1999
DOI: 10.1021/ie980436b
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Effect of Turbulence on the Separation of Liquid−Liquid Dispersions in Batch Settlers of Different Geometries

Abstract: The separation of batch dispersions is affected by the initial turbulence present in the settler which reduces the initial sedimentation rate and the onset of interfacial coalescence. As the turbulence decays, these rates gradually increase, giving rise to sigmoidal sedimentation and coalescence profiles. A model is presented which describes the separation of a dispersion of height H 0 and holdup ε0 with an initial drop diameter φ0, and interfacial coalescence time τd allowing for the turbulence decay time t d… Show more

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Cited by 19 publications
(6 citation statements)
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“…Industrialmente es importante conocer los tiempos de separación de fases, determinar los arrastres, así como la distribución de tamaño de las gotas de la mezcla o un tamaño característico de la dispersión, tal como el diámetro de Sauter (d 32 ). La sedimentación y coalescencia dependen de un gran número de factores tales como: concentración de la fase dispersa, propiedades físicas, geometría del mixer-settler, turbulencia, presencia de sustancias tensoactivas e incluso presencia de partículas finas [7][8][9] .…”
Section: Dispersiones Líquido-líquidounclassified
“…Industrialmente es importante conocer los tiempos de separación de fases, determinar los arrastres, así como la distribución de tamaño de las gotas de la mezcla o un tamaño característico de la dispersión, tal como el diámetro de Sauter (d 32 ). La sedimentación y coalescencia dependen de un gran número de factores tales como: concentración de la fase dispersa, propiedades físicas, geometría del mixer-settler, turbulencia, presencia de sustancias tensoactivas e incluso presencia de partículas finas [7][8][9] .…”
Section: Dispersiones Líquido-líquidounclassified
“…Good agreement was obtained between experimental results and the model prediction. Furthermore, the effect of the initial turbulence on the separation of batch dispersion was considered and verified with experimental data [5]. Based on the fundamental results of Jeelani and Hartland [4], Henschke et al [6] presented a new model to describe the coalescence process with a single integral coalescence parameter obtained from a batch settling experiment.…”
Section: Introductionmentioning
confidence: 96%
“…This model was then extended for multiple population droplets . Modeling of creaming/sedimentation in liquid–liquid systems finds an interest also in gravity separators. , Models including creaming/sedimentation combined with binary and interfacial coalescence phenomena were also employed. , If the creaming/sedimentation process involves changes in the particle/droplet size (e.g., coagulation), the use of the population balance modeling (PBM) framework becomes attractive to describe these coupled phenomena while accounting for the polydisperse nature of the droplets’ size. For instance, Grimes employed the full distribution to describe batch gravity separation of crude oil-in-water emulsions and concluded that the degree of polydispersity is a key factor in determining the rate of coalescence and separation by sedimentation . Finally, coupling of PBMs with computational fluid dynamics (CFD) constitutes an accurate way to describe the coupled phenomena of diffusion in space and changes in the droplet size, but this approach still remains computationally intensive. , …”
Section: Introductionmentioning
confidence: 99%