OPERATIONAL MODELING FOR OPTIMIZING SURFACE ROUGHNESS IN MILD STEEL DRILLING USING TAGUCHI TECHNIQUE

This investigation presents a Taguchi technique as one of the method for minimizing the surface roughness in drilling Mild steel. The Taguchi method, a powerful tool to design optimization for quality, is used to find optimal cutting parameters. The methodology is useful for modeling and analyzing engineering problems. The purpose of this study is to investigate the influence of cutting parameters, such as cutting speed and feed rate, and point angle on surface roughness produced when drilling Mild steel. A plan of experiments, based on L27Taguchi design method, was performed drilling with cutting parameters in Mild steel. All tests were run without coolant at cutting speeds of 7, 18, and 30 m/min and feed rates of 0.035, 0.07, and 0.14 mm/rev and point angle of 90 ° , 118°, and 140°. The orthogonal array, signal-to-noise ratio, and analysis of variance (ANOVA) were employed to investigate the optimal drilling parameters of Mild steel. From the analysis of means and ANOVA, the optimal combination levels and the significant drilling parameters on surface roughness were obtained. The optimization results showed that the combination of low cutting speed, low feed rate, and medium point angle is necessary to minimize surface roughness.

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