Coupling crystal plasticity and cellular automaton models to study meta-dynamic recrystallization during hot rolling at high strain rates

Journal Article (2022)
Author(s)

V. Shah (Max-Planck-Institut für Eisenforschung)

Karo Sedighiani (Max-Planck-Institut für Eisenforschung, Tata Steel, TU Delft - Team Kevin Rossi)

Jan Steven van Dokkum (TU Delft - Team Kevin Rossi)

Cornelis Bos (Tata Steel, TU Delft - Team Kevin Rossi)

F. Roters (Max-Planck-Institut für Eisenforschung)

Martin Diehl (Katholieke Universiteit Leuven)

Research Group
Team Kevin Rossi
Copyright
© 2022 V. Shah, K. Sedighiani, J.S. van Dokkum, C. Bos, F. Roters, M. Diehl
DOI related publication
https://doi.org/10.1016/j.msea.2022.143471
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 V. Shah, K. Sedighiani, J.S. van Dokkum, C. Bos, F. Roters, M. Diehl
Research Group
Team Kevin Rossi
Volume number
849
Reuse Rights

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Abstract

Predicting microstructure and (micro-)texture evolution during thermo-mechanical processing requires the combined simulation of plastic deformation and recrystallization. Here, a simulation approach based on the coupling of a full-field dislocation density based crystal plasticity model and a cellular automaton model is presented. A regridding/remeshing procedure is used to transfer data between the deformed mesh of the large-strain crystal plasticity model and the regular grid of the cellular automaton. Moreover, a physics based nucleation criterion has been developed based on dislocation density difference and changes in orientation due to deformation. The developed framework is used to study meta-dynamic recrystallization during double-hit compression tests and multi-stand rolling in high-resolution representative volume elements. These simulations reveal a good agreement with experimental results in terms of texture evolution, mechanical behaviour and growth kinetics, while enabling insights regarding the effect of nucleation on kinetics and crystallographic texture evolution.