) and (1.83815) respectively with error 4.519%.

Other Details

Paper ID: IJSRDV4I40529
Published in: Volume : 4, Issue : 4
Publication Date: 01/07/2016
Page(s): 786-790

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