Investigate the effect of various cutting parameters on the surface roughness of aluminum alloy 5052 by using Taguchi method

الملخص

The characteristic surface finish of the machining is the mostly important characteristics of products quality and its indispensable customers’ requirement. Taguchi robust parameters designs for optimizing for surface finish in turning of 5052 AL-Alloy using carbide cutting thas been utilized in this  paper. Using the Taguchi method for AA5052 aluminum alloy machining reveals that feed rate, cutting speed, and depth of cut significantly impact surface roughness, with feed rate often being the dominant factor, followed by speed, then depth. The results showed that lower feed rates (e.g., 0.1 mm/rev) and higher cutting speeds (e.g., 900 rpm) generally yield the best (lowest) surface roughness (Ra), while optimal depth of cut varies but often favors lower values. ANOVA and Signal-to-Noise (S/N) ratio analyses confirm parameter significance, allowing prediction of optimal settings for improved quality. 

Finally, the relationship between the cutting parameters and the response variables was established using regression analysis implemented in MINITAB 16 software. The predicted values obtained from the developed regression models were compared with the corresponding experimental results. The comparison revealed a close agreement between the predicted and experimental values, indicating that the developed models are accurate and adequately represent the machining process.