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Resolving subgrid-scale structures for multiphase flows using a filament moment-of-fluid method.

Authors :
Hergibo, Philippe
Phillips, Timothy N.
Xie, Zhihua
Source :
Computers & Fluids. Dec2024, Vol. 285, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

Multiphase flows are present in many industrial and engineering applications as well as in some physical phenomena. Capturing the interface between the phases for complex flows is challenging and requires an accurate method, especially to resolve fine-scale structures. The moment-of-fluid (MOF) method improves drastically the accuracy of interface reconstruction compared to previous geometrical methods. Instead of refining the mesh to capture increased levels of detail, the MOF method, which uses zeroth and first moments as well as a conglomeration algorithm, enables subgrid structures such as filaments to be captured at a small extra cost. Coupled to a finite volume Navier–Stokes solver, the MOF method has been tested on a fixed grid and validated using well-known benchmark problems such as dam break flows, the Rayleigh–Taylor and Kelvin–Helmholtz instability problems, and a rising bubble. The ability of the novel filament MOF method to capture the filamentary structures that eventually form for the Rayleigh–Taylor instability and rising bubble problems is assessed. Good agreement has been found with other numerical results and experimental measurements available in the literature. • Coupling between Navier–Stokes solver and filament MOF method, implicit and explicit solvers, respectively. • Subgrid-scale structures resolved using filament techniques involving face and node velocities on a Cartesian grid. • Approaching second-order grid convergence for the MOF method. • Good agreement with several benchmark test cases in the literature. • Resolution of filaments for the Rayleigh–Taylor instability and rising bubble to avoid unphysical breakups. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00457930
Volume :
285
Database :
Academic Search Index
Journal :
Computers & Fluids
Publication Type :
Periodical
Accession number :
180928202
Full Text :
https://doi.org/10.1016/j.compfluid.2024.106455