Finite Element Analysis of β-Titanium during Equal Channel Angular Extrusion

Article Preview

Abstract:

The finite element analysis was applied to evaluate the respective influences of die geometry and process conditions on plastic strain distribution for β-titanium (Ti-13V11Cr3Al) during the equal channel angular extrusion. It was found that optimum ECAE die geometry is strongly material dependent. Optimal strain homogeneity in the Ti-13V11Cr3Al alloy may be achieved at r (inner radius) =5mm, R (outer radius) =3mm. The equivalent plastic strain increases with increasing friction coefficient. And the better homogeneity of the equivalent plastic strain distribution can be achieved when m=0.1. The faster is the ram speed, the lower is the homogeneity of the equivalent plastic strain distribution. The back-pressure can increase the strain level across the workpiece and prevent the problem of surface cracking induced by tensile stresses. The distribution of the plastic strain is not temperature sensitive between 400°C and 600°C.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 399-401)

Pages:

1702-1707

Citation:

Online since:

November 2011

Export:

Price:

[1] V.M. Segal, V.I. Reznikov, A.E. Drobyshevskiy and V.I. Kopylov: Russian Metallurgy (English translation) Vol. 1 (1981), p.99

Google Scholar

[2] V.M. Segal: Materials Science and Engineering Vol. A197 (1995), p.157

Google Scholar

[3] B. Aour, F. Zaїri, M. Naїt-Abdelaziz, J.M. Gloaguen, O. Rahmani and J.M. Lefebvre: International Journal of Mechanical Sciences Vol. 50 (2008), p.589

Google Scholar

[4] J.R. Bowen, A. Gholinia, S.M. Roberts and P.B. Prangnell: Mater. Sci. Eng. Vol. A287 (2000), p.87

Google Scholar

[5] V.V. Stolyarov, R. Lapovok, I.G. Brodova and P.F. Thomson: Mater. Sci. Eng. Vol. A357 (2003), p.159

Google Scholar

[6] V.V. Stolyarov and R. Lapovok: J. Alloy. Comp. Vol. 378 (2004), p.233

Google Scholar

[7] S. Li, MAM. Bourke, I.J. Beyerlein, D.J. Alexander and B. Clausen: Materials Science and Engineering Vol. A382 (2004), p.217

Google Scholar

[8] A.V. Nagasekhar and Y. Tick-Hon: Computational Materials Science Vol. 30 (2004), p.489

Google Scholar

[9] W.J. Zhao, H. Ding, Y.P. Ren, S.M. Hao, J. Wang and J.T. Wang: Materials Science and Engineering Vol. A410-411 (2005), p.348

Google Scholar

[10] H.S. Kim, Y. Estrin: Materials Science and Engineering Vol. A410-411 (2005) , p.285

Google Scholar

[11] P.B. Prangnell, C. Harris, S.M. Roberts: Scripta Materialia Vol. 37 (1997) , p.983

Google Scholar

[12] J.Y. Suh, H.S. Kim, J.W. Park, J.Y. Chang: Scripta Materialia Vol. 44 (2001) , p.677

Google Scholar

[13] S.L. Semiatin, D.P. Delo, E.B. Shell: Acta Materialia Vol. 48 (2000) , p.1841

Google Scholar

[14] H.S. Kim: Materials Science and Engineering Vol. A328 (2002) , p.317

Google Scholar