- Title
- Numerical prediction of particle slip velocity in turbulence by CFD-DEM simulation
- Creator
- Sun, Zhixin; Yan, Xiaokang; Wang, Lijun; Li, Xiaoheng; Wang, Ai; Zhang, Haijun
- Relation
- Particuology Vol. 80, p. 170-179
- Publisher Link
- http://dx.doi.org/10.1016/j.partic.2022.11.021
- Publisher
- Elsevier BV
- Resource Type
- journal article
- Date
- 2023
- Description
- Turbulent environment improves the flotation recovery of fine particles by promoting the particle–bubble collision rate, which directly depends on the particle slip velocity. However, the existing slip velocity models are not applicable to fine particles in turbulence. The mechanism of turbulence characteristics and particle properties on the slip velocity of fine particles in turbulence was unclear. In this study, a coupled ANSYS FLUENT and EDEM based on computational fluid dynamics (CFD) and discrete element method (DEM) were used to simulate the slip velocity of fine particles in the approximately homogenous isotropic turbulence, which was excited by the grid. The reliability of the used CFD-DEM simulation method was validated against the slip velocity measured by the particle image velocimetry (PIV) experiments. In particular, the effects of the particle shapes, particle densities, and turbulence intensities on the slip velocity have been investigated with this numerical method. Numerical results show that particle shapes have no significant effect on fine particles between 37 and 225 μm. The slip velocity of the spherical particles increases with the turbulence intensity and particle density. Based on the simulated data, a model which has a correlation coefficient of 0.95 is built by using nonlinear fitting.
- Subject
- slip velocity; fine particles; turbulence; CFD-DEM
- Identifier
- http://hdl.handle.net/1959.13/1491890
- Identifier
- uon:53220
- Identifier
- ISSN:1674-2001
- Language
- eng
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