Modelling the relationship between deformed microstructures and static recrystallization textures: application to ferritic stainless steels
Arthur Despr\'es, Jean-Denis Mithieux, Chad. W. Sinclair

TL;DR
This paper introduces a novel microstructure-based model to predict static recrystallization textures in deformed crystalline materials, validated through simulations on ferritic stainless steel and aligned with experimental data.
Contribution
The study develops an original approach linking microstructure anisotropy to recrystallization texture development, using direct measurements from orientation maps.
Findings
Model accurately predicts recrystallization textures in ferritic stainless steel.
High alpha fibre orientations result from microstructure prevalence, not growth preference.
Controlling initial microstructure can influence final recrystallization textures.
Abstract
We present an original approach for predicting the static recrystallization texture development during annealing 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 parameters are measured directly on orientation maps 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 investigation of the formation sequence of the recrystallization texture. A…
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