Simulation of multiphase flow in hydrocyclone
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Rudolf, Pavel
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Mark
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EDP Sciences
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Multiphase gas-liquid-solid swirling flow within hydrocyclone is simulated. Geometry and boundary conditions are based on Hsiehs 75 mm hydrocyclone. Extensive simulations point that standard mixture model with careful selection of interphase drag law is suitable for correct prediction of particle classification in case of dilute suspensions. However this approach fails for higher mass loading. It is also confirmed that Reynolds stress model is the best choice for multiphase modeling of the swirling flow on relatively coarse grids.
Multiphase gas-liquid-solid swirling flow within hydrocyclone is simulated. Geometry and boundary conditions are based on Hsiehs 75 mm hydrocyclone. Extensive simulations point that standard mixture model with careful selection of interphase drag law is suitable for correct prediction of particle classification in case of dilute suspensions. However this approach fails for higher mass loading. It is also confirmed that Reynolds stress model is the best choice for multiphase modeling of the swirling flow on relatively coarse grids.
Multiphase gas-liquid-solid swirling flow within hydrocyclone is simulated. Geometry and boundary conditions are based on Hsiehs 75 mm hydrocyclone. Extensive simulations point that standard mixture model with careful selection of interphase drag law is suitable for correct prediction of particle classification in case of dilute suspensions. However this approach fails for higher mass loading. It is also confirmed that Reynolds stress model is the best choice for multiphase modeling of the swirling flow on relatively coarse grids.
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EPJ Web of Conferences. 2013, vol. 45, issue 1, p. 1-8.
https://www.epj-conferences.org/articles/epjconf/abs/2013/06/epjconf_efm2013_01101/epjconf_efm2013_01101.html
https://www.epj-conferences.org/articles/epjconf/abs/2013/06/epjconf_efm2013_01101/epjconf_efm2013_01101.html
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en
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Except where otherwised noted, this item's license is described as Creative Commons Attribution 2.0 Generic

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