Turbulent coarse-particle suspension flow: Measurement and modelling

Zheng, Enzu; Rudman, Murray; Kuang, Shibo; Chryss, Andrew

doi:10.1016/j.powtec.2020.06.080

Cited by 29 publications

(15 citation statements)

References 60 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The velocity of this upward movement is bigger than the upwards velocity of the fluid, hence the drag force on the particle phase is pointed downwards. This effect has also been seen in DNS studies by Zheng et al (2020) and Euler-Lagrangian simulations by Uzi and Levy (2018). Although the secondary flow velocities seem small in comparison to the mean streamwise flow velocity they amount a lot compared other inplane velocities such as the (hindered) settling velocities.…”

Section: Forces On the Particle Phasesupporting

confidence: 63%

Two-phase modelling for sediment water mixtures above the limit deposit velocity in horizontal pipelines

Schouten

Rhee

Keetels

2021

Journal of Hydrology and Hydromechanics

View full text Add to dashboard Cite

In dredging applications, deep sea mining and land reclamation projects typically large amounts of sediments are transported through pipes in the form of hyper concentrated (40% sediment or more) sediment-water mixtures or slurries. In this paper it is investigated how well a generic Euler-Euler CFD-model is capable to model velocity, concentration profiles and the pressure gradient of sediment above deposition limit velocity in a pipeline. This Euler-Euler solver treats both phases as a continuum with its own momentum and continuity equations. The full kinetic theory for granular flows is accounted for (no algebraic form is used) and is combined with a buoyant k-ε turbulence model for the fluid phase. The influence of the mesh size has been checked and grid convergence is achieved. All numerical schemes used are of second-order accuracy in space. The pressure gradient was calibrated by adjusting the specularity coefficient in one calibration case and kept constant afterwards. Simulations were carried out in a wide range of slurry flow parameters, in situ volume concentration (9–42%), pipe diameter (0.05–0.90 m), particle diameter (90–440 μm) and flow velocity of (3–7 m/s). The model shows satisfactory agreement to experimental data from existing literature.

show abstract

Section: Forces On the Particle Phasesupporting

confidence: 63%

Two-phase modelling for sediment water mixtures above the limit deposit velocity in horizontal pipelines

Schouten

Rhee

Keetels

2021

Journal of Hydrology and Hydromechanics

View full text Add to dashboard Cite

show abstract

“…For the Bingham model, different parameter settings were tested based on the literature [9,[28][29][30][31]. The final and best performing was the one used to compare the ODF model with the parameters a = 222, 000 Pa, b = 1.95, µ 0 = 100 Pa • s. The best performing parameter setting for the ODF model was the one where the standard deviation was computed with the slope 1.25 and D f was set to 1, i.e., setting R6 according to Table 1.…”

Section: Resultsmentioning

confidence: 99%

CFD Analysis of Turbulent Fibre Suspension Flow

Shankar

Lundberg

Pamidi

et al. 2020

Fluids

View full text Add to dashboard Cite

A new model for turbulent fibre suspension flow is proposed by introducing a model for the fibre orientation distribution function (ODF). The coupling between suspended fibres and the fluid momentum is then introduced through the second and fourth order fibre orientation tensors, respectively. From the modelled ODF, a method to construct explicit expressions for the components of the orientation tensors as functions of the flow field is derived. The implementation of the method provides a fibre model that includes the anisotropic detail of the stresses introduced due to presence of the fibres, while being significantly cheaper than solving the transport of the ODF and computing the orientation tensors from numerical integration in each iteration. The model was validated and trimmed using experimental data from flow over a backwards facing step. The model was then further validated with experimental data from a turbulent fibre suspension channel flow. Simulations were also carried out using a Bingham viscoplastic fluid model for comparison. The ODF model and the Bingham model performed reasonably well for the turbulent flow areas, and the latter model showed to be slightly better given the parameter settings tested in the present study. The ODF model may have good potential, but more rigorous study is needed to fully evaluate the model.

show abstract

“…3, and z þ ≈ 10:4 in the radial, azimuthal, and axial direction, respectively and is the same as that used to produce reliable DNS-DEM predictions in a weakly turbulent Newtonian suspension flow. 42,43 The generalized Reynolds number Re G ¼ ρ f UD=η w is chosen to characterize the non-Newtonian behavior as it has been shown to suitably collapse data for a shear-thinning flow. 44,45 Here η w is the mean wall viscosity given by,…”

Section: Computational Implementationmentioning

confidence: 99%

Dense non‐Newtonian suspension flow: Effect of solids properties and pipe size

et al. 2022

Self Cite

View full text Add to dashboard Cite

High concentration tailings transport is a promising approach for improving the safety and environmental impact of mining tailings disposal. High concentration suspensions exhibit complex non‐Newtonian behavior. The interaction between the non‐Newtonian carrier and the coarse particles is still poorly understood, particularly in the turbulent regime. This article considers the effect of solids concentration, particle and pipe size on transport characteristics in a weakly turbulent non‐Newtonian suspension using a DNS‐DEM methodology. Heterogeneous flow and a sliding bed are presented in the turbulent regime, with particles being more suspended in a small pipe. Although stratification is observed, there is no “packed” bed predicted for these cases. The presence of the viscous core region contributes to the dominance of the drag force in the central region in a non‐Newtonian suspension. Non‐Newtonian suspensions can also be transported at a much lower velocity and display a comparable specific energy consumption to a conventional dilute suspension.

show abstract

Turbulent coarse-particle suspension flow: Measurement and modelling

Cited by 29 publications

References 60 publications

Two-phase modelling for sediment water mixtures above the limit deposit velocity in horizontal pipelines

Two-phase modelling for sediment water mixtures above the limit deposit velocity in horizontal pipelines

CFD Analysis of Turbulent Fibre Suspension Flow

Dense non‐Newtonian suspension flow: Effect of solids properties and pipe size

Contact Info

Product

Resources

About