Numerical investigation on hydrodynamics of gas-binary particles flows using a second-order-moment turbulent model |
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| Institution: | 1. Human Brain Laboratory, Research Imaging Centre, Centre for Addiction and Mental Health, Toronto, Ontario, Canada;2. Addiction Imaging Research Group, Campbell Family Mental Health Research Institute, Research Imaging Centre, Centre for Addiction and Mental Health, Toronto, Ontario, Canada;3. Division of Neuropathology, London Health Science Centre, University of Western Ontario, London, Ontario, Canada;4. Department of Neurology, Juntendo Tokyo Koto Geriatric Medical Center, and Faculty of Medicine, University & Post Graduate University of Juntendo, Tokyo, Japan;5. The Drug Detection Agency, Auckland, New Zealand;6. Centre for Movement Disorders, Toronto, Ontario, Canada;7. Center for Brain Research, Medical University of Vienna, Spitalgasse 4, A-1090 Vienna, Austria;1. Cardiology Department, Cordoba Hospital, Cordoba, Argentina;2. DAMIC Medical Institute for Research, Teaching, Patient Care, Cordoba, Argentina;3. Italian Hospital Garibaldi, Rosario, Argentina |
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| Abstract: | A binary-particles Reynolds stress equation is developed on the basis of single second-order-moment turbulence model. In this model, particle–particle two-phase fluctuation velocity correlation transportation is proposed to fully reflect their anisotropic characters, as well as each of particle interaction with gas phase is taken into account. Swirling gas-particle flow experiments data is used to validate this model simulation in term of the reduced codes of the mono-disperse particle gas-particle flows. Numerical simulations are performed for the gas-binary particles mixtures turbulent flows and results shows that the axial Reynolds stress in near wall regions is approximately 3.0 times greater than the tangential direction and the tangential Reynolds stress in central axial region is approximately 5.0 times greater than the axial direction. The Reynolds stress in the axial direction and tangential direction are redistributed due to binary particle–particle collision. The ratio kinetic to particles collision contributions in binary mixture system are varied with the different particle density and the diameter size compositions. |
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