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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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To obtain higher accuracy in FEM simulations the incorporation of microstructure evolution models becomes more and more important. From the point of view of metal physics it is well known that effects like recrystallization and deformation texture have a big influence on the material properties, especially the mechanical ones. The present article will give an overview about parts of the research activities in the Collaborative Research Centre (SFB 370) of the Deutsche Forschungsgemeinschaft (DFG). Three different types of microstructure models have been developed at the IMM and were coupled at the IBF to an implicit FEM code. The so-called flow-stress model is based on dislocation density evolution to describe the flow curve of metals, mainly at high temperatures. The Taylor-type model is able to describe deformation texture during metal forming. The third model is a modified cellular automaton to predict grain size and microstructure evolution during static recrystallization. The simulation of a rolling trial of the Al-alloy AA3104 including the named three models has been made and the results will be validated with experimental findings.

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