An extended quadrature-based mass-velocity moment model for polydisperse bubbly flows
Abstract
Abstract Accurately predicting polydisperse bubbly flow is a nontrivial task due to the complexity of the bubble number density function (NDF) and the strong dependence of the instantaneous bubble velocity on the bubble size and shape. To describe polydisperse bubbly flow, a joint mass‐velocity NDF is adopted in this work. In the absence of mass transfer between phases and coalescence or breakage, the bubble mass is a conserved quantity from which the bubble size and shape can be found given the liquid pressure and surface tension. Quadrature‐based moment methods (QBMM) are applied to solve numerically the kinetic equation of the joint NDF using the extended quadrature method of moments (EQMOM) coupled with an open‐source incompressible Navier–Stokes solver for the liquid phase. Transport equations for the joint mass‐velocity moments are derived from a kinetic equation for the joint NDF and closure is attained using a monokinetic NDF valid in the limit of small bubble Stokes number. The integer moments with respect to mass are used to reconstruct the continuous univariate NDF with EQMOM, while the joint mass‐velocity moments are used to determine the bubble velocity as a continuous function of the bubble mass. The model is first applied to simulate a quasi‐2‐D bubble column with different aeration profiles and a narrow bubble size distribution in order to validate the approach with experimental data from the literature. Additional cases with a wide continuous bubble size distribution are used to show the ability of the modelling approach to describe polydisperse bubbly flows.
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EQMOM implemented in OpenFOAM for a quasi 2D bubble column yields numerical results agreeing well with experimental ones in time-averaged axial liquid velocity profile and time-averaged gas volume fraction.
“Yuan et al. [329] implemented the EQMOM in the open-source code OpenFOAM ® to simulate the fluid flow of a quasi 2D bubble column. Numerical results agree well with experimental ones, in terms of time-averaged axial liquid velocity profile and time-averaged gas volume fraction.”
From Modeling and Simulation of Photobioreactors with Computational Fluid Dynamics—A Comprehensive Review (2022) · cites this paper as [329]
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- Authors
- Yuan, C., Kong, B., Passalacqua, A., & Fox, R. O.
- Affiliations
- Iowa State University (US)
- Venue
- The Canadian Journal of Chemical Engineering
- Publisher
- Wiley
- Published
- 2014-10
- Volume
- 92
- Issue
- 12
- Pages
- 2053-2066
- ISSN
- 0008-4034 (ISSN-L)
- 1939-019X
- OpenAlex
- W1998655311
- Cited by
- 23
- References
- 32
- Citations by year
- 2026: 1 · 2025: 1 · 2023: 1 · 2022: 1 · 2021: 1 · 2020: 3 · 2019: 6 · 2018: 2 · 2017: 1 · 2016: 4 · 2015: 2
- FWCI
- 1.21
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The Canadian Journal of Chemical Engineering (publishedVersion)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Fluid Dynamics and Mixing
- Physical Sciences › Environmental Science › Water Science and Technology › Minerals Flotation and Separation Techniques
- Physical Sciences › Engineering › Ocean Engineering › Particle Dynamics in Fluid Flows
- Keywords
- quadrature-based moment methods, bubble size distribution, bubble velocity, kinetic equations, Stokes number, bubble column, two-phase flow modeling
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