Texture Evolution in Pure Copper Processed by Equal Channel Angular Extrusion with Extended Processing Routes

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Abstract:

An experimental characterization of texture evolution during equal channel angular extrusion (ECAE) of pure copper was conducted up to 8 passes considering an extended range of processing routes. These routes are featured by 0°, 45°, 90°, 135°, and 180° rotation about the billet longitudinal axis after each pass, and were designated as R0, R45, R90, R135, and R180, respectively. They were implemented using new die designs with the cross-section of the die channels as a 24-sided regular convex polygon and with die angle (Φ) of 90° and 120°, respectively. X-ray diffraction measurements show that for both die sets, the textures developed via the different routes all show orientation concentrations along fibers with the {111} planes parallel to the macroscopic simple shear plane and <110> directions parallel to the macroscopic simple shear direction, yet the locations and orientation densities of the main texture components vary significantly with the pass number and the processing route. After 4 to 8 passes, the texture is found to be the weakest via route R180 for both die sets, and strongest via R0 or R45. For a given route and pass number, the texture developed with Φ = 120° is generally weaker than its counterpart with Φ = 90°. These results thus confirm the general tendencies of texture development in face-centered cubic metals with {111}<110> slip as the dominant deformation mechanisms, albeit in a wide range of processing route or deformation history.

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Materials Science Forum (Volumes 667-669)

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271-276

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December 2010

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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[1] V.M. Segal: Mater. Sci. Eng. A Vol. 197 (1995), p.157.

Google Scholar

[2] R.Z. Valiev and T.G. Langdon: Prog. Mater. Sci. Vol. 51 (2006), p.881.

Google Scholar

[3] M. Furukawa, Y. Iwahashi, Z. Horita, M. Nemoto and T.G. Langdon: Mater. Sci. Eng. A Vol. 257 (1998), p.328.

Google Scholar

[4] S. Li, I.J. Beyerlein and M.A.M. Bourke: Mater. Sci. Eng. A Vol. 394 (2005), p.66.

Google Scholar

[5] S. Li, I.J. Beyerlein, D.J. Alexander and S.C. Vogel: Acta Mater. Vol. 53 (2005), p.2111.

Google Scholar

[6] S. Li, A.A. Gazder, I.J. Beyerlein, C.H.J. Davies and E.V. Pereloma: Acta Mater. Vol. 55 (2007), p.1017.

Google Scholar

[7] H.J. Bunge: Texture Analysis in Materials Science (Butterworth, London, 1982).

Google Scholar

[8] P. Van Houtte: The MTM-FHM, software system (Katholieke Universiteit Leuven, Leuven, 2000).

Google Scholar

[9] F. Montheillet, M. Cohen and J.J. Jonas: Acta Metall. Vol. 32 (1984), p. (2077).

Google Scholar

[10] L.S. Tóth, P. Gilormini and J.J. Jonas, Acta Metall. Vol. 36 (1988), p.3077.

Google Scholar