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

Τράκα, Κωνσταντίνα; Sedighiani, Karo; Bos, C.; Lopez, Jesus Galan; Angenendt, Katja; Raabe, Dierk; Sietsma, Jilt

doi:10.1016/j.commatsci.2021.110643

Cited by 13 publications

(7 citation statements)

References 70 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…these areas act as successful nucleation sites for recrystallization. This leads to the well-known γ -fiber recrystallization texture appearing after annealing of the cold-rolled IF-steel sheet [6,51,54] .…”

Section: Shear Localizationmentioning

confidence: 99%

“…Characterization and understanding of these deformation heterogeneities and the associated microstructural evolution during plastic deformation play a critical role in identifying the underlying mechanisms behind many physical phenomena. For instance, a thorough physical understanding of the mechanisms leading to recrystallization is not feasible without properly characterizing microstructural evolution during plastic deformation [1][2][3][4][5][6][7] . Moreover, damage formation, fracture, and failure in metals are also often related to deformation localization and microstructures formed during deformation [8][9][10][11] .…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Crystal plasticity simulation of in-grain microstructural evolution during large deformation of IF-steel

et al. 2022

Self Cite

View full text Add to dashboard Cite

Section: Shear Localizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Crystal plasticity simulation of in-grain microstructural evolution during large deformation of IF-steel

et al. 2022

Self Cite

View full text Add to dashboard Cite

“…Therefore, the formulated problem is solved in the framework of the advanced statistical model of inelastic deformation, which permits the consideration of the interactions between adjacent structural elements (subgrains, grains) [ 27 , 34 ]. The modeling of coalescence for a representative volume of subgrains with consideration of their geometry as similar to real three-dimensional geometry is a laborious and complex task [ 35 , 36 , 37 ]. Most models of recrystallization that deal with subgrain coalescence are simplified models.…”

Section: Introductionmentioning

confidence: 99%

A Multilevel Physically Based Model of Recrystallization: Analysis of the Influence of Subgrain Coalescence at Grain Boundaries on the Formation of Recrystallization Nuclei in Metals

et al. 2023

View full text Add to dashboard Cite

This paper considers the influence of subgrain coalescence at initial high-angle boundaries on the initiation and growth of recrystallization nuclei (subgrains) under thermomechanical treatment. With certain processing regimes, adjacent subgrains in polycrystalline materials can be assembled into clusters during coalescence. Subgrain clusters at high-angle boundaries are the preferred potential nuclei of recrystallization. Coalescence is one of the dynamic recovery mechanisms, a competing process to recrystallization. When intensive coalescence develops on both sides of the grain boundary, recrystallization slows down or even stops. The problem formulated is solved using a multilevel modeling apparatus with internal variables. Application of the statistical multilevel model modified to take into account the local interaction between crystallites makes it possible to explicitly describe dynamic recrystallization and recovery. The results of modeling the behavior of a copper sample are presented and the effects of temperature, deformation velocity and subgrain structure on the formation and growth of recrystallization nuclei at arbitrary and special grain boundaries during coalescence are analyzed.

show abstract

“…Crystal Plasticity Finite Element (CPFE) models are among the most advanced and powerful tools to model deformation microstructures at the micrometer scale [2]. Recently, Traka et al [3] reported that a CPFE model in combination with a cellular automaton model can be employed to simulate thermally activated processes such as recovery and static recrystallization. Numerically CPFE models benefit from the Fast Fourier spectral solver method, which allows to speed up drastically numerical integration compared to conventional solvers [4,5].…”

Section: Introductionmentioning

confidence: 99%

Topological aspects of mean-field crystallographically resolved models

Kestens

Minh

Avendaño

et al. 2022

IOP Conf. Ser.: Mater. Sci. Eng.

View full text Add to dashboard Cite

It is well-known that the crystallographic texture of a polycrystalline aggregate can be represented by the Orientation Distribution Function (ODF). A similar statistical approach can be extended to other microstructural state variables that are of relevance in the context of obtaining microstructurally based and quantitatively accurate structure-properties relations. In principle such statistical representations are of a non-topological nature, in contrast to an RVE (Representative Volume Element) description of the microstructure. However, by including additional variables to the statistical descriptor specific features of the topology may be taken into account. In this paper the example will be shown on how the plastic anisotropy simulation of a conventional deep drawing grade of Interstitial Free (IF) steel can be improved by considering the crystallographic misorientation of pairs of neighboring crystals, which represent the basic structural units of the 2-point mean field ALAMEL crystal plasticity model. In another example it will be shown how the recrystallization texture of the same deep drawing IF steel can be modelled with improved accuracy if the Strain Induced Boundary Mechanism (SIBM) is taken into account whereby a crystal orientation of low stored energy grows into a neighboring orientation of high stored energy.

show abstract

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

Cited by 13 publications

References 70 publications

Crystal plasticity simulation of in-grain microstructural evolution during large deformation of IF-steel

Crystal plasticity simulation of in-grain microstructural evolution during large deformation of IF-steel

A Multilevel Physically Based Model of Recrystallization: Analysis of the Influence of Subgrain Coalescence at Grain Boundaries on the Formation of Recrystallization Nuclei in Metals

Topological aspects of mean-field crystallographically resolved models

Contact Info

Product

Resources

About