Modeling Orthokinetic Coagulation in Spatially Varying Laminar Flow

Kramer, Timothy A.; Clark, Mark M.

doi:10.1006/jcis.2000.6829

Cited by 14 publications

(8 citation statements)

References 22 publications

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“…2, where it is seen that the stirred tank exhibits a larger tail towards large G values. A similar effect has been observed in the simulation of eccentric Taylor-Couette vessel operating under laminar conditions, due to an increasing variance of shear rate distribution [19]. Similar results, in terms of variation of coagulation performance, have been observed experimentally in mixed vessels for turbulent conditions with various types of impeller [20,21,22].…”

Section: Stirred Tanksupporting

confidence: 71%

Effect of Fluid Dynamics on Particle Size Distribution in Particulate Processes

Marchisio

Šoóš²,

Šefčı́k³

et al. 2006

Chem Eng & Technol

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The final product quality of crystallization and precipitation processes is often determined by the interplay between mixing and relevant phenomena such as, nucleation, molecular growth, aggregation and breakage. In this work the attention is focused on the aggregation and breakage processes and on the level of details needed to accurately describe them. Different modeling approaches are tested and compared for two different shear devices: a Taylor-Couette cell and a stirred tank. Results show that when aggregation and breakage processes are much slower than mixing a simplified homogeneous model can be used whereas when aggregation and breakage occur on a time-scale comparable with that of mixing then a detailed approach based on computational fluid dynamics (CFD) is needed. The very common lumped model, used to derive kinetic expressions for aggregation and breakage rates, can eventually lead to serious errors.

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Section: Stirred Tanksupporting

confidence: 71%

Effect of Fluid Dynamics on Particle Size Distribution in Particulate Processes

Marchisio

Šoóš²,

Šefčı́k³

et al. 2006

Chem Eng & Technol

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“…Up to now most of the presented comparisons between simulations and experiments were done with strong assumptions about the shear-rate distribution. Only a few previous studies addressed issues of flow heterogeneity by using detailed modeling approaches in either laminar [19] or turbulent conditions [17,[20][21][22][23]. They clearly showed significant differences compared to simplified models assuming a homogeneous distribution of the shear rate.…”

Section: Introductionmentioning

confidence: 97%

Population balance modeling of aggregation and breakage in turbulent Taylor–Couette flow

Šoóš

Wang

Fox

et al. 2007

Journal of Colloid and Interface Science

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“…The main operating parameter that affects the aggregate properties in sheared dispersions is the shear rate (or the turbulent energy dissipation rate in turbulent flows), which controls the rate of collision and therefore the rate of cluster aggregation as well as the rate of breakage. A few previous studies addressed issues of flow heterogeneity by using detailed modeling approaches in either laminar15 or turbulent conditions16–19 and showed significant differences compared to simplified models assuming homogeneous distribution of the shear rate. This is in agreement with the experimental results20–22 obtained using various types of impellers and vessel volumes operated at the same volume‐averaged shear rate.…”

Section: Introductionmentioning

confidence: 99%

Role of turbulent shear rate distribution in aggregation and breakage processes

Marchisio

Šoóš²,

Šefčı́k³

et al. 2005

AIChE Journal

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The effect of spatial flow heterogeneity on shear-induced aggregation and breakage of fine particles in turbulent flow conditions is investigated using computational fluid dynamics (CFD) and population balance modeling. The quadrature method of moments (QMOM), particularly suitable for implementation in commercial CFD codes, has been used to solve the corresponding population balance equation. QMOM is first tested and compared with alternative numerical methods (sectional/fixed-pivot methods) for a specific set of realistic operating conditions. Then QMOM is implemented in a CFD code and the effect of spatial heterogeneities on the cluster mass distribution in a Taylor-Couette vessel is investigated. Simplified models have been derived based on the separation of the timescales of mixing on one hand and of aggregation and breakage on the other and compared with the full CFD model. Guidelines for use and limitations of such models and the identification of the underlying aggregation and breakage kernels are discussed

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Modeling Orthokinetic Coagulation in Spatially Varying Laminar Flow

Cited by 14 publications

References 22 publications

Effect of Fluid Dynamics on Particle Size Distribution in Particulate Processes

Effect of Fluid Dynamics on Particle Size Distribution in Particulate Processes

Population balance modeling of aggregation and breakage in turbulent Taylor–Couette flow

Role of turbulent shear rate distribution in aggregation and breakage processes

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