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3D level set modeling of static recrystallization considering stored energy fields
- Source :
- Computational Materials Science, Computational Materials Science, Elsevier, 2016, 122, pp.57-71. ⟨10.1016/j.commatsci.2016.04.045⟩
- Publication Year :
- 2016
- Publisher :
- Elsevier BV, 2016.
-
Abstract
- International audience; In the last decades, many numerical models have been proposed to simulate thermomechanical treatments and their related effects on the microstructure. The present study deals with a relatively recent full field model using the level set method within a finite element framework. The ability of this approach to consider static recrystallization in two and three dimensions with nucleation has been demonstrated in previous studies (Bernacki et al., 2008, 2009). Although accurate, this model lies on a numerical formalism which is rather inefficient from a numerical point of view and do not permit to consider complex 3D aggregates in reasonable computation times. The present paper introduces a new efficient implementation of the static recrystallization (SRX) model which aims to overcome this limitation by taking full advantage of recent numerical developments (Shakoor et al., 2015; Scholtes et al., 2015). Its efficiency is evaluated through large scale 3D simulations of SRX with several thousand of grains. Acceleration factors of up to 40 are obtained, compared with the existing implementation. The predictions in terms of evolution of the recrystallized fraction are also confronted with classical analytic models and experimental results from literature, showing good agreement.
- Subjects :
- Level set method
General Computer Science
Computer science
Computation
Nucleation
General Physics and Astronomy
02 engineering and technology
Level-set
01 natural sciences
[SPI.MAT]Engineering Sciences [physics]/Materials
Static recrystallization
0103 physical sciences
General Materials Science
Statistical physics
010302 applied physics
Recrystallization (metallurgy)
General Chemistry
Numerical models
Full field
021001 nanoscience & nanotechnology
Full field modeling
Finite element method
Computational Mathematics
Mechanics of Materials
Stored energy
0210 nano-technology
Subjects
Details
- ISSN :
- 09270256
- Volume :
- 122
- Database :
- OpenAIRE
- Journal :
- Computational Materials Science
- Accession number :
- edsair.doi.dedup.....66924c352da3d2752c20dd38f1c10d89
- Full Text :
- https://doi.org/10.1016/j.commatsci.2016.04.045