Experimental Study on Optimizing the Effect of Drilling Parameters on Roundness Error of Holes of Aluminum 7075 Using Response Surface Methodology

Article Preview

Abstract:

In the present work, an experimental study has been made to optimize the drilling process parameters. Response surface methodology based on central composite design (CCD) has been used to study and analyze the experiments. Twist drill diameter, cutting speed and feed of drilling were chosen as variables to study the process performance for the responses of the hole surface quality (Ra) and the roundness error on aluminum 7075. Experiments were performed on a newly designed experimental setup developed in the laboratory. The results identified the most important parameters to maximize the hole surface quality and minimize roundness error. Finally, regression equations were obtained to predict the responses for different values of variables.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

981-987

Citation:

Online since:

June 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Li Xiuming *, Shi Zhaoyao, Evaluation of roundness error from coordinate data using curvature technique , International Journal of Measurment 43 (2010) 164-168.

DOI: 10.1016/j.measurement.2009.09.002

Google Scholar

[2] M. Marcos-B´arcena , M.A. Sebasti´an-P´erez , J.P. Contreras-Samper , M. S´anchez-Carrilero , M. S´anchez-L´opez, J.M. S´anchez-Sola , Study of roundness on cylindrical bars turned of aluminium–copper alloys UNS A92024,Journal of Materials Processing Technology 162–163 (2005) 644–648

DOI: 10.1016/j.jmatprotec.2005.02.061

Google Scholar

[3] X.L. Wen, Q.G. Xia, Y.B. Zhao, An effective genetic algorithm for circularity error unified evaluation, International Journal of Machine Tools and Manufacture 46 (2006) 1770–1777.

DOI: 10.1016/j.ijmachtools.2005.11.015

Google Scholar

[4] Jyunping Huang, An exact solution for the roundness evaluation problems, Precision Engineering 23 (1999) 2–8.

Google Scholar

[5] U. Roy, X. Zhang, Development and application of Voronoi diagrams in the assessment of roundness error in an industrial environment, Computers and Industrial Engineering 26 (1994) 11–26.

DOI: 10.1016/0360-8352(94)90024-8

Google Scholar

[6] Jyunping Huang, A new strategy for circularity problems, Precision Engineering 25 (2001) 301–308.

Google Scholar

[7] Saga M, Maruyama N. Characterization of nano-scale fine precipitates in Al– Mg–Si alloys for automotive applications. Nippon Steel Tech Rep 2005;91:38–42.

Google Scholar

[8] Hsieh CS, Zhu H, Wei TY, Chung ZJ, Yang WD, Ling YH. Applying the experimental statistical method to deal the preparatory conditions of nanometric-sized TiO2 powders from a two-emulsion process. J Eur Ceram Soc 2008;28:1177–83.

DOI: 10.1016/j.jeurceramsoc.2007.10.002

Google Scholar

[9] Hou TH, Su CH, Liu WL. Parameters optimization of a nano-particle wet milling process using the taguchi method, response surface method and genetic algorithm. Powder Technol 2007;173:153–62.

DOI: 10.1016/j.powtec.2006.11.019

Google Scholar

[10] Lin BT, Jean MD, Chou JH. Using response surface methodology with response transformation in optimizing plasma spraying coatings. Int J Adv Manuf Technol 2007; 34: 307–15.

DOI: 10.1007/s00170-006-0599-y

Google Scholar

[11] B. Bhattacharya, S.K. Sorkhel, Investigation for controlled electrochemical machining through response surface methodology based approach, J. Mater. Process. Technol. 86 (1999) 200–207.

DOI: 10.1016/s0924-0136(98)00311-2

Google Scholar