Quantification of multi-stage recrystallization in low-alloy steel under varying deformation conditions using inhomogeneous-dislocation-density 3D cellular automaton

• A 3D CA model incorporating a gradient distribution of dislocation density and grain-boundary sliding was developed. • A phenomenological constitutive model was modified by incorporating the varying time for 50 % DRX fraction and residual softening effects resulting from first-stage recrystallization. • The influence of multi-stage recrystallization on softening behavior was quantified. • The mechanism responsible for microstructural difference under constant and varying deformation conditions was studied. In the thermoforming process, alloys experience severe plastic deformation under varying temperatures and strain rates, complicating dynamic recrystallization (DRX) behavior. Current DRX models developed under constant deformation conditions have limited accuracy in predicting complex stress and microstructure evolutions. This work develops a 3D cellular automaton (CA) model to precisely predict the DRX microstructure and flow stress of low-alloy steel under varying deformation conditions. The model incorporates dislocation density gradients and grain-boundary sliding to quantify dislocation density evolutions in matrix and multi-stage recrystallization grains during hot compression. Parameter variables related to dislocation accumulation and annihilation are derived from a new phenomenological constitutive model, in which the variation of the time for 50 % DRX fraction and the residual softening induced by the first-stage recrystallization are considered. CA simulation results illustrate that the stress softening following peak stress after transiently increasing the Zener-Hollomon parameter Z P is attributed to the refinement of matrix and first-stage DRX grains (DRXGs I ) resulting from dislocation differences. DRXGs I cannot be fully refined due to delayed nucleation of second-stage DRX grains (DRXGs II ), resulting in a greater final grain size. After decreasing Z P , even if the DRX fraction increases to levels under constant conditions, some matrix still exhibits higher dislocation density due to an inhomogeneous-dislocation-density distribution. This accelerates DRXGs I growth to a size similar to that under the constant condition, producing a stress-decreasing rate that closely matches experimental findings. The proposed simulation framework not only contributes to visualizing multi-stage recrystallization but also aids in quantitative microstructure control during hot forging.

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Publication Details

Journal
International Journal of Plasticity
Published
2025-04-26
DOI
https://doi.org/10.1016/j.ijplas.2025.104353
Citations
5
Primary Topic
Metallurgy and Material Forming
Type
article
Field-Weighted Citation Impact
4.32

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article

Quantification of multi-stage recrystallization in low-alloy steel under varying deformation conditions using inhomogeneous-dislocation-density 3D cellular automaton

Dongchu Yang, Lifeng Lu, Debin Shan, Jian Yao et al.
5 citations
International Journal of Plasticity
Metallurgy and Material Forming
4.32
article

Quantification of multi-stage recrystallization in low-alloy steel under varying deformation conditions using inhomogeneous-dislocation-density 3D cellular automaton

Dongchu Yang, Lifeng Lu, Debin Shan, Jian Yao, Xueze Jin, Wenchen Xu, Bin Guo, Jiawei Xu, Wu He, He, Weijin Zhao, Shaoshun Bian
article en
5 citations

Abstract

• A 3D CA model incorporating a gradient distribution of dislocation density and grain-boundary sliding was developed. • A phenomenological constitutive model was modified by incorporating the varying time for 50 % DRX fraction and residual softening effects resulting from first-stage recrystallization. • The influence of multi-stage recrystallization on softening behavior was quantified. • The mechanism responsible for microstructural difference under constant and varying deformation conditions was studied. In the thermoforming process, alloys experience severe plastic deformation under varying temperatures and strain rates, complicating dynamic recrystallization (DRX) behavior. Current DRX models developed under constant deformation conditions have limited accuracy in predicting complex stress and microstructure evolutions. This work develops a 3D cellular automaton (CA) model to precisely predict the DRX microstructure and flow stress of low-alloy steel under varying deformation conditions. The model incorporates dislocation density gradients and grain-boundary sliding to quantify dislocation density evolutions in matrix and multi-stage recrystallization grains during hot compression. Parameter variables related to dislocation accumulation and annihilation are derived from a new phenomenological constitutive model, in which the variation of the time for 50 % DRX fraction and the residual softening induced by the first-stage recrystallization are considered. CA simulation results illustrate that the stress softening following peak stress after transiently increasing the Zener-Hollomon parameter Z P is attributed to the refinement of matrix and first-stage DRX grains (DRXGs I ) resulting from dislocation differences. DRXGs I cannot be fully refined due to delayed nucleation of second-stage DRX grains (DRXGs II ), resulting in a greater final grain size. After decreasing Z P , even if the DRX fraction increases to levels under constant conditions, some matrix still exhibits higher dislocation density due to an inhomogeneous-dislocation-density distribution. This accelerates DRXGs I growth to a size similar to that under the constant condition, producing a stress-decreasing rate that closely matches experimental findings. The proposed simulation framework not only contributes to visualizing multi-stage recrystallization but also aids in quantitative microstructure control during hot forging.

International Journal of PlasticityVol. 190
Guangdong University of Technology (CN), Harbin Institute of Technology (CN)
National Natural Science Foundation of China, Key Technologies Research and Development Program, National Key Research and Development Program of China
Openalex Percentile: Top 6%
Metallurgy and Material Forming
4.32
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