Optimization of Burr size, Surface Roughness and Circularity Deviation during Drilling of Al 6061 using Taguchi Design Method and Artificial Neural Network

Main Article Content

Reddy Sreenivasulu


This paper presents the influence of cutting parameters like cutting speed, feed rate, drill diameter, point angle and clearance angle on the burr size, surface roughness and circularity deviation of Al 6061 during drilling on CNC vertical machining center. A plan of experiments based on Taguchi technique has been used to acquire the data. An orthogonal array, signal to noise (S/N) ratio and analysis of variance (ANOVA) are employed to investigate machining characteristics of Al 6061 using HSS twist drill bits of variable tool geometry and maintain constant helix angle of 45 degrees. Confirmation tests have been carried out to predict the optimal setting of process parameters to validate the used approach, obtained the values of 0.2618mm, 0.1821mm, 3.7451µm, 0.0676mm for burr height, burr thickness, surface roughness and circularity deviation respectively. Finally, artificial neural network has been applied to compare the predicted values with the experimental values, good agreement was shown between the predictive model results and the experimental measurements.

Article Details

Author Biography


Assistant Professor in Mechanical Engineering Department


DAVIM, J. P.; REIS, P. (2003) Drilling carbon fiber reinforced plastic manufactured by auto clave experimental and statistical study. Materials and Design, v. 24, n. 5, p. 315-324,

FURNESS, R. J.; WU, C. L.; ULSOY, A. G. (1996) Statistical analysis of the effects of feed, speed, and wear of hole quality in drilling. Journal of Manufacturing Science and Engineering, v. 118, n. 3, p. 367-375

KURT, M.; BAGCI, E.; KAYNAK, Y. (2009) Application of Taguchi methods in the optimization of cutting parameters for surface finish and hole diameter accuracy in dry drilling processes. International Journal of Advanced Manufacturing Technology, v. 40, n. 5-6, p. 458-469

NALBANT, M.; GOKKAYA, H.; SUR, G. (2007) Application of Taguchi method in the optimization of cutting parameters for surface roughness in turning. Materials and Design, v. 28, n. 4, p. 1379-1385.

TSAO, C. C.; HOCHENG, H. (2008) Evaluation of thrust force and surface roughness in drilling composite material using Taguchi analysis and neural network. Journal of Materials Processing Technology, v. 203, n. 1-3, p. 342-348.

YANG, J. L.; CHEN, J. C. (2001) A systematic approach for identifying optimum surface roughness performance in end-milling operations. Journal of Industrial Technology, v. 17, n. 2, p. 1-8.

Most read articles by the same author(s)