Prediction of different recrystallisation textures under a single unified physics-based model description
- Author
- Konstantina Traka, Estefania Andrea Sepúlveda Hernández (UGent) , Tuan Nguyen Minh (UGent) , Karo Sedighiani, Jilt Sietsma and Leo Kestens (UGent)
- Organization
- Abstract
- This work investigates the formation of the recrystallisation microstructure and texture of various single-phase ferrite low-carbon steels that were rolled at different temperatures and of which the deformation microstructure was characterized by high resolution electron backscatter diffraction (EBSD). Three cases are considered: (i) cold-rolled interstitial-free (IF) steel, warm-rolled IF steel at 550 degrees C and warm rolled Fe-Si steel at 900 degrees C (below the austenitization temperature due to Si). It is well-known that the deformation texture after flat rolling of single-ferrite low carbon steels exhibits the characteristic alpha/gamma-fiber texture, i.e. <110>//Rolling Direction (RD) and <111>//Normal Direction (ND), irrespective of the rolling temperature, as long as there is no concurrent phase transformation. However, different recrystallisation textures appear as a function of the rolling temperature. Generally speaking, the gamma-fiber recrystallisation texture is obtained after cold rolling, whereas the theta-fiber components ( <100>//ND) intensify at the expense of the gamma-fiber orientations with increasing rolling temperature. Although these phenomena are well-known, the reasons for this behavior in terms of preferential orientation selection remain as yet unclear. In the present paper, recrystallisation microstructures and textures are simulated with a full-field cellular-automaton (CA) description, whereby recrystallisation from its incipient stage is considered as a process of sub-grain coarsening controlled by the well-known physical laws of driving force and kinetics. The simulations integrate in one single model the various conditions that give rise to the observed temperature dependence of the evolving static recrystallisation texture and microstructure. The different rolling temperatures will give rise to different initial microstructures at the onset of recrystallisation with noticeable variations in short-range orientation gradients in gamma and theta-fiber orientations, respectively. The mere application of local grain-boundary migration laws on the topology of the deformation structure, without imposing any specific nucleation selection criterion, will properly balance the dominance of gamma-fiber grains after cold-rolling and theta-fiber orientations after warm rolling. Finally, the well-known nucleation of Goss orientations ({110}<001>) in shear bands occurring in gamma-fiber grains is also simulated in this single conceptual framework. Graphical abstract
- Keywords
- Recrystallisation texture, Recrystallisation nucleation, Full-field simulation, Abnormal subgrain growth, Deformation temperature, GRAIN-GROWTH, ANNEALING TEXTURES, STATIC RECRYSTALLIZATION, LOW-CARBON, MICROSTRUCTURE, ORIENTATION, STEEL, SIMULATION, EVOLUTION, DEFORMATION
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01JHMCFAXFK4MMK7014B4G4YSB
- MLA
- Traka, Konstantina, et al. “Prediction of Different Recrystallisation Textures under a Single Unified Physics-Based Model Description.” COMPUTATIONAL MATERIALS SCIENCE, vol. 246, 2025, doi:10.1016/j.commatsci.2024.113425.
- APA
- Traka, K., Sepúlveda Hernández, E. A., Nguyen Minh, T., Sedighiani, K., Sietsma, J., & Kestens, L. (2025). Prediction of different recrystallisation textures under a single unified physics-based model description. COMPUTATIONAL MATERIALS SCIENCE, 246. https://doi.org/10.1016/j.commatsci.2024.113425
- Chicago author-date
- Traka, Konstantina, Estefania Andrea Sepúlveda Hernández, Tuan Nguyen Minh, Karo Sedighiani, Jilt Sietsma, and Leo Kestens. 2025. “Prediction of Different Recrystallisation Textures under a Single Unified Physics-Based Model Description.” COMPUTATIONAL MATERIALS SCIENCE 246. https://doi.org/10.1016/j.commatsci.2024.113425.
