CFD simulation of liquid-phase mixing in solid–liquid stirred reactor

Kasat, Gopal R.; Khopkar, Avinash R.; Ranade, Vivek V.; Pandit, Aniruddha B.

doi:10.1016/j.ces.2008.04.018

Cited by 199 publications

(101 citation statements)

References 16 publications

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“…This term consists of four different interphase forces: lift force, Basset force, virtual mass force, and drag force. 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%,.…”

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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“…The CFD-predicted mixing times have been in good agreement with the experimental data reported by some researchers [9,10], while in some other studies [11,12] they are up to two times longer than the measure ones. In the recent 3-5 years, studies on the macro-mixing in stirred tanks for either solid-liquid [13] or gas-liquid [14,15] two-phase flows using experimental or CFD methods have been performed, and the results obtained from the two methods are mostly in good agreement. This means that the macro-mixing process in the single-or two-phase stirred vessels could be well predicted by the CFD method.…”

Section: Introductionmentioning

confidence: 85%

Experimental and Numerical Studies of the Flow Field in a Stirred Tank Equipped with Multiple Side‐Entering Agitators

2011

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The flow field and the macro-mixing process in a stirred tank equipped with four side-entering agitators were investigated experimentally and numerically. Experiments were conducted using two-dimensional particle image velocimetry (PIV) measurements to characterize the flow field at different positions in the vessel. The computational fluid dynamics (CFD) simulation was performed by the software Fluent 6.3, using the standard k-e turbulent model and the multiple reference frame together with the sliding mesh technique. The macro-mixing process was also discussed using CFD and decolorization experiments. The effects of the tracer detection positions and some mounting parameters in the mixing system were discussed. The results show that the mixing process was dominated by the flow field pattern in the stirred tank. According to the mixing times under different conditions using CFD simulation, the mounting parameters including inclination angle, plunging length and mounting height of the shaft were optimized.

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“…The interphase interaction mainly consists of four different momentum exchange mecha-nisms: Basset force, lift force, added mass force, and drag force, as discussed by Ranade [20]. In most cases, the Basset force is much smaller than the other interphase drag forces [21], and the published simulations of two-phase flows in stirred tanks have seldom considered its effect [15,22,23]. The effects of other forces in immiscible liquid-liquid systems were examined by Wang and Mao [15], and they found that the influence of the added mass and lift forces on the model predictions were of less significance, suggesting that the drag force was the dominant one.…”

Section: Mathematical Modelmentioning

confidence: 97%

CFD Prediction of the Critical Agitation Speed for Complete Dispersion in Liquid‐Liquid Stirred Reactors

Cheng

Yong

et al. 2011

Chem Eng & Technol

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A computational fluid dynamics (CFD) model is adopted to simulate the turbulent immiscible liquid-liquid flow in a stirred vessel based on a two-fluid model with a k-e-A P turbulence model. An improved inner-outer iterative procedure is adopted to deal with the impeller rotation in a fully baffled stirred tank. Different drag formulations are examined, and the effect of the droplet size on both the dispersed phase holdup distribution and the velocity field is analyzed. Two different numerical criteria are tested for determining the critical impeller speed for complete dispersion. The simulated critical impeller speeds are generally in good agreement with the correlations in the literature when the fixed droplet size is properly selected. This demonstrates that the modeling approach and the numerical criteria proposed in this work are promising for predicting the dispersion characteristics in liquid-liquid stirred tanks.

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CFD simulation of liquid-phase mixing in solid–liquid stirred reactor

Cited by 199 publications

References 16 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

Experimental and Numerical Studies of the Flow Field in a Stirred Tank Equipped with Multiple Side‐Entering Agitators

CFD Prediction of the Critical Agitation Speed for Complete Dispersion in Liquid‐Liquid Stirred Reactors

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