OPTIMIZATION OF SURFACE ROUGHNESS IN MILLING ALUMINUM 7075-T6 USING THE TAGUCHI METHOD

TITLE: OPTIMIZATION OF SURFACE ROUGHNESS IN MILLING ALUMINUM 7075-T6 USING THE TAGUCHI METHOD
AUTHOR(S): F. B. Genc, I. S. 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.
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DOWNLOAD: Vol72-2026.pdf
HOW TO CITE THIS ARTICLE: F. B. Genc, I. S. Dalmis, OPTIMIZATION OF SURFACE ROUGHNESS IN MILLING ALUMINUM 7075-T6 USING THE TAGUCHI METHOD. Journal of the Technical University of Gabrovo. 72 (2026).