- Chicago author-date (all authors)
- Traka, Konstantina, Estefania Andrea Sepúlveda Hernández, Tuan Nguyen Minh, Karo Sedighiani, Jilt Sietsma, and Leo Kestens. 2025. “Prediction of Different Recrystallisation Textures under a Single Unified Physics-Based Model Description.” COMPUTATIONAL MATERIALS SCIENCE 246. doi:10.1016/j.commatsci.2024.113425.
- Vancouver
- 1.Traka K, Sepúlveda Hernández EA, Nguyen Minh T, Sedighiani K, Sietsma J, Kestens L. Prediction of different recrystallisation textures under a single unified physics-based model description. COMPUTATIONAL MATERIALS SCIENCE. 2025;246.
- IEEE
- [1]K. Traka, E. A. Sepúlveda Hernández, T. Nguyen Minh, K. Sedighiani, J. Sietsma, and L. Kestens, “Prediction of different recrystallisation textures under a single unified physics-based model description,” COMPUTATIONAL MATERIALS SCIENCE, vol. 246, 2025.
@article{01JHMCFAXFK4MMK7014B4G4YSB,
abstract = {{This work investigates the formation of the recrystallisation microstructure and texture of various single-phase ferrite low-carbon steels that were rolled at different temperatures and of which the deformation microstructure was characterized by high resolution electron backscatter diffraction (EBSD). Three cases are considered: (i) cold-rolled interstitial-free (IF) steel, warm-rolled IF steel at 550 degrees C and warm rolled Fe-Si steel at 900 degrees C (below the austenitization temperature due to Si). It is well-known that the deformation texture after flat rolling of single-ferrite low carbon steels exhibits the characteristic alpha/gamma-fiber texture, i.e. <110>//Rolling Direction (RD) and <111>//Normal Direction (ND), irrespective of the rolling temperature, as long as there is no concurrent phase transformation. However, different recrystallisation textures appear as a function of the rolling temperature. Generally speaking, the gamma-fiber recrystallisation texture is obtained after cold rolling, whereas the theta-fiber components ( <100>//ND) intensify at the expense of the gamma-fiber orientations with increasing rolling temperature. Although these phenomena are well-known, the reasons for this behavior in terms of preferential orientation selection remain as yet unclear. In the present paper, recrystallisation microstructures and textures are simulated with a full-field cellular-automaton (CA) description, whereby recrystallisation from its incipient stage is considered as a process of sub-grain coarsening controlled by the well-known physical laws of driving force and kinetics. The simulations integrate in one single model the various conditions that give rise to the observed temperature dependence of the evolving static recrystallisation texture and microstructure. The different rolling temperatures will give rise to different initial microstructures at the onset of recrystallisation with noticeable variations in short-range orientation gradients in gamma and theta-fiber orientations, respectively. The mere application of local grain-boundary migration laws on the topology of the deformation structure, without imposing any specific nucleation selection criterion, will properly balance the dominance of gamma-fiber grains after cold-rolling and theta-fiber orientations after warm rolling. Finally, the well-known nucleation of Goss orientations ({110}<001>) in shear bands occurring in gamma-fiber grains is also simulated in this single conceptual framework. Graphical abstract}},
articleno = {{113425}},
author = {{Traka, Konstantina and Sepúlveda Hernández, Estefania Andrea and Nguyen Minh, Tuan and Sedighiani, Karo and Sietsma, Jilt and Kestens, Leo}},
issn = {{0927-0256}},
journal = {{COMPUTATIONAL MATERIALS SCIENCE}},
keywords = {{Recrystallisation texture,Recrystallisation nucleation,Full-field simulation,Abnormal subgrain growth,Deformation temperature,GRAIN-GROWTH,ANNEALING TEXTURES,STATIC RECRYSTALLIZATION,LOW-CARBON,MICROSTRUCTURE,ORIENTATION,STEEL,SIMULATION,EVOLUTION,DEFORMATION}},
language = {{eng}},
pages = {{12}},
title = {{Prediction of different recrystallisation textures under a single unified physics-based model description}},
url = {{http://doi.org/10.1016/j.commatsci.2024.113425}},
volume = {{246}},
year = {{2025}},
}
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