Modeling and experiments of polydisperse particle clouds
Autor: | Adrian C. H. Lai, E. Eric Adams, Adrian Wing-Keung Law, Ruo-Qian Wang |
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Rok vydání: | 2016 |
Předmět: |
Physics
Buoyancy 0208 environmental biotechnology 02 engineering and technology Mechanics engineering.material Tracking (particle physics) Random walk 01 natural sciences 010305 fluids & plasmas 020801 environmental engineering Vortex ring Vortex Physics::Fluid Dynamics Classical mechanics 0103 physical sciences Thermal engineering Environmental Chemistry Particle Vector field Water Science and Technology |
Zdroj: | Environmental Fluid Mechanics. 16:875-898 |
ISSN: | 1573-1510 1567-7419 |
DOI: | 10.1007/s10652-016-9462-3 |
Popis: | A model for polydisperse particle clouds has been developed in this study. We extended the monodisperse particle cloud model of Lai et al. (Environ Fluid Mech 13(5):435–463, 2013) to the case of polydisperse particles. The particle cloud is first considered to be a thermal or buoyant vortex ring, with the thermal induced velocity field modeled by an expanding spherical Hill’s vortex. The buoyancy of the composite thermal is assumed to be the sum of buoyancy contributed by the all particles inside the thermal. Individual particles (of different particle properties) in the cloud are then tracked by the particle tracking equation using the computed induced velocity field. The turbulent dispersion effect is also accounted for by using a random walk model. Experiments of polydisperse particle clouds were carried out to validate the model. The agreement between model predictions and experiments was reasonable. We further validate our model by comparing it with the LES study of Wang et al. (J Hydraul Eng ASCE 141(7):06015006, 2014). The limitations of our model are then discussed with reference to the comparison. Overall, although some flow details are not captured by our model, the simplicity and generality of the model makes it useful in engineering applications. |
Databáze: | OpenAIRE |
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