Mapping the Crystal Orientation Distribution Function to Discrete Orientations in Crystal Plasticity Finite Element Forming Simulations of Bulk Materials

Franz Roters

doi:10.4028/www.scientific.net/MSF.519-521.803

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HomeMaterials Science ForumMaterials Science Forum Vols. 519-521Mapping the Crystal Orientation Distribution...

Mapping the Crystal Orientation Distribution Function to Discrete Orientations in Crystal Plasticity Finite Element Forming Simulations of Bulk Materials

Abstract:

The crystal plasticity finite element method (CPFEM) is probably the method with the best potential to directly incorporate crystal anisotropy and its evolution into forming simulations. However, when it comes to the simulation of bulk materials, the representation of the crystal orientation distribution function (ODF), i.e. of the statistical texture, within the CPFEM framework becomes a key issue for the efficiency of the approach. In this work two different approaches for sampling the ODF are compared. The first is the so called Texture-Component-CPFEM, where the discretisation is based on the representation of the ODF by texture components. The second approach is based on the representation of the ODF by series expansion and uses a direct mapping of the ODF represented in the form of C-coefficients to individual orientations as needed by the CPFEM. Both methods are compared using the textures of Aluminum hot band as well as cold rolled material.

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Periodical:

Materials Science Forum (Volumes 519-521)

Pages:

803-808

DOI:

https://doi.org/10.4028/www.scientific.net/MSF.519-521.803

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Online since:

July 2006

Authors:

Franz Roters

Keywords:

Anisotropy, Crystal Orientation, Crystal Plasticity Finite Element Method, Earing, Forming Simulation, Orientation Distribution Function (ODF), Texture

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References

[1] D. Raabe, P. Klose, B. Engl, K. -P. Imlau, F. Friedel and F. Roters: Advanced Engineering Materials Vol. 4 (2002), p.169.

DOI: 10.1002/1527-2648(200204)4:4<169::aid-adem169>3.0.co;2-g

Google Scholar

[2] K. Lücke, J. Pospiech, K. H. Virnich and J. Jura: Acta Metall. Vol. 29 (1981), p.312.

Google Scholar

[3] K. Helming, R. A. Schwarzer, B. Rauschenbach, S. Geier, B. Leiss, H. -R. Wenk, K. Ulllemeier and J. Heinitz: Cryst. Res. Technol. Vol. 25 (1990), p. K203.

Google Scholar

[4] Z. Zhao, F. Roters, W. Mao and D. Raabe: Advanced Engineering Materials Vol. 3 (2001), p.984.

Google Scholar

[5] D. Raabe and F. Roters: Int. J. Plasticity Vol. 20 (2004), p.339.

Google Scholar

[6] H. Bunge: Texture Analysis in Materials (Butterworths London 1982).

Google Scholar