Development of resolved CFD–DEM coupling model for three-phase flows with non-spherical particles
[Display omitted] •A resolved CFD–DEM coupling model for gas–liquid-solid three-phase flows with non-spherical particles is developed.•Particle shape is implicitly captured by a superquadric function.•Hydrodynamic and capillary interaction forces are directly obtained from simulation.•Particle shape...
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Published in | Chemical engineering science Vol. 267; p. 118335 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
05.03.2023
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Subjects | |
Online Access | Get full text |
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Summary: | [Display omitted]
•A resolved CFD–DEM coupling model for gas–liquid-solid three-phase flows with non-spherical particles is developed.•Particle shape is implicitly captured by a superquadric function.•Hydrodynamic and capillary interaction forces are directly obtained from simulation.•Particle shape can have a large impact on the fluid-particle interactions and resultant particle movement.
In this work, a resolved CFD–DEM coupling model for gas–liquid-solid three-phase flows with non-spherical particles is developed where the shape of the particle is implicitly captured by a superquadric function. Both gas–liquid and fluid–solid interfaces are smoothly represented with a specified thickness so that the interface thicknesses and CFD cell size are independent of each other. Several sensitivity studies are carried out and criteria for mesh- and thickness-independent results are proposed. It is confirmed that the proposed model can properly predict the hydrodynamic and capillary forces acting on particles with a wide range of shapes and contact angles. Finally, the model proposed is applied to perform several virtual experiments of typical chemical engineering processes: a liquid–solid fluidised bed and bubbly flow with various particle shapes. It is found that particle shape can have a significant impact on the fluid-particle interactions and resultant particle movement, leading to segregation and preferential alignment. |
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ISSN: | 0009-2509 1873-4405 |
DOI: | 10.1016/j.ces.2022.118335 |