Surface Roughness Prediction of 6061-T6 Aluminum Alloy in Milling Using Statistical Method


  • สมเสียง จันทาสี
  • ศิริชัย ปั้นสมสกุล


Spindle speed, Feed rate, Depth of cut, Surface roughness, 6061-T6 Aluminum alloy


This research aims to study the factors affecting the surface roughness of 6061-T6 aluminum alloy and determine the regression model for predicting the surface roughness in precision milling process by CNC machine. The factorial designs of experiments were conducted on 3 factors. Three factors, namely spindle speed, feed rate and depth of cut were studied in the experimental design. The experimental results indicated that the significant factors were main effect of spindle speed and feed rate. Interaction factors that do not significantly affect to the surface roughness. The regression model was established and used to determine the minimum surface roughness with spindle speed of 2000 revolution per minute, feed rate of 100 millimeter per minute and depth of cut of 1.0 millimeter. After verification experiments, the significance and validity of the models were confirmed. Therefore, it could be concluded that established regression model was the reliable tool to predict the surface roughness of 6061-T6 aluminum alloy.


[1] Mold and Die Industry Development, Mold Operational Manual, Repair and Maintenance Dies of Techniques, Chonburi: Thai-German Institute.
[2] Chalie Tragangoon, CNC Technology, Technology Promotion Association (Thailand-Japan), 2005.
[3] K.Kadirgama, M.M Noor, M.M.Rahman, M.R.M. Rejab, Haron, CHC & Abou-El-Hossein, KA, “Surface Roughness Prediction Model of 6061-T6 Aluminium Alloy Machining Using Statistical Method,” European Journal of Scientific Research, Vol.25, pp.250-256, January, 2009.
[4] K.Kadirgam, M.M.Noor, N.M.Zuki.N.M, M.M. Rahman, M.R.M. Rejab, R. Daud, K.A.Abou-El-Hossein, “Optimization of Surface Roughness in End Milling on Mould Aluminium Alloys (AA6061-T6) Using Response Surface Method and Radian Basis Function Network,” Jordan Journal of Mechanical and Industrial Engineering, Vol.2, No.4, pp.209-214, December, 2008.
[5] Halil Demir, Süleyman Gündüz, “The Effects of Aging on Machinability of 6061 Aluminum Alloy,” Materials & Design, Vol.30, No.4, pp.1480-1483, May, 2009.
[6] Mathew A. Kuttolamadom, Sina Hamzehlouia, M. Laine Mears, “Effect of Machining Feed on Surface Roughness in Cutting 6061 Aluminum,” SAE International Journal of Materials and Manufacturing, Vol.3, No.1, pp.108-119, 2010.
[7] W.Y.H. Liew, “The Effect of Air in the Machining of Aluminium Alloy,” Tribology Letters, Vol.17, No.1, pp.41-49, July, 2004.
[8] S. Chantasee and S. Punsomsakul, “Surface Roughness Prediction of 6061-T6 Aluminum Alloy in Milling Using Regression Model,” KKU Research Journal, Vol.19, No.2, pp.293-304, 2014.




How to Cite

จันทาสี ส. . . and ปั้นสมสกุล ศ. . ., “Surface Roughness Prediction of 6061-T6 Aluminum Alloy in Milling Using Statistical Method”, Eng. & Technol. Horiz., vol. 33, no. 2, pp. 77–83, Jun. 2020.



Research Articles