A Study of The Optimum Cutting Parameters for The Surface Roughness in A Longitudinal Turning of Aluminum Alloy Using Taguchi Method
عملية الخراطة
Keywords:
Turning ANOVA, Taguchi, Surface RoughnessAbstract
In this paper, the effect of the optimum cutting parameters (spindle speed, feed rate and depth of cut) on the surface roughness of an aluminum alloy (AL-5052) workpiece machined by lathe machine under dry conditions was studied. A carbide cutting tool insert with a constant nose radius was used. Number of statistical methods were used i.e. Taguchi, Analysis of Variation (ANOVA) and the Multiple Linear Regression Analysis. The orthogonal matrix L9, which consists three factors at three different levels for each factor was selected. Results were analyzed using Minitab-16. The "smaller is better" property was applied to calculate the signal-to-noise ratio (S/N Ratio) for each experiment. The analysis of variation was used to determine the most affecting factor on the response variable (surface roughness) by determining the highest contribution in the process. Multiple linear regression analysis was also used in predicting the surface roughness. Results showed that the surface roughness values obtained by the multiple linear regression model are at a close agreement with those from the experiments, where the error ratio was less than 0.8%. Therefore, this model could be used in the prediction of the surface roughness
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Copyright (c) 2021 مصطفى عمر حكومه ، معمر مصباح بن عيسى، هيثم عاشور السويحلي، غيث إبراهيم إبراهيم، بشير صالح يونس
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