Finite Element Modeling of Frictional and Material Anisotropy During Forming of Steel Cylindrical Cups

Article Preview

Abstract:

The article presents a method of determining the anisotropic friction model in metal forming using multilayer artificial neural networks based on experimental data obtained from the pin-on-disk tribometer. The experimental results show that the friction coefficient depends on the measured angle from the rolling direction and corresponds to the surface topography. Both the friction and material anisotropic models were implemented into a finite element (FE) model built using the commercial FE-package ABAQUS/Standard. When both the material and friction anisotropy are taken into account in the finite element analysis, this approach gives the most approximate numerical results to real processes.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

3-6

Citation:

Online since:

September 2015

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2015 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] X. Ma, G. Zhao and W. Li: Appl. Mech. Mater. Vols. 268-270 (2013), p.430.

Google Scholar

[2] T. Trzepieciński: Arch. Civ. Mech. Eng. Vol. 10 (2010), p.95.

Google Scholar

[3] T. Trzepieciński and H.L. Gelgele: Int. J. Mater. Form. Vol. 4 (2011), p.357.

Google Scholar

[4] L. Fratini, S. Lo Casto and E. Lo Valvo: J. Mater. Process. Tech. Vol. 172 (2006), p.16.

Google Scholar

[5] H.G. Lemu and T. Trzepieciński: Stroj. Vestn. -J. Mech. E. Vol. 59 (2013), p.41.

Google Scholar

[6] M. Sedlaček, L.M.S. Vilhena and J. Vižintin: Stroj. Vestn. - J. Mech. E. Vol. 57 (2011), p.674.

Google Scholar

[7] ABAQUS version 6. 7 - Theory Manual (Dassault Syst`emes, USA 2011).

Google Scholar

[8] M. Larsson: J. Mater. Process. Tech. Vol. 209 (2009), p.376.

Google Scholar

[9] R. Hill: Proc Royal Soc London A193 (1948), p.281.

Google Scholar