Experimental and numerical study of a compact inline swirler for gas–liquid separation

Maluta, Francesco; Paglianti, Alessandro; Montante, Giuseppina Maria Rosa

doi:10.1016/j.ces.2022.118219

Cited by 10 publications

(4 citation statements)

References 33 publications

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“…It captures the key phenomena and trends observed in experiments, allowing researchers to understand the dominant mechanisms and identify critical factors affecting particle behavior. In the present study, we have considered the Luo and Svendsen model for both breakage and agglomeration, followed by previous works. − In practical cases, sand particles can also form agglomerates when bitumen acts as a binder. However, in our CFD–PBM study presented here, we mainly focused on the bitumen residual distribution in the pipeline.…”

Section: Modeling Of Multiphase Flowsmentioning

confidence: 99%

Numerical Insights from a Population Balance Model into the Distribution of Bitumen Residues in Industrial Horizontal Pipes During the Hydrotransport of Oil Sands Tailings

Sontti,

Zhang

2023

Ind. Eng. Chem. Res.

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Pipeline transportation is a vital method for conveying crushed oil sand ores and tailings in the oil sands industry. This study focuses on enhancing economic benefits by exploring the separation of valuable bitumen residues from coarse sand tailings within hydrotransport pipelines. Employing threedimensional transient Eulerian−Eulerian computational fluid dynamics (CFD) simulations coupled with a population balance model (PBM), we examine the aggregation and breakage of bitumen droplets under various flow conditions. The accuracy of the CFD−PBM model is validated against field measurements of velocity profiles and pressure drops. Our findings reveal that higher slurry velocities lead to intensified particle−bitumen interactions, resulting in reduced aggregated bitumen droplet sizes at the pipeline's core. Additionally, variations in bitumen fraction cause shifts in the distribution of coarse particles along the pipe's vertical axis with increased aggregation and larger droplets in the upper region. Notably, we demonstrate that smaller bubbles promote a more uniform distribution of bitumen compared with larger bubbles. These insights provide valuable knowledge for optimizing bitumen recovery processes and facilitate the integration of pipeline hydrotransport dynamics with downstream separation and extraction units.

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Section: Modeling Of Multiphase Flowsmentioning

confidence: 99%

Numerical Insights from a Population Balance Model into the Distribution of Bitumen Residues in Industrial Horizontal Pipes During the Hydrotransport of Oil Sands Tailings

Sontti,

Zhang

2023

Ind. Eng. Chem. Res.

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“…There is no unified turbulence model to describe the turbulent characteristics of a gas−liquid mixture. Different turbulence models, such as the k−ε model, the renormalization group (RNG) k−ε model, the k−ω model, and the shear stress transport (SST) k−ω model have been evaluated for simulation of a swirling flow by Maluta et al, 56 Zhang et al, 57 and Putra et al 58 The results showed that the SST k−ω model shows better performance, compared to other turbulence models. This is due to its ability to accurately predict flow separation for adverse pressure gradient conditions.…”

Section: Numerical Modelmentioning

confidence: 99%

Design and Optimization of Gas–Liquid Vortex Unit Using Computational Fluid Dynamics (CFD) Simulation

Chen,

Malego,

Van Geem

et al. 2023

Ind. Eng. Chem. Res.

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Due to the exceptional multiphase mixing and mass transfer performance, gas–liquid vortex units (GLVUs) have great potential for solvent-based applications such as CO2 capture. The high gas flow rates needed to provide the energy input for creating the centrifugal field negatively influence the contact between phases and the efficiency of the GLVU. To address this issue, computational fluid dynamics (CFD) simulations are used to optimize the design of the GLVU geometry and its operating conditions. The gas–liquid flow characteristics, contact time, and total energy consumption in different GLVU geometries are analyzed. The effects of geometrical changes including reactor shape, reactor volume, and gas–liquid inlet configuration are investigated. In the optimized GLVU designs, the gas–liquid contact time is increased by more than a factor of 3, while the energy consumption is reduced by 85%, compared to the base case. Structural optimization of a GLVU is an effective route to improve the gas–liquid contact time. The use of CFD significantly accelerates the optimization of the design of a GLVU geometry for subsequent manufacturing.

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“…The particle size of dust and droplets is very small, and they are sparsely distributed in space; however, the interaction between the particles should be taken into account. Therefore, the two fluid (TF) model (primary phase is the air and the secondary phase is the particle) is used to calculate the velocity field [ 24 ].…”

Section: Numerical Simulationsmentioning

confidence: 99%

Numerical Investigation of Fine Particulate Matter Aggregation and Removal by Water Spray Using Swirling Gas Flow

Qian

Wang

Liu

et al. 2022

IJERPH

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In this paper, a mathematical model based on the two-fluid frame model coupled with the population balance model which considers the aggregation of particles and droplets in detail for cyclonic spray dedusting is proposed. The model is applied to study the characteristics of multiphase flow field and the effects of the gas velocity, spray volume, and particle concentration on the removal efficiency. In addition, the simulation results are verified by the experimental data. The results suggest that the turbulence kinetic energy increases near the wall as the inlet velocity increases, and the spray region increases as the spray volume increases. This is conducive to turbulent mixing of the particles and droplets, and the agglomeration efficiency of the particles is improved, so the particle size increases, and the particle removal efficiency increases to 99.7% by simulation results are within the allowable range of error (about 99–99.5% in dedusting efficiency by experimental data). As the particle concentration increases, the particle removal efficiency initially increases, then decreases and reaches the highest value at 2 g/m3, which is due to the limited adsorption efficiency of the spray droplets. The results are helpful for providing a theoretical basis for spray to promote agglomeration of particles and improving the dust removal efficiency in the swirl field.

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Experimental and numerical study of a compact inline swirler for gas–liquid separation

Cited by 10 publications

References 33 publications

Numerical Insights from a Population Balance Model into the Distribution of Bitumen Residues in Industrial Horizontal Pipes During the Hydrotransport of Oil Sands Tailings

Numerical Insights from a Population Balance Model into the Distribution of Bitumen Residues in Industrial Horizontal Pipes During the Hydrotransport of Oil Sands Tailings

Design and Optimization of Gas–Liquid Vortex Unit Using Computational Fluid Dynamics (CFD) Simulation

Numerical Investigation of Fine Particulate Matter Aggregation and Removal by Water Spray Using Swirling Gas Flow

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