Experimental Study on Drilling Process of CFRP Composite Laminate

Article Preview

Abstract:

This thesis deals with carbon fiber reinforced plastics (CFRP) composites, an advanced material which is widely used in manufacturing aircrafts because of their unique mechanical and physical properties. The research mainly involved drilling of CFRP. This study is focused on analyzing the thrust force and delamination against drilling parameters namely feed rate, spindle speed and type of tool materials. Also, the optimal parameters were chosen using an optimization method called D optimal. It was observed that the higher the feed rate and spindle speed employed, the higher the thrust force and delamination occur. The split point fibre (SPF) drill gave the lowest values of thrust force and delamination. Based on the optimal parameters, a verification test was conducted and the prediction error was 2.3% and 5.6% for thrust force and delamination respectively. This shows, that the optimal parameters obtained is reliable as it could improve the process considerably. The results of this study could be used as a reference for further research and studies on drilling of CFRP.

You might also be interested in these eBooks

Info:

Periodical:

Materials Science Forum (Volumes 638-642)

Pages:

927-932

Citation:

Online since:

January 2010

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2010 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] F. Lachaud, R. Piquet, F. Collombet and L. Surcin: Compos. Struct. Vol. 52 (2001), p.511.

Google Scholar

[2] R. Teti: Manuf. Technol. Vol. 51 (2002), p.611.

Google Scholar

[3] K. Ogawa, E. Aoyama, H. Inoue, T. Hirogaki, H. Nobe, Y. Kitahara, T. Katayama and M. Gunjima: Compos. Struct. Vol. 38 (1997), p.343.

DOI: 10.1016/s0263-8223(97)00069-x

Google Scholar

[4] E. Capello: J. Mater. Process. Technol. Vol. 148 (2004), p.186.

Google Scholar

[5] J. P. Davim and Pedro Reis: Comp. Struct. Vol. 59 (2003), p.481.

Google Scholar

[6] Asif Iqbal , He Ning, Iqbal Khan, Li Liang and Naeem Ullah Dar: J. Mater. Process. Technol. Vol. 199 (2007), p.379.

Google Scholar

[7] E. Ugo. Enemuoh, A. Sherif El-Gizawy and A. Chukwujekwu Okafor: Int. J. Mach. Tools Manufac. Vol. 41 (2001), p.1795.

Google Scholar

[8] D.C. Montgomery, E.A. Peck, and G.G. Vining: Introduction to Linear Regression Analysis (John Wiley & Sons, Inc, New York 2001).

Google Scholar

[9] Information on http: /www. kennametal. com.

Google Scholar

[10] R. Piquet, F. Ferret, F. Lachaud and P. Swider: Compos. Part A: Appl. Sci. Manuf. Vol. 31 (2000), p.1107.

Google Scholar