LAPSE:2023.2394
Published Article
LAPSE:2023.2394
Prediction of Horizontal Gas−Liquid Segregated Flow Regimes with an All Flow Regime Multifluid Model
Marco Colombo, Andrea De Santis, Bruce C. Hanson, Michael Fairweather
February 21, 2023
Abstract
The generalized multifluid modelling approach (GEMMA) has been developed to handle the multiplicity of flow regimes and the coexistence of interfaces of largely different scales in multiphase flows. The solver, based on the OpenFOAM reactingEulerFoam family of solvers, adds interface resolving-like capabilities to the multifluid solver in the cells occupied by large interfaces. In this paper, GEMMA is further developed to predict stratified and slug flow regimes in horizontal ducts. The suppression of the turbulence and the wall-like behaviour of large interfaces is modelled with an additional dissipation source. This enables an accurate prediction of the velocity and of the turbulence kinetic energy in a stratified channel flow and the capturing of the formation and the travel of liquid slugs in an annulus. Large interfaces are identified and tracked, not only in the smooth and wavy stratified regimes but also in the much more perturbed interfaces of liquid slugs. The present work confirms GEMMA to be a reliable approach to provide all flow regime modelling capabilities. Further development will be focused on large interface momentum-transfer modelling, responsible for the overestimation of the interfacial shear and the limited liquid excursion during slugs, and the extension to interface break-up and the entrainment of bubbles and droplets, to handle the entire range of regimes encountered in horizontal flows.
Keywords
Computational Fluid Dynamics, flow regimes, multifluid model, multiphase flows, slug flows, stratified flows
Suggested Citation
Colombo M, De Santis A, Hanson BC, Fairweather M. Prediction of Horizontal Gas−Liquid Segregated Flow Regimes with an All Flow Regime Multifluid Model. (2023). LAPSE:2023.2394
Author Affiliations
Colombo M: Department of Mechanical Engineering, The University of Sheffield, Sheffield S10 2TN, UK [ORCID]
De Santis A: School of Chemical and Process Engineering, University of Leeds, Leeds LS2 9JT, UK
Hanson BC: School of Chemical and Process Engineering, University of Leeds, Leeds LS2 9JT, UK
Fairweather M: School of Chemical and Process Engineering, University of Leeds, Leeds LS2 9JT, UK
Journal Name
Processes
Volume
10
Issue
5
First Page
920
Year
2022
Publication Date
2022-05-06
ISSN
2227-9717
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Original Submission
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PII: pr10050920, Publication Type: Journal Article
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LAPSE:2023.2394
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https://doi.org/10.3390/pr10050920
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