Fluidized beds modeling: Validation of 2D and 3D simulations against experiments

Shi, Hang; Komrakova, Alexandra; Nikrityuk, Petr A.

doi:10.1016/j.powtec.2018.11.043

Cited by 41 publications

(23 citation statements)

References 33 publications

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“…This dimensionless velocity is used to calculate a spin‐up or start‐up time for volume‐force‐driven flows. [ 37 ] Time histories of

\frac{< U >}{U_{italicin}}

calculated using different values of viscosity at P in = 400 000 Pa for 3D LES approaches are depicted in Figure 3. The flow time, t , has been non‐dimensionalized by the length, L , of the Venturi tube and the inlet flow velocity, U in .…”

Section: Resultsmentioning

confidence: 99%

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Numerical study of mixing of cavitating flows in a Venturi tube

2020

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This work is devoted to a computational investigation of the cavitation and mixing characteristics of two miscible (Schmidt number Sc = 10 3) turbulent water flows with different viscosity ratios in a Venturi tube. The 2D axissymmetric RANS and 3D LES turbulence models are used for the prediction of flow characteristics. The numerical results reveal that the RANS solutions underpredict the rate of vapour production and overestimate the mixing rate of two miscible fluids in comparison to LES simulations for the inlet Reynolds number of 19 738 (Case-1) and 19 286 (Case-2). In particular, there is a larger cavitation zone in the Venturi tube with LES in comparison to RANS calculations.

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“…This dimensionless velocity is used to calculate a spin‐up or start‐up time for volume‐force‐driven flows. [ 37 ] Time histories of

\frac{< U >}{U_{italicin}}

Section: Resultsmentioning

confidence: 99%

“…To study the transient dynamics of the mixing flows in a Venturi tube, we use the dimensionless velocity, < U > U in , of the mixture phase in the entire Venturi. The value of the volume-averaged flow velocity, < U >, and the inlet flow velocity, U in , can be calculated from the following equation [37] :…”

Section: Resultsmentioning

confidence: 99%

Numerical study of mixing of cavitating flows in a Venturi tube

2020

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“…A number of numerical studies were performed to study the effect of the drag model on flow predictions in various types of fluidized beds [7,12,[23][24][25][26][27][28]. Taghipour et al [7] conducted an experimental and computational study on a 2D gas-solid fluidized bed and observed that the Syamlal and O'Brien (SO) drag model shows a reasonable agreement for mean pressure drop, bed expansion, and gas-solid flow pattern.…”

Section: Introductionmentioning

confidence: 99%

“…In the study conducted by Gao et al [8], homogeneous drag models that neglect the formation of mesoscale structures were unable to capture the correct fluidization behavior. Shi et al [25] obtained accurate predictions in a 2D turbulent fluidized bed by adjusting different numerical parameters. They also observed that the simulations using the 3D model were less sensitive to change in numerical parameters.…”

Section: Introductionmentioning

confidence: 99%

Effect of Drag Models on the Numerical Simulations of Bubbling and Turbulent Fluidized Beds

et al. 2021

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Granular option enabled two-fluid model coupled with different homogeneous and heterogeneous drag correlations, i.e., Gidaspow, Syamlal and O'Brien, Beetstra, Brucato, Gibilaro, energy minimization multiscale method (EMMS), and Tenneti, are employed for the prediction of bubbling and turbulent fluidized-bed characteristics. Numerically predicted results are validated against the literature data in terms of bubble shape and diameter, axial and radial variation of timeaveraged void fraction, pressure drop, and bed expansion. The Gidaspow, Syamlal and O'Brien drag model-predicted mean void fraction and bubble shapes are close to the experiments in bubbling and turbulent fluidized beds with both the 2D and 3D geometries. All drag models overpredicted the pressure drop at low superficial gas velocities in a turbulent fluidized bed.

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“…Dentro dessa abordagem E-E existem duas opções, sendo que uma é a modelagem chamada de Modelo de Dois Fluidos (Two Fluid Model ou TFM) com apenas uma fase de sólido e uma fase de gás. O outro modelo dentro da abordagem E-E é conhecido como Modelo de Multi Fluidos (Multi Fluid Modelo ou MFM) com uma fase de gás e duas ou mais fases de sólidos(OSTERMEIER et al, 2019;SELÇUK et al, 2004;SHI;KOMRAKOVA;NIKRITYUK, 2019;TAN et al, 2019;XUE et al, 2020). CFD-DEM por serem os dois modelos principais utilizados pelo programa de computador MFiX para simulações em leito fluidizado.…”

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Análise Dos Riscos Físicos: Ruído E Vibração Em Motocoveador Manual

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Engenharia De Produção: Além Dos Produtos E Sistemas Produtivos

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Fluidized beds modeling: Validation of 2D and 3D simulations against experiments

Cited by 41 publications

References 33 publications

Numerical study of mixing of cavitating flows in a Venturi tube

Numerical study of mixing of cavitating flows in a Venturi tube

Effect of Drag Models on the Numerical Simulations of Bubbling and Turbulent Fluidized Beds

Análise Dos Riscos Físicos: Ruído E Vibração Em Motocoveador Manual

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