CFD simulation of solid–liquid stirred tanks

Wadnerkar, Divyamaan; Utikar, Ranjeet P.; Tade, Moses O.; Pareek, Vishnu

doi:10.1016/j.apt.2012.03.007

Cited by 106 publications

(42 citation statements)

References 30 publications

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“…Due to the very small influence of lift, Basset, and virtual mass forces on the simulated solid hold-dup profile [12], only the drag force may be considered in the interphase momentum exchange term (Schiller-Naumann). Results obtained using these two models are available in the literature and show that the Eulerian Multiphase model [13][14][15] is more accurate than the Eulerian Mixture model [16,17] when working with particle size higher than 100 m and solid fraction ranging between 0.2 and 16%,. Nevertheless, the Eulerian Mixture model is less time consuming and well adapted for low particle size (<10 m) and concentration (<0.1%) and should be suitable in our case.…”

Section: Introductionmentioning

confidence: 99%

Experimental Characterisation and Modelling of Homogeneous Solid Suspension in an Industrial Stirred Tank

Calvo

Delafosse

Collignon

et al. 2013

Advances in Mechanical Engineering

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In this work, we study the conditions needed to reach homogeneous distribution of aluminium salts particles in water inside a torispherical bottom shaped stirred tank of 70 L equipped with a Pfaudler RCI type impeller and three equispaced vertical baffles. The aim of the present study is to develop a CFD model describing the quality of particle distribution in industrial scale tanks. This model, validated with experimental data, is used afterwards to develop scale-up and scale-down correlations to predict the minimum impeller speed needed to reach homogeneous solid distribution Nhs. The commercial CFD software Fluent 14 is used to model the fluid flow and the solid particle distribution in the tank. Sliding Mesh approach is used to take the impeller motion into account. Assuming that the discrete solid phase has no influence on the continuous liquid phase behaviour, the fluid flow dynamics is simulated independently using the well-known -turbulence model. The liquid-solid mixture behaviour is then described by implementing the Eulerian Mixture model. Computed liquid velocity fields are validated by comparison with PIV measurements. Computed Nhs were found to be in good agreement with experimental measurements. Results from different scales allowed correlating Nhs values to the volumetric power consumption.

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Section: Introductionmentioning

confidence: 99%

Experimental Characterisation and Modelling of Homogeneous Solid Suspension in an Industrial Stirred Tank

Calvo

Delafosse

Collignon

et al. 2013

Advances in Mechanical Engineering

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“…Wadnerkar et al (2012) compared the effect of four drag models and found that the results from the modified Brucato drag model (Khopkar et al, 2006) were in reasonable agreement with the experimental data. Sardeshpande et al (2011) found that the coefficient in the Brucato drag model was dependent on the particle diameter, solids loading, particle Reynolds number, and prevailing turbulence.…”

Section: Reynolds Averaged Navier-stokes Simulationmentioning

confidence: 65%

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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“…[13][14][15][16][17][18] Under the umbrella of multiphase flow regimes, the study of solid-liquid systems in mechanical mixing vessels has focused on turbulent operations. [19][20][21][22] Most of the studies have used Newtonian fluids (viscosity is independent of shear rate). The investigations have centered on calculating the minimum velocity that makes it possible to suspend solids in the mixing vessel.…”

Section: Introductionmentioning

confidence: 99%

Enhancing biomass hydrolysis for biofuel production through hydrodynamic modeling and reactor design

Gaona

Lawryshyn

Saville

2019

Energy Science & Engineering

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A computational fluid dynamics model was developed to represent high‐solids enzymatic hydrolysis. This model accounted for the transient and multiphase (solids‐slurry) nature of the high‐solids enzymatic hydrolysis process. The model investigated the effect of slurry viscosity, rotational speed, and two impeller configurations on the distribution of insoluble solids. Initial CFD results identified segregation of the velocity contours for the non‐Newtonian slurry, which could potentially affect the reactor performance. The multiphase, transient CFD simulations showed that the first impeller configuration delayed the distribution of solids, and compartmentalized mixing in the reactor. The second impeller configuration, meanwhile, improved solids mixing and hydrolysis, while using lower rotational speeds (and thus, energy). The second impeller configuration also expanded the size of the pseudo‐cavern between impellers, which is critical for better dispersion of the solids. The CFD trends of the second impeller configuration were experimentally verified by conducting fed‐batch, high‐solids enzymatic hydrolysis trials with pretreated lignocellulose. The experimental results showed that the second impeller configuration provided better mixing of the non‐Newtonian slurry and enhanced solids‐enzyme interactions, leading to improved glucan‐to‐glucose conversion. This work illustrates that a transient multiphase CFD model can provide valuable insights into the design and optimization of high‐solids enzymatic hydrolysis reactors. The CFD model has identified pathways to improve the distribution of solids while reducing the energy needed for mixing. The CFD model can also guide experimental and design work to scale up these reactors from the laboratory to pilot and commercial scale.

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CFD simulation of solid–liquid stirred tanks

Cited by 106 publications

References 30 publications

Experimental Characterisation and Modelling of Homogeneous Solid Suspension in an Industrial Stirred Tank

Experimental Characterisation and Modelling of Homogeneous Solid Suspension in an Industrial Stirred Tank

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

Enhancing biomass hydrolysis for biofuel production through hydrodynamic modeling and reactor design

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CFD simulation of solid–liquid stirred tanks

Cited by 106 publications

References 30 publications

Experimental Characterisation and Modelling of Homogeneous Solid Suspension in an Industrial Stirred Tank

Experimental Characterisation and Modelling of Homogeneous Solid Suspension in an Industrial Stirred Tank

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

Enhancing biomass hydrolysis for biofuel production through hydrodynamic modeling and reactor design

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Product

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