Simulation of the multiphase flow in bubble columns with stability-constrained multi-fluid CFD models

Xiao, Qi; Wang, Jue; Yang, Ning

doi:10.1016/j.cej.2017.06.008

Cited by 30 publications

(13 citation statements)

References 21 publications

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“…For decades, scale-up of bubble columns was based on the use of macroscopic correlations to describe hydrodynamics and transport (Deckwer, 1992;Xiao et al, 2017). Nowadays, Computational Fluid Dynamics (CFD) appears as a promising tool to predict global and local properties of interest in bubbly flows (Jakobsen et al, 2005), overcoming the constraints of the traditional scale-up approach, such as the systematic use of expensive experimental setups of increasing sizes.…”

Section: Introductionmentioning

confidence: 99%

Hydrodynamics and bubble size in bubble columns: Effects of contaminants and spargers

Gemello

Plais

Augier

et al. 2018

Chemical Engineering Science

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The simulation of bubble columns operating under the heterogeneous regime is an ambitious challenge, due to the difficulty of predicting accurately hydrodynamics and bubble size distributions, that requires experimental data for model validation. Gas fraction distributions, liquid and gas velocity profiles and bubble size distributions across bubble columns are deeply interconnected in these systems and only a comprehensive study allows the links between them to be understood. This work reports experimental data obtained by measuring bubble sizes with an innovative technique based on the cross correlation between two optical probes. Particular attention is given

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Section: Introductionmentioning

confidence: 99%

Hydrodynamics and bubble size in bubble columns: Effects of contaminants and spargers

Gemello

Plais

Augier

et al. 2018

Chemical Engineering Science

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“…The bubble column outlet is featured with degassing boundary condition. Non-slip and free slip boundary conditions are implemented (6) Step size decrease 0.9 0.9 0.9…”

Section: Boundary Conditions and Numerical Methodsmentioning

confidence: 99%

“…For years, the only way of scaling up bubble columns was through macroscopic equations to elaborate on hydrodynamics of system 5 , 6 . Currently, however, computational fluid dynamics (CFD) technique is employed as a reliable procedure to find local/global properties through bubbly flows 7 and eliminate the limits of the conventional scale-up method through costly experimental measurements.…”

Section: Introductionmentioning

confidence: 99%

Prediction of gas velocity in two-phase flow using developed fuzzy logic system with differential evolution algorithm

Babanezhad

Zabihi

Behroyan

et al. 2021

Sci Rep

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In this investigation, differential evolution (DE) algorithm with the fuzzy inference system (FIS) are combined and the DE algorithm is employed in FIS training process. Considered data in this study were extracted from simulation of a 2D two-phase reactor in which gas was sparged from bottom of reactor, and the injected gas velocities were between 0.05 to 0.11 m/s. After doing a couple of training by making some changes in DE parameters and FIS parameters, the greatest percentage of FIS capacity was achieved. By applying the optimized model, the gas phase velocity in x direction inside the reactor was predicted when the injected gas velocity was 0.08 m/s.

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“…To predict such polydisperse multiphase flows, CFD‐PBM coupling was extended to include other multiphase E–E methods, in which bubbles within a range of sizes are handled as separate phases (the inhomogeneous multiple‐size group [MUSIG] model) . Another solution is to systematically couple the CFD with a more general PBM, based on the so‐called generalized population balance equation (GPBE), in which Navier–Stokes equations are employed for the continuous phase, while the GPBE is employed for the disperse phase.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Eulerian QBMM and classical Eulerian–Eulerian method for the simulation of polydisperse bubbly flows

Marchisio

Hasse

et al. 2019

AIChE Journal

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The spatial gas distribution of poly-disperse bubbly flows depends greatly on the bubble size. To reflect the resulting polycelerity, more than two momentum balance equations (typically for the gas and liquid phases) have to be considered, as done in the multifluid approach. The inhomogeneous multiple-size group model follows this approach, also combined with a population balance model. As an alternative, in a previous work, an Eulerian quadrature-based moments method (E-QBMM) was implemented in OpenFOAM; however, only the drag force was included. In this work, different nondrag forces (lift, wall lubrication, and turbulent dispersion) are added to enable more complex test cases to be simulated. Simulation results obtained using E-QBMM are compared with the classical E-E method and validated against experimental data for different test cases. The results show that there is good agreement between E-QBMM and E-E methods for mono-disperse cases, but E-QBMM can better simulate the separation and segregation of small and large bubbles.

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Simulation of the multiphase flow in bubble columns with stability-constrained multi-fluid CFD models

Cited by 30 publications

References 21 publications

Hydrodynamics and bubble size in bubble columns: Effects of contaminants and spargers

Hydrodynamics and bubble size in bubble columns: Effects of contaminants and spargers

Prediction of gas velocity in two-phase flow using developed fuzzy logic system with differential evolution algorithm

Comparison of Eulerian QBMM and classical Eulerian–Eulerian method for the simulation of polydisperse bubbly flows

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