Cargando…

Simulation of Continuous Dynamic Recrystallization Using a Level-Set Method

Dynamic recrystallization is one of the main phenomena responsible for microstructure evolution during hot forming. Consequently, obtaining a better understanding of dynamic recrystallization mechanisms and being able to predict them is crucial. This paper proposes a full-field numerical framework t...

Descripción completa

Detalles Bibliográficos
Autores principales: Grand, Victor, Flipon, Baptiste, Gaillac, Alexis, Bernacki, Marc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9739099/
https://www.ncbi.nlm.nih.gov/pubmed/36500041
http://dx.doi.org/10.3390/ma15238547
_version_ 1784847719139901440
author Grand, Victor
Flipon, Baptiste
Gaillac, Alexis
Bernacki, Marc
author_facet Grand, Victor
Flipon, Baptiste
Gaillac, Alexis
Bernacki, Marc
author_sort Grand, Victor
collection PubMed
description Dynamic recrystallization is one of the main phenomena responsible for microstructure evolution during hot forming. Consequently, obtaining a better understanding of dynamic recrystallization mechanisms and being able to predict them is crucial. This paper proposes a full-field numerical framework to predict the evolution of subgrain structures upon grain growth, continuous dynamic recrystallization, and post-dynamic recrystallization. To be able to consider a subgrain structure, two strategies are proposed. One relies on a two-step tessellation algorithm to generate a fully substructured microstructure. The second strategy enables for the simulation of the formation of new subgrains during hot deformation. Using these tools, the grain growth of a fully substructured microstructure is modeled. The influence of microstructure topology, subgrain parameters, and some remaining stored energy due to plastic deformation is discussed. The results highlight that the selective growth of a limited number of subgrains is observed only when mobility is a sigmoidal function of disorientation. The recrystallization kinetics predicted with different criteria for discrimination of recrystallized grains are quantitatively compared. Finally, the ability of the framework to model continuous dynamic and post-dynamic recrystallization is assessed upon a case study representative of the hot extrusion of a zircaloy-4 billet ([Formula: see text] °C [Formula: see text]). The influence of grain boundary properties and nucleation rules are quantified to evaluate the model sensitivity and suitability. Application of these numerical tools to other thermomechanical conditions and microstructures will be presented in an upcoming article.
format Online
Article
Text
id pubmed-9739099
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-97390992022-12-11 Simulation of Continuous Dynamic Recrystallization Using a Level-Set Method Grand, Victor Flipon, Baptiste Gaillac, Alexis Bernacki, Marc Materials (Basel) Article Dynamic recrystallization is one of the main phenomena responsible for microstructure evolution during hot forming. Consequently, obtaining a better understanding of dynamic recrystallization mechanisms and being able to predict them is crucial. This paper proposes a full-field numerical framework to predict the evolution of subgrain structures upon grain growth, continuous dynamic recrystallization, and post-dynamic recrystallization. To be able to consider a subgrain structure, two strategies are proposed. One relies on a two-step tessellation algorithm to generate a fully substructured microstructure. The second strategy enables for the simulation of the formation of new subgrains during hot deformation. Using these tools, the grain growth of a fully substructured microstructure is modeled. The influence of microstructure topology, subgrain parameters, and some remaining stored energy due to plastic deformation is discussed. The results highlight that the selective growth of a limited number of subgrains is observed only when mobility is a sigmoidal function of disorientation. The recrystallization kinetics predicted with different criteria for discrimination of recrystallized grains are quantitatively compared. Finally, the ability of the framework to model continuous dynamic and post-dynamic recrystallization is assessed upon a case study representative of the hot extrusion of a zircaloy-4 billet ([Formula: see text] °C [Formula: see text]). The influence of grain boundary properties and nucleation rules are quantified to evaluate the model sensitivity and suitability. Application of these numerical tools to other thermomechanical conditions and microstructures will be presented in an upcoming article. MDPI 2022-11-30 /pmc/articles/PMC9739099/ /pubmed/36500041 http://dx.doi.org/10.3390/ma15238547 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Grand, Victor
Flipon, Baptiste
Gaillac, Alexis
Bernacki, Marc
Simulation of Continuous Dynamic Recrystallization Using a Level-Set Method
title Simulation of Continuous Dynamic Recrystallization Using a Level-Set Method
title_full Simulation of Continuous Dynamic Recrystallization Using a Level-Set Method
title_fullStr Simulation of Continuous Dynamic Recrystallization Using a Level-Set Method
title_full_unstemmed Simulation of Continuous Dynamic Recrystallization Using a Level-Set Method
title_short Simulation of Continuous Dynamic Recrystallization Using a Level-Set Method
title_sort simulation of continuous dynamic recrystallization using a level-set method
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9739099/
https://www.ncbi.nlm.nih.gov/pubmed/36500041
http://dx.doi.org/10.3390/ma15238547
work_keys_str_mv AT grandvictor simulationofcontinuousdynamicrecrystallizationusingalevelsetmethod
AT fliponbaptiste simulationofcontinuousdynamicrecrystallizationusingalevelsetmethod
AT gaillacalexis simulationofcontinuousdynamicrecrystallizationusingalevelsetmethod
AT bernackimarc simulationofcontinuousdynamicrecrystallizationusingalevelsetmethod