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A phase inversion benchmark for multiscale multiphase flows
- Source :
- Journal of Computational Physics, Journal of Computational Physics, Elsevier, 2022, 450, pp.110810. ⟨10.1016/j.jcp.2021.110810⟩, Journal of Computational Physics, Elsevier, 2021, pp.110810. ⟨10.1016/j.jcp.2021.110810⟩
- Publication Year :
- 2020
- Publisher :
- HAL CCSD, 2020.
-
Abstract
- A series of benchmarks based on the physical situation of "phase inversion" between two immiscible liquids is presented. These benchmarks aim at progressing toward the direct numerical simulation of two-phase flows. Several CFD codes developed in French laboratories and using either Volume-of-Fluid or Level-Set interface tracking methods are used to provide physical solutions of the benchmarks, convergence studies and code comparisons. Two typical configurations are retained, with integral scale Reynolds numbers of 13.700 and 433.000, respectively. The physics of the problem are probed through macroscopic quantities such as potential and kinetic energies, or enstrophy. In addition, scaling laws for the temporal decay of the kinetic energy are derived to check the physical relevance of the simulations. Finally the droplet size distribution is probed. Additional test problems are also reported to estimate the influence of viscous effects in the vicinity of the interface.<br />35 pages, 35 figures, third revision submitted to J. Comput. Phys
- Subjects :
- Water-oil flow
Mécanique des fluides
Volume of fluid
FOS: Physical sciences
Condensed Matter - Soft Condensed Matter
Benchmark
Volume of Fluid method
Physics::Fluid Dynamics
[SPI]Engineering Sciences [physics]
Multiphase flow benchmark
[INFO]Computer Science [cs]
[PHYS.MECA.MEFL]Physics [physics]/Mechanics [physics]/Fluid mechanics [physics.class-ph]
Phase inversion
[MATH]Mathematics [math]
ComputingMilieux_MISCELLANEOUS
[PHYS]Physics [physics]
Volume of fluid method
Fluid Dynamics (physics.flu-dyn)
Level-set method
Phase inversion flow
Physics - Fluid Dynamics
Computational Physics (physics.comp-ph)
Level set
Atomization
Multiphase flows
Soft Condensed Matter (cond-mat.soft)
Level-Set method
Ghost fluid
Physics - Computational Physics
Subjects
Details
- Language :
- English
- ISSN :
- 00219991 and 10902716
- Database :
- OpenAIRE
- Journal :
- Journal of Computational Physics, Journal of Computational Physics, Elsevier, 2022, 450, pp.110810. ⟨10.1016/j.jcp.2021.110810⟩, Journal of Computational Physics, Elsevier, 2021, pp.110810. ⟨10.1016/j.jcp.2021.110810⟩
- Accession number :
- edsair.doi.dedup.....3ff1c8c1af40a5c494bf460bb4cdb353
- Full Text :
- https://doi.org/10.1016/j.jcp.2021.110810⟩