Predicting turbulence modulations at different Reynolds numbers in dilute-phase turbulent liquid–particle flow simulations

Hadinoto, Kunn

doi:10.1016/j.ces.2010.07.016

Cited by 9 publications

(7 citation statements)

References 27 publications

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“…The comparison between the simulation and experiment showed that the new model was more accurate than the previous one. Hadinoto [27] adapted the two-fluid flow model to predict the turbulence modulation characteristic in a vertical pipeline at a low solid volume fraction from 0.5% to 4.0%. The numerical and experimental results showed that the drag correlation significantly affected the accuracy of the computational fluid dynamics (CFD simulation).…”

Section: Of 12mentioning

confidence: 99%

Sand Transport and Deposition Behaviour in Subsea Pipelines for Flow Assurance

2019

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Sand transport through tubing and pipeline could cause a series of problems to flow assurance, if not properly managed or controlled. The most serious problem is the accumulation and erosion in multiphase flow pipelines and the surface equipment. Therefore, the importance of understanding the transport and deposition behaviour of sands through multiphase flow pipelines cannot be overemphasized. This study presents the sand transport and deposition characteristics in the complicated multiphase flow pipeline. The numerical result shows that the slurry velocity presents a uniform distribution in the multiphase flow pipeline at the sand concentration of 5% and the sand diameter of 50 µm. However, the slurry velocity at the bottom of the pipeline is significantly smaller than that at the top when the sand concentration and diameter reach 30% and 300 µm, respectively. It indicates that the sand deposition at the bottom of the pipe declines the slurry velocity and transport capacity. The deposition thickness is approximately 10% of the pipe diameter even at the low concentration of 5% sand with a small sand diameter of 50 µm and a high slurry velocity of 1.8 m/s. The sand deposition reaches about 30% of the pipe diameter at the same low concentration and high slurry velocity when the sand diameter increases to 300 μm.

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Section: Of 12mentioning

confidence: 99%

Sand Transport and Deposition Behaviour in Subsea Pipelines for Flow Assurance

2019

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“…Finally, the source terms in the k l -equation turned out to be related with the generalized drag term, and they include double correlations between the fluctuating velocities of the two phases, e.g., u v , which need to be modeled. Most of the available options are empirical or semi-empirical formulas developed for gas-solid flows (e.g., [60,61]), even if attempts to obtain such correlations from the KTGF and apply them to gas-solid and liquid-solid flows have been reported [62][63][64].…”

Section: Modelling Of Turbulent Flowsmentioning

confidence: 99%

“…To provide some context regarding the application of Eulerian-Eulerian-KTGF modelling to slurry flows, a high-level overview of the past 25 years of publications in this field shows that a vast majority of the studies relate to horizontal pipeline flows (e.g., [36,67,[132][133][134]), with only a few on vertical pipeline flows [63,135] and bends/fittings [136,137]. Pipe diameters of 10-500 mm, flow velocities between 1-9 m/s, bulk solids volume concentrations up to 0.5, density ratios of 1.18 (slush nitrogen [138]) to 4.35 (iron ore slurry [139]), and particle sizes of 0.004-2.4 mm have been studied.…”

Section: Literature Reviewmentioning

confidence: 99%

Computational Fluid Dynamics Modelling of Liquid–Solid Slurry Flows in Pipelines: State-of-the-Art and Future Perspectives

et al. 2021

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Slurry pipe transport has directed the efforts of researchers for decades, not only for the practical impact of this problem, but also for the challenges in understanding and modelling the complex phenomena involved. The increase in computer power and the diffusion of multipurpose codes based on Computational Fluid Dynamics (CFD) have opened up the opportunity to gather information on slurry pipe flows at the local level, in contrast with the traditional approaches of simplified theoretical modelling which are mainly based on a macroscopic description of the flow. This review paper discusses the potential of CFD for simulating slurry pipe flows. A comprehensive description of the modelling methods will be presented, followed by an overview of significant publications on the topic. However, the main focus will be the assessment of the potential and the challenges of the CFD approach, underlying the essential interplay between CFD simulations and experiments, discussing the main sources of uncertainty of CFD models, and evaluating existing models based on their interpretative or predictive capacity. This work aims at providing a solid ground for students, academics, and professional engineers dealing with slurry pipe transport, but it will also provide a methodological approach that goes beyond the specific application.

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“…Searching the literature for current numerical studies trying to characterize on turbulence attenuation for solidliquid settling suspensions, some manuscripts are found where: drag correlations are modified in an attempt to reproduce experimental data where turbulence modulation occurs (Hadinoto, 2010;Hadinoto & Chew, 2010); singlephase Low Reynolds turbulence models are modified to incorporate turbulence modulation (Bartosik, 2010;Bartosik, 2011); Mixture Models with a Low Reynolds Turbulence closure for turbulence modulation in highly concentrated solid-liquid flows (Silva et al, 2013); EulerEuler model is used for pipe flow of concentrated slurries (Kaushal et al, 2012;Lahiri & Ghanta, 2010).…”

Section: Turbulence Modulationmentioning

confidence: 99%

Settling Suspensions Flow Modelling: A Review

Silva

Garcı́a

Faia

et al. 2015

KONA

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In spite of the widespread application of settling suspensions, their inherent complexity has yet to be properly predicted by a unified numerical model or empirical correlation, and usually industries still possess customized charts or data for their particular suspension. This is, clearly, rather inefficient and can lead to oversized dimensioning, low energy efficiency and even operation limitations/difficulties. In this manuscript a review of empirical correlations, charts and numerical models that have been employed to predict the behaviour of settling suspensions is briefly described, providing information on the advantages and drawbacks of each method. Their evolution throughout the years: from Durand and Condolios correlations, to empirical models by Wasp, single phase simplifications with mixture properties by Shook and Roco, and to other Euler-Euler or Euler-Lagrangian numerical models, will be presented. Some considerations on recent particle migration and turbulence modification publications will be added. In addition, information about some current CFD application of LatticeBoltzmann and Discrete Element Method (DEM) will be given. Lastly, data from CFD modelling employed by the authors that is able to predict turbulence attenuation in settling flows with medium sized particles for different concentrations is reported.

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Predicting turbulence modulations at different Reynolds numbers in dilute-phase turbulent liquid–particle flow simulations

Cited by 9 publications

References 27 publications

Sand Transport and Deposition Behaviour in Subsea Pipelines for Flow Assurance

Sand Transport and Deposition Behaviour in Subsea Pipelines for Flow Assurance

Computational Fluid Dynamics Modelling of Liquid–Solid Slurry Flows in Pipelines: State-of-the-Art and Future Perspectives

Settling Suspensions Flow Modelling: A Review

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