The complete through-process modelling of crystallographic texture evolution during aluminium sheet production is addressed. The texture determining processes deformation and recrystallization are analysed with respect to the underlying mechanisms. The advanced deformation texture model grain interaction (GIA) is coupled to a statistical analytical recrystallization texture model (StaRT). New concepts are described to model nucleation spectra for recrystallization with the GIA model and with a new model for the prediction of in grain orientation gradients. Orientation dependent recovery of the deformed structure is reflected based on substructure information extracted from the GIA model. A finite element (FE) model incorporating dislocation density based work hardening as well as texture serves as a process model to describe the macroscopic production parameters based on microstructural information. More detailed information on this integrative FE model can be found in a second paper presented at this symposium by Neumann et al. The excellent performance of the outlined through-process texture modelling concept is demonstrated in applications for two different aluminium sheet production lines—one laboratory and one industrial process—and displays for the first time the possibility of modelling texture evolution throughout various consecutive processing steps.

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An overview of simulation of casting, homogenization, and hot rolling of an aluminium alloy is addressed in this paper. The microstructure models used to describe casting, solidification, precipitation (growth and coarsening) during homogenization, deformation texture evolution, and the work hardening behaviour are presented as well as their respective theoretical backgrounds. Emphasis is placed on interfacing the microstructure models with each other between the processing steps. This makes it possible to take into account microstructural changes that occur early during processing during later production steps. Along with this overview, reference will be made to previously presented simulation and experimental results-for validation-where appropriate.

A through-process texture and anisotropy prediction for AA5182 sheet production from hot rolling through cold rolling and annealing is reported. Thermo-mechanical process data predicted by the finite element method (FEM) package T-Pack based on the software LARSTRAN were fed into a combination of physics based microstructure models for deformation texture (GIA), work hardening (3IVM), nucleation texture (ReNuc), and recrystallization texture (StaRT). The final simulated sheet texture was fed into a FEM simulation of cup drawing employing a new concept of interactively updated texture based yield locus predictions. The modelling results of texture development and anisotropy were compared to experimental data. The applicability to other alloys and processes is discussed.

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