Settling Suspensions Flow Modelling: A Review

Silva, R.; Garcı́a, Fernando; Faia, Pedro; Rasteiro, Maria G.

doi:10.14356/kona.2015009

Cited by 40 publications

(16 citation statements)

References 102 publications

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“…They considered three different particle sizes of 0.2, 0.7 and 1.4 mm for 0.5 to 5 m/sec velocity range and found that the irregularities goes up with particle's size due to gravitational effect. Silva et al [16] studied the settling behaviour of slurry flow and investigated the effects of flow velocity on it. Gopaliya and Kaushal [17] analysed the effects of grain sizes on the slurry flow characteristics in horizontal pipelines implementing RNG k-ɛ turbulence model.…”

Section: Introductionmentioning

confidence: 99%

Flow Characterization of Multi-Phase Particulate Slurry in Thermal Power Plants Using Computational Fluid Dynamics

Parkash¹

2020

Journal of Thermal Engineering

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The key issue associated with the thermal power plant is the disposal of ash-water slurry and the process of its transportation is accomplished using long length pipelines. The designing of such pipelines is a vital endeavor of researchers and designers globally. In this perspective, numerical simulation of 42 mm diameter three-dimensional slurry flow pipeline carrying high concentration of mono-dispersed fine ash particles has been carried out. The study is enunciated by employing Eulerian-Eulerian two-phase model with RNG k-ɛ turbulence model with the aim of visualizing and understanding the characteristics of the slurry flow behavior. The coal ash slurry concentration varies between 50% to 70% (by weight) for velocity ranges, 1-3 ms -1 . The modeling is done using Fluent commercial software with the intention of predicting the characteristics of flow for 300 µm particle size. It is observed that pressure drop upsurges non-linearly with solid concentrations and slurry velocity across pipeline. The obtained results of predetermined pressure drop are analytically compared with the experimental results. Moreover, the results are also compared with that of Eulerian-Langrange model using SST K-ω turbulence model and it is found that RNG k-ɛ turbulence model yields more accurate and desirable results.

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Section: Introductionmentioning

confidence: 99%

Flow Characterization of Multi-Phase Particulate Slurry in Thermal Power Plants Using Computational Fluid Dynamics

Parkash¹

2020

Journal of Thermal Engineering

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“…Silva et al [16] studied velocity effect and the settling characteristics of slurry flow. Gopaliya and Kaushal [17] studied the effect of particulate size on pressure drop and found that the pressure drop increases with increase in particulate size at all efflux concentration. Pani et al [18] studied the additives effect on the rheological behaviour of coal ash slurry.…”

Section: Introductionmentioning

confidence: 99%

Analytical and Comparative Investigation of Particulate Size Effect on Slurry Flow Characteristics Using Computational Fluid Dynamics

Parkash¹,

Kumar

Sikarwar³

2021

Journal of Thermal Engineering

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The key issue associated with the industries is the transportation and dumping of solids particulates in the form of slurry at the desired place using long length pipelines. In this perspective, numerical simulation of three-dimensional horizontal slurry pipeline of 0.0549 m diameter using Eulerian two-phase model with RNG kɛ turbulence closure is carried out. The glass -beads solid particulates having density (  = 2470 kg/m 3 ) and slurry concentration varies as 10% to 50% (by volume) for velocity ranges of 3-5 ms -1 . The computational modeling is done using available commercial software ANSYS Fluent for 125µm and 440 µm particulate size at different velocity and concentration range to know their effect on slurry flow characteristics. It is observed that for chosen particulate size pressure drop increases with increase in velocity at all solid concentration range. The pressure drop in slurry for 440 µm solid particulates is found higher as compared to the pressure drop of 125 µm solid particulates slurry. The percentage change in pressure drop is also reported in the paper due to particulate size effect at all velocity and solid concentration. The obtained results of predicted pressure drop are analytically compared with the available experimental results of literature and are in synchronism with that. A parametric study is carried out with the aim of visualizing and understanding the solid particulate size effect on slurry flow characteristics. Finally, the results of settling solid concentration contour, velocity contour, concentration profiles, velocity profiles and vector representation of concentration/velocity were also predicted for chosen particulates sized slurry.

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“…When modeling fluid-particle flow in sealing problems, the model needs to be able to address not only fluid motion itself, but also the particle-fluid and the particleparticle interactions in an efficient fashion [11]. In this respect, the combination of computational fluid dynamics (CFD) and discrete element method (DEM) is recognized as one of the most powerful combinations for the numerical study of fluid-particle interactions, especially when a four-way coupling is paramount to obtaining simulation results that are realistic and accurate.…”

Section: Introductionmentioning

confidence: 99%

Numerical Evaluation of CFD‐DEM Coupling Applied to Lost Circulation Control: Effects of Particle and Flow Inertia

Barbosa

Lai

Junqueira

2019

Mathematical Problems in Engineering

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In the present study, the transport and deposition of solid particles to mitigate the loss circulation of fluid through a fracture transversely placed to a vertical channel is numerically investigated. These solid particles (commonly known in the industry as lost circulation materials—LCMs) are injected into the flow during the drilling operation in the petroleum industry, in hopes to control the fluid loss. The numerical simulation of the process follows a two-stage process: the first characterizes the lost circulation flow and the second the particle injection. The numerical model comprises an Eulerian–Lagrangian approach, in which the dense discrete phase model (DDPM) is combined with the discrete element method (DEM). A parametric analysis is done by varying the vertical channel Reynolds number, the particle-to-fluid density ratio, and the particle diameter. Results are shown in terms of the particle’s bed geometric characteristics, focusing on the location inside the fracture where the particles deposit, and the particle bed length, height, and time spent to fill the fracture. Also monitored are the fluid loss reduction over time and the fractured channel bottom pressure (which can be related to the fracture pressure). Results indicate that using a slow/intermediate flow velocity, associated with heavy particles with small diameters, provides the best combination for the efficient mitigation of the fluid loss process.

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Settling Suspensions Flow Modelling: A Review

Cited by 40 publications

References 102 publications

Flow Characterization of Multi-Phase Particulate Slurry in Thermal Power Plants Using Computational Fluid Dynamics

Flow Characterization of Multi-Phase Particulate Slurry in Thermal Power Plants Using Computational Fluid Dynamics

Analytical and Comparative Investigation of Particulate Size Effect on Slurry Flow Characteristics Using Computational Fluid Dynamics

Numerical Evaluation of CFD‐DEM Coupling Applied to Lost Circulation Control: Effects of Particle and Flow Inertia

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