Modelling the relationship between deformed microstructures and static recrystallization textures: Application to ferritic stainless steels

We present an original approach for predicting the static recrystallization texture development during an-nealing of deformed crystalline materials. The microstructure is considered as a population of subgrains and grains whose sizes and boundary properties determine their growth rates. The model input param-eters are measured directly on orientation maps of the deformed microstructure measured by electron backscattered diffraction. The anisotropy in subgrain properties then drives a competitive growth giving rise to the recrystallization texture development. The method is illustrated by a simulation of the static recrystallization texture development in a hot rolled ferritic stainless steel. The model predictions are found to be in good agreement with the experimental measurements, and allow for an in-depth investi-gation of the formation sequence of the recrystallization texture. A distinction is established between the texture components which develop due to favorable growth conditions and those developing due to their predominance in the prior deformed state. The high fraction of alpha fibre orientations in the recrystallized state is shown to be a consequence of their predominance in the deformed microstructure rather than a preferred growth mechanism. A close control of the fraction of these orientations before annealing is thus required to minimize their presence in the recrystallized state. (C) 2021 Acta Materialia Inc. Published by Elsevier Ltd. All rights reserved.