TITLE
OPTIMIZATION OF SURFACE ROUGHNESS IN MILLING ALUMINUM 7075-T6 USING THE TAGUCHI METHOD
AUTHOR(S)
Furkan Berat Genc, Ibrahim Savas Dalmis*
ABSTRACT
Machining processes, particularly milling, play a critical role in achieving high-precision components in subtractive manufacturing. Surface roughness is a key indicator of surface quality, influencing mechanical performance, fatigue life, and assembly fit in industrial applications. This study utilizes the Taguchi method to optimize machining parameters—cutting speed, feed rate, and depth of cut—for minimizing surface roughness (Ra) during the milling of Aluminum 7075-T6 alloy, a material extensively employed in aerospace, automotive, and military sectors due to its high strength-to-weight ratio. Experimental trials were conducted using an L9 orthogonal array, with results analyzed through signal-to-noise (S/N) ratios, analysis of variance (ANOVA), and
regression modeling. The findings reveal that feed rate exerts the most significant influence on Ra (50.75% contribution), followed by cutting speed (28.34%) and depth of cut (12.75%). Optimal parameters identified are a cutting speed of 430 m/min, feed rate of 500 mm/min, and depth of cut of 0.3 mm, yielding a predicted Ra of 0.08967 μm. These optimizations enhance manufacturing efficiency and component durability, providing practical insights for precision engineering.
DOI
How to cite this article:
Furkan Berat Genc, Ibrahim Savas Dalmis*, OPTIMIZATION OF SURFACE ROUGHNESS IN MILLING ALUMINUM 7075-T6 USING THE TAGUCHI METHOD, UNITECH – SELECTED PAPERS - 2025