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AuthorAzarbarmas M.
AuthorMirjavadi S.S.
AuthorGhasemi A.
AuthorHamouda A.M.
Available date2019-11-03T11:47:40Z
Publication Date2018
Publication NameMetals
ISSN20754701
URIhttp://dx.doi.org/10.3390/met8110923
URIhttp://hdl.handle.net/10576/12248
AbstractTitanium alloys with high stacking-fault energy show continuous dynamic recrystallization (CDRX) instead of discontinuous dynamic recrystallization (DDRX) during high-temperature deformation. During the CDRX mechanism, new recrystallized grains are generated by the progressive increasing of the low-angle boundary misorientations. In the present work, the CDRX phenomenon was modeled by using a cellular automaton (CA)-based method. The size of seeds was determined based on a phenomenological approach, and then the number and distribution of recrystallized grains as well as the topological changes were applied by utilizing the CA approach. In order to verify the capacity of the proposed model for predicting the microstructural characteristics, the experimental data of the hot-compressed TiNiFe alloy were used. Results showed that the presented model can accurately estimate the fraction of the recrystallized area. Moreover, the macroscopic flow curves of the alloy were well predicted by the present model. � 2018 by the authors. Licensee MDPI, Basel, Switzerland.
Languageen
PublisherMDPI AG
SubjectCellular automaton
SubjectContinuous dynamic recrystallization
SubjectMicrostructural modeling
SubjectPhenomenological approach
TitleA combined method to model dynamic recrystallization based on cellular automaton and a phenomenological (CAP) approach
TypeArticle
Issue Number11
Volume Number8


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