Eulerian Simulation of Dense Solid-Liquid Suspension in Multi-Stage Stirred Vessel.

Barrue, Hélène; Bertrand, J.; Cristol, Benoît; Xuereb, Catherine

doi:10.1252/jcej.34.585

Cited by 29 publications

(25 citation statements)

References 12 publications

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“…Various solid-liquid suspension systems with solids fractions ranging from dilute to dense have been simulated by using the E-E approach, and the solid particle distributions have been validated and verified by many researchers (Altway et al, 2001;Barrue et al, 2001;Montante et al, 2001;Špidla et al, 2005;Fletcher and Brown, 2009;Liu and Barigou, 2013;Tamburini et al, 2013). The effects of other parameters including the particle size (Sha et al, 2001;Ochieng and Lewis, 2006b), mixed particles with different densities (Montante and Magelli, 2007), the Schmidt number, the laminar viscosity coefficient (Montante et al, 2002;Shan et al, 2008), and scale-up criteria (Montante et al, 2008) on the solids concentration distribution have also been discussed.…”

Section: Solids Concentrationmentioning

confidence: 90%

Models and Applications for Simulating Turbulent Solid–Liquid Suspensions in Stirred Tanks

Derksen

Gao

2015

J. Chem. Eng. Japan / JCEJ

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Solid-liquid suspensions in stirred tanks are common unit operations in many process industries. The complex ow characteristics of these systems, such as two-phase turbulence and interphase interaction, make the corresponding numerical simulations complicated and challenging. This paper presents a review of models dealing with the continuous and discrete phases of solid-liquid suspensions and summarizes the applications for simulating related ow phenomena, including velocity and turbulence components, solids concentration, just-suspended speed, cloud height, optimization of geometrical parameters, and particle shape and type. Perspectives concerning di erent modeling approaches are presented, and the Eulerian-Lagrangian approach with resolved particles is highlighted to address the underlying suspension mechanisms in stirred tanks.

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Section: Solids Concentrationmentioning

confidence: 90%

Models and Applications for Simulating Turbulent Solid–Liquid Suspensions in Stirred Tanks

Derksen

Gao

2015

J. Chem. Eng. Japan / JCEJ

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“…The standard k-ε model combines reasonable accuracy, time economy, and robustness for a wide range of turbulent flows [25,26]. To improve the predictive accuracy of k-ε models, more transport equations have been derived.…”

Section: Numerical Modelingmentioning

confidence: 99%

A Study of the Mixing Performance of Different Impeller Designs in Stirred Vessels Using Computational Fluid Dynamics

Torotwa

2018

Designs

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Design and operation of mixing systems using agitated vessels is a difficult task due to the challenge of obtaining accurate information on impeller-induced turbulence. The use of Computational Fluid Dynamics (CFD) can provide detailed understanding of such systems. In this study, experimental tests and computational fluid dynamics simulations were performed to examine the flow characteristics of four impeller designs (anchor, saw-tooth, counter-flow and Rushton turbine), in achieving solution homogeneity. The impellers were used to mix potassium sulfate granules, from which values of electrical conductivity of the solution were measured and used to estimate the distribution pattern of dissolved solid concentrations within the vessel. CFD models were developed for similar mixing arrangement using commercial software, ANSYS Fluent 18.1 solver and the standard k-epsilon (ε) turbulence model. The Multiple Reference Frame (MRF) approach was used to simulate the impeller rotation. Velocity profiles generated from the simulations were in good agreement with the experimental predictions, as well as with results from previous studies. It was concluded that, through CFD analysis, detailed information can be obtained for optimal design of mixing apparatus. These findings are relevant in choosing the best mixing equipment and provides a basis for scaling up mixing operations in larger systems.

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“…Its contribution is significant only when the size of the turbulent eddies is larger than the particle size, which is the case in solid-liquid stirred reactors. The importance of modeling turbulent dispersion force while simulating solid suspension in stirred reactors is highlighted in literature such as [12] [13]. In this study the turbulent dispersion force is modeled using the following equation derived by [14].…”

Section: Turbulent Dispersion Forcementioning

confidence: 99%

Determination of Flow Structure in a Gold Leaching Tank by CFD Simulation

Dagadu¹,

Stęgowski²,

Furman³

et al. 2014

JAMP

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Experimental residence time distribution (RTD) measurement and computational fluid dynamics (CFD) simulation are the best methods to study the hydrodynamics of process flow systems. However, CFD approach leads to better understanding of the flow structure and extent of mixing in stirred tanks. In the present study, CFD models were used to simulate the flow in an industrial gold leaching tank. The objective of the investigation was to characterize the flowfield generated within the tank after process intensification. The flow was simulated using an Eulerian-Eulerian multi-fluid model where the RANS standard -ε mixture model and a multiple reference frame approach were used to model turbulence and impeller rotation respectively. The simulated flowfield was found to be in agreement with the flow pattern of pitched blade axial-flow impellers that was used for mixing. The leaching tank exhibited good "off-bottom suspension" which reveals minimum deposition of gold ore particles on the bottom of the leaching tanks. Simulation results were consistent with experimental results obtained from a radioactive tracer investigation. CFD approach gave a better description of the flow structure and extent of mixing in a leaching tank. Hence it could be a preferred approach for flow system analysis where the cost of experimentation is high.

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Eulerian Simulation of Dense Solid-Liquid Suspension in Multi-Stage Stirred Vessel.

Cited by 29 publications

References 12 publications

Models and Applications for Simulating Turbulent Solid–Liquid Suspensions in Stirred Tanks

Models and Applications for Simulating Turbulent Solid–Liquid Suspensions in Stirred Tanks

A Study of the Mixing Performance of Different Impeller Designs in Stirred Vessels Using Computational Fluid Dynamics

Determination of Flow Structure in a Gold Leaching Tank by CFD Simulation

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Eulerian Simulation of Dense Solid-Liquid Suspension in Multi-Stage Stirred Vessel.

Cited by 29 publications

References 12 publications

Models and Applications for Simulating Turbulent Solid&#x2013;Liquid Suspensions in Stirred Tanks

Models and Applications for Simulating Turbulent Solid&#x2013;Liquid Suspensions in Stirred Tanks

A Study of the Mixing Performance of Different Impeller Designs in Stirred Vessels Using Computational Fluid Dynamics

Determination of Flow Structure in a Gold Leaching Tank by CFD Simulation

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Models and Applications for Simulating Turbulent Solid–Liquid Suspensions in Stirred Tanks

Models and Applications for Simulating Turbulent Solid–Liquid Suspensions in Stirred Tanks