On the simulation of recrystallization textures using a 3D monte carlo model

Knut Marthinsen, Egil Fjeldberg

Department of Materials Science and Engineering, Norwegian University of Science & Technology,,N-7491 Trondheim, Norway.

DOI:

https://doi.org/10.7494/cmms.2012.3.0391

Abstract:

The texture predictions of a 3D Potts Monte Carlo (MC) model have been investigated. The model simulations are based on limited experimental input, i.e. only the initial deformation texture (i.e. a typical aluminium rolling texture) in terms of an orientation distribution function (ODF). The MC model predictions have been compared to texture simulations by a statistical recrystallization texture model due to Engler, which has been successfully applied to simulate recrystallization textures for a variety of Al alloys. In general the MC texture predictions are not satisfactory and in some cases deviate considerably from the predictions given by the Engler model. In particular, the Cube texture component, which often dominates recrystallization textures in aluminium alloys, is generally underestimated while on the other hand the retained deformation texture is too strong. The sensitivity of the texture predictions to variations in simulation conditions, related mainly to growth aspects, as well as local texture effects, is found to be limited. However, by artificially increasing the nucleation probability of Cube or by adding a small volume fraction of Cube to the nucleation texture, a significant increase of Cube may be obtained. This observation emphasise the nucleation aspect, i.e. oriented nucleation, as a key to adequately model recrystallization textures.

Cite as:

Marthinsen, K., & Fjeldberg, E. (2012). On the simulation of recrystallization textures using a 3D monte carlo model. Computer Methods in Materials Science, 12(3), 137 – 151. https://doi.org/10.7494/cmms.2012.3.0391

Article (PDF):