Review on modeling and simulation of dynamic recrystallization of martensitic stainless steels during bulk hot deformation

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dc.contributor.authorDerazkola, Hamed Aghajani
dc.contributor.authorGarcía Gil, Eduardo
dc.contributor.authorMurillo Marrodán, Alberto
dc.contributor.authorConde Fernández, Aintzane
dc.date.accessioned2025-10-17T10:51:41Z
dc.date.available2025-10-17T10:51:41Z
dc.date.issued2022-04-04
dc.date.updated2025-10-17T10:51:41Z
dc.description.abstractBulk hot deformation is a relatively old manufacturing technique widely adopted in different industry fields to form and shape different metallic alloys. Martensitic stainless steels (MSS) are a class of metals used in industries with extreme conditions. Hot forming of this class of steels is a highly complex process comprising several highly coupled thermo-chemo-physical phenomena. The complex microstructural changes of MSS make it challenging to develop an overall system of governing equations for theoretically analyzing the behavior of MSS during the hot deformation process. Modeling and simulation analysis have frequently been used to minimize the number of experiments often used to find MSS behavior during hot deformations. This review paper deals with the latest developments in the numerical analysis of material behavior, microstructural simulation, and artificial intelligence methods for MSS during the hot deformation process. Important numerical issues in macro and micro-scale models, such as various materials flow modeling, finite element methods, cellular automaton, and artificial neural networks, are discussed. Macro-scale analysis of hot deformation will allow many manufacturing processes to understand the effects of changes in different strain and strain rates before physical testing. Micro-scale analysis of hot deformation will allow understanding physical phenomena concerning dynamic recrystallization, plastic deformation energy, and microstructure size. The main methods used in the MSS hot deformation process simulation are discussed and illustrated with brief case studies. In addition, several critical vital problems and issues remain to be addressed about this topic, and opportunities for further research are identified.en
dc.description.sponsorshipEuropean Union’s Horizon 2020 Research and Innovation Programme under the Marie Skłodowska-Curie grant agreement No. 847624. In addition, a number of institutions back and co-finance this projecten
dc.identifier.citationAghajani Derazkola, H., Garcia, E., Murillo-Marrodán, A., & Conde Fernandez, A. (2022). Review on modeling and simulation of dynamic recrystallization of martensitic stainless steels during bulk hot deformation. Journal of Materials Research and Technology, 18, 2993-3025. https://doi.org/10.1016/J.JMRT.2022.03.179
dc.identifier.doi10.1016/J.JMRT.2022.03.179
dc.identifier.issn2238-7854
dc.identifier.urihttps://hdl.handle.net/20.500.14454/4015
dc.language.isoeng
dc.publisherElsevier Editora Ltda
dc.rights© 2022 The Author(s)
dc.subject.otherDynamic recrystallization
dc.subject.otherHot deformation
dc.subject.otherMartensitic stainless steel
dc.subject.otherMathematical modeling
dc.titleReview on modeling and simulation of dynamic recrystallization of martensitic stainless steels during bulk hot deformationen
dc.typereview article
dcterms.accessRightsopen access
oaire.citation.endPage3025
oaire.citation.startPage2993
oaire.citation.titleJournal of Materials Research and Technology
oaire.citation.volume18
oaire.licenseConditionhttps://creativecommons.org/licenses/by/4.0/
oaire.versionVoR
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