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Mesoscale modeling of continuous dynamic recrystallization in Ti-10V-2Fe-3Al alloy.
- Source :
-
International Journal of Mechanical Sciences . Jun2024, Vol. 271, pN.PAG-N.PAG. 1p. - Publication Year :
- 2024
-
Abstract
- • A CA model based on CDRX mechanisms was developed to investigate the substructure evolution of the Ti-10V-2Fe-3Al alloy. • The accuracy of the CA simulation was improved by integrating subgrain formation and rotation models. • The moderate high temperature of 750 ℃ is more conducive to the misorientation increasing and transformation of LAGBs to HAGBs. • A high volume fraction of α -phase with a small grain size could significantly promote the CDRX process. Continuous dynamic recrystallization (CDRX) is the dominant restoration mechanism of near- β titanium alloys during hot deformation. But till now, there is seldom visual modeling of the process which limits its industrial application. Based on CDRX mechanisms characterized by low-angle grain boundaries (LAGBs) formed and partially transformed into high-angle grain boundaries (HAGBs), the present study established a cellular automata (CA) model to investigate the substructure evolution and mechanical response of Ti-10V-2Fe-3Al alloy. Besides, a new set of equations for subgrain rotation considering the effect of the α -phase was integrated into the CA model to improve its applicability in titanium alloy. The model was validated by experimental results and then applied to predict the substructure evolution during hot working. Simulation analysis revealed that, except for high strain rates and temperatures, a high fraction of α / β phase boundaries could also promote the development of CDRX. The proposed CA model provided an effective method for microstructure optimization in hot forging of the Ti-10V-2Fe-3Al alloy. [Display omitted] [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00207403
- Volume :
- 271
- Database :
- Academic Search Index
- Journal :
- International Journal of Mechanical Sciences
- Publication Type :
- Academic Journal
- Accession number :
- 176993208
- Full Text :
- https://doi.org/10.1016/j.ijmecsci.2024.109303