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dc.contributor.authorVikhansky, Alexander
dc.contributor.authorEskin, Dmitry
dc.date.accessioned2018-01-28T13:46:44Z
dc.date.available2018-01-28T13:46:44Z
dc.date.issued2017
dc.identifier.isbn978-82-536-1544-8
dc.identifier.issn2387-4295
dc.identifier.urihttp://hdl.handle.net/11250/2480046
dc.description.abstractDispersion of immiscible fluids in a Couette device, in which the inner cylinder rotates whereas the outer one is immobile, is modelled. Two different modelling approaches are employed. The 1st approach is based on solving a one-dimensional Advection-Diffusion-Population Balance equation. An influence of upper and bottom Couette device covers (the so-called end effect) is ignored in this case. The Prandtl mixing length model of turbulence, employed for modelling of a Couette flow field, allows obtaining an analytical expression for calculation of the energy dissipation rate distribution across Couette device gap. Fixed Pivot method is employed for numerical solution of the population balance equation. The 2nd approach is based on the CFD-population balance AMuSiG method, recently implemented into the STAR-CCM+ code of Siemens PLM Software. The Reynolds stress turbulence model along with the Daly & Harlow transport model are employed for modelling two-dimensional axisymmetric flow field in a Couette device. In the present work, modelling is limited to only droplet breakup; i.e., only non-coalescing droplets are considered. A modified droplet breakup model of Coulaloglou and Tavlarides (1977) is employed for all the computations. Computed droplet size distributions are compared with those obtained in a laboratory Couette device of a relatively small height that is a cause of the significant end effect. Dispersion of water droplets in silicone oil is studied. Coalescence is suppressed by a surfactant. The experimental droplet size distributions are reasonably well fitted by both the models employed. The most significant advantage of the 3-D computations over the 1-D modelling is accounting for the end effect, that in its turn affects both velocity and energy dissipation rate distributions over the Couette device gap. Also, to better fit the experimental data, a weak coalescence was formally introduced into the 3-D computational code.nb_NO
dc.language.isoengnb_NO
dc.publisherSINTEF Academic Pressnb_NO
dc.relation.ispartofProceedings of the 12th International Conference on Computational Fluid Dynamics in the Oil & Gas, Metallurgical and Process Industries
dc.relation.ispartofseriesSINTEF Proceedings;2
dc.subjectBreakupnb_NO
dc.subjectDispersionnb_NO
dc.subjectDropletsnb_NO
dc.subjectModellingnb_NO
dc.subjectPopulation Balancenb_NO
dc.subjectTurbulencenb_NO
dc.titleSimulation of dispersion of immiscible fluids in a turbulent couette flownb_NO
dc.typeChapternb_NO
dc.typeConference objectnb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.subject.nsiVDP::Technology: 500nb_NO


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