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  Topological aspects responsible for recrystallization evolution in an IF-steel sheet – Investigation with cellular-automaton simulations

Traka, K., Sedighiani, K., Bos, C., Lopez, J. G., Angenendt, K., Raabe, D., et al. (2021). Topological aspects responsible for recrystallization evolution in an IF-steel sheet – Investigation with cellular-automaton simulations. Computational Materials Science, 198: 110643. doi:10.1016/j.commatsci.2021.110643.

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Topological aspects responsible for recrystallization evolution in an IF-steel sheet – Investigation with cellular-automaton simulations _ Elsevier Enhanced Reader.pdf (Publisher version), 5MB
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Topological aspects responsible for recrystallization evolution in an IF-steel sheet – Investigation with cellular-automaton simulations _ Elsevier Enhanced Reader.pdf
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2021
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The Author(s). Published by Elsevier B.V.

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 Creators:
Traka, Konstantina1, 2, Author              
Sedighiani, Karo2, 3, Author              
Bos, Cornelis4, 5, Author              
Lopez, Jesus Galan6, Author              
Angenendt, Katja7, Author              
Raabe, Dierk8, Author              
Sietsma, Jilt6, Author              
Affiliations:
1Department of Materials Science and Engineering, TU Delft, Mekelweg 2, 2628 CD Delft, The Netherlands, ou_persistent22              
2Theory and Simulation, Microstructure Physics and Alloy Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society, ou_1863392              
3Department of Materials Science and Engineering, Delft University of Technology, Mekelweg 2, 2628 CD, Delft, The Netherlands, ou_persistent22              
4Tata Steel Europe, IJmuiden, The Netherlands, ou_persistent22              
5Department of Materials Science and Engineering, TU Delft, Mekelweg 2, Delft 2628 CD, The Netherlands, ou_persistent22              
6Technische Universiteit Delft, Mekelweg 5, 2628 CD Delft, The Netherlands, ou_persistent22              
7Microscopy and Diffraction, Microstructure Physics and Alloy Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society, ou_1863391              
8Microstructure Physics and Alloy Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society, ou_1863381              

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Free keywords: Cellular automata; Coarsening; Cold rolled steel; Cold rolling; Crystal orientation; Metal cladding; Nucleation; Recrystallization (metallurgy); Shear bands; Steel sheet; Textures; Topology, Abnormal subgrain growths; Cellular automata algorithms; Cellular automata simulations; Cellular automatons; Coarsenings; Deformed state; IF steel; Recrystallisation; Shear band nucleation; Subgrains, Crystallization
 Abstract: A cellular automaton algorithm for curvature-driven coarsening is applied to a cold-rolled interstitial-free steel's microstructure - obtained through electron backscatter diffraction (EBSD). Recrystallization nucleation occurs naturally during the simulation, due to the highly heterogeneous and hence competitive growth among pre-existing (sub) grains. The spatial inhomogeneity of the subgrain growth that takes place derives from the large local variations of subgrain sizes and misorientations that comprise the prior deformed state. The results show that capillary-driven selective growth takes place to the extent that the prior elongated and deformed grains are replaced by equiaxed grains with no interior small-angle boundaries. Additionally, during the simulation certain texture components intensify and others vanish, which indicates that preferential growth occurs in a fashion that relates to the crystal orientations’ topology. The study of the early stages of recrystallization (i.e. nucleation) shows that the pre-existing subgrains that eventually recrystallize, exhibit certain topological characteristics at the prior deformed state. Successful nucleation occurs mostly for pre-existing matrix subgrains abutting shear bands or narrow deformation bands and particularly at regions where the latter intersect. © 2021 The Author(s)

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 Dates: 2021-10
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1016/j.commatsci.2021.110643
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Title: Computational Materials Science
  Abbreviation : Comput. Mater. Sci.
Source Genre: Journal
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Publ. Info: Amsterdam : Elsevier
Pages: - Volume / Issue: 198 Sequence Number: 110643 Start / End Page: - Identifier: ISSN: 0927-0256
CoNE: https://pure.mpg.de/cone/journals/resource/954925567766