Authors :
Yuanyuan Cheng
Volume/Issue :
Volume 10 - 2025, Issue 8 - August
Google Scholar :
https://tinyurl.com/ydvs7acp
Scribd :
https://tinyurl.com/e7jdnppn
DOI :
https://doi.org/10.38124/ijisrt/25aug778
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Abstract :
This study optimizes milling parameters to suppress burr formation in aluminum alloys (5A06, 6061, 6063) using
Taguchi L9 orthogonal experiments and ANOVA. Cutting speed (1000-5000 r/min), feed rate (0.01-0.1 mm/r), and depth of
cut (1-5 mm) were evaluated for exit-side (B1) and side-direction (B2) burr dimensions. Signal-to-noise ratio analysis
identified optimal parameters: 5000 r/min speed, 0.055 mm/r feed, 1 mm depth for 5A06/6061, and 5000 r/min, 0.01 mm/r
feed, 1 mm depth for 6063. Parameter influence hierarchies revealed feed rate dominant for 5A06/6061, while cutting speed
most critical for 6063, with depth of cut least impactful across all alloys. ANOVA statistically validated these trends,
confirming alloy-specific control mechanisms. Validation achieved up to 90% burr reduction, providing a practical
framework to eliminate deburring in aluminum milling processes.
Keywords :
Burr; Milling; Signal to Noise; Analysis of Variance; Taguchi Method.
References :
- Andrey Toropov, Sung-Lim Ko, Byung-Kwon Kim (2005). Experimental study of burrs formed in feed direction when turning aluminum alloy Al6061-T6. International Journal of Machine Tools & Manufacture, 45: 1015-1022.
- Zhijie Zou, Liangwei Liu, Binglin Li, Wenjun Deng (2016) Research on burr formation mechanism in metal cutting with a backup material. Int J Adv Manuf Technol, 86: 1895-1907.
- Hashimura M., Chang Y. P., Dornfeld D. A. (1999) Analysis of burr formation mechanism in orthogonal cutting. Journal of Manufacturing Science and Engineering, 121: 1-7
- Chern G. L. (2006) Study on mechanisms of burr formation and edge breakout near the exit of orthogonal cutting. J Mater Process Technol, 176: 152-157.
- Avinash A. Thakre, Shashank Soni (2016) Modeling of burr size in drilling of aluminium silicon carbide composites using response surface methodology. Engineering Science and Technology, an International Journal, 19: 1199-1205
6. Gongyu Liu, Jiaqiang Dang, Yaofeng Chen, Dapeng Dong, Qinglong An (2019) Numerical and experimental investigation on grinding-induced exit burr formation. The International Journal of Advanced Manufacturing Technology, 103: 2331-2346.
This study optimizes milling parameters to suppress burr formation in aluminum alloys (5A06, 6061, 6063) using
Taguchi L9 orthogonal experiments and ANOVA. Cutting speed (1000-5000 r/min), feed rate (0.01-0.1 mm/r), and depth of
cut (1-5 mm) were evaluated for exit-side (B1) and side-direction (B2) burr dimensions. Signal-to-noise ratio analysis
identified optimal parameters: 5000 r/min speed, 0.055 mm/r feed, 1 mm depth for 5A06/6061, and 5000 r/min, 0.01 mm/r
feed, 1 mm depth for 6063. Parameter influence hierarchies revealed feed rate dominant for 5A06/6061, while cutting speed
most critical for 6063, with depth of cut least impactful across all alloys. ANOVA statistically validated these trends,
confirming alloy-specific control mechanisms. Validation achieved up to 90% burr reduction, providing a practical
framework to eliminate deburring in aluminum milling processes.
Keywords :
Burr; Milling; Signal to Noise; Analysis of Variance; Taguchi Method.