Investigating the magnitude and temporal localization of inertial particle mixing in turbulent channel flows

Perrone, Davide; Kuerten, Johannes G.M.; Ridolfi, Luca; Scarsoglio, Stefania

doi:10.1016/j.ijmultiphaseflow.2023.104489

Cited by 4 publications

(2 citation statements)

References 44 publications

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“…Particles tend to migrate from regions of high turbulence intensity toward lower-intensity regions due to the property of inertial particles to disperse more quickly where the turbulent intensity is higher. In particular, in wall-bounded flows, large-scale clustering and preferential concentration of particles are observed in the near-wall region [4] and are strongly influenced by the local Stokes number [5]. However, this phenomenon is weakened in the two-way coupling regime, i.e.…”

Section: Introductionmentioning

confidence: 99%

Mixed convection in turbulent particle-laden channel flow at Re_τ = 180

Zaza,

Iovieno

2024

J. Phys.: Conf. Ser.

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A numerical investigation of mixed convection in a turbulent particle-laden channel flow is presented. Using Eulerian-Lagrangian Direct Numerical Simulations (DNSs) within the point-particle approach, the interaction between wall turbulence, particle inertia and thermal inertia, and buoyancy in the two-way coupling regime has been studied. The flow dynamics is controlled by the friction Reynolds number, Richardson number, particle Stokes and thermal Stokes numbers, and the Prandtl number. The effects of particle inertia and buoyancy on fluid and particle statistics are shown for a friction Reynolds number of 180, Stokes numbers ranging from 0.6 to 120, Richardson numbers ranging from 2.72 × 10−4 to 27.2 at a single Prandtl number, 0.71. The results indicate that the effect of particle inertia is significant on particle statistics, but not as pronounced on fluid statistics at the relatively low volume fraction considered. Particle inertia modulates the overall heat flux in a non-monotonic way.

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Section: Introductionmentioning

confidence: 99%

Mixed convection in turbulent particle-laden channel flow at Re_τ = 180

Zaza,

Iovieno

2024

J. Phys.: Conf. Ser.

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“…The authors in works [25][26][27] determined the dependence and influence of the channel shape on the ratio of the friction coefficient and the Reynolds number for laminar flow in an open channel. In the articles [28][29][30], the researchers conducted an experimental analysis of the rotation of carbon fibers flowing in the discharge channel at an angle of 90°.…”

Section: Introductionmentioning

confidence: 99%

Deformable River Beds: A Numerical Study

Bazarov,

Mirzaev,

Norkulov

et al. 2023

Preprint

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A mathematical model that comprehensively captures the real behavior of riverbed deformation, encompassing all pertinent effects, is developed. The underwater slope reformation process, with the generatrix aligned along the flow velocity in the model, is considered. A numerical model is introduced to calculate the flow involving a deformable bottom, and the model's validation is established through rigorous analysis of experimental findings. The research firmly confirms the suitability of the proposed mathematical and numerical model for describing deformations in uneven and unsteady river flows, including the movement of dredging slots and channel quarries. The model's minimal equation count and reliance on empirical constants demonstrate the model's efficiency. The model's predictions align strongly with experimental data, although optimal values of empirical coefficients vary slightly across different experiments. Hence, there is a call for further investigation to derive more universally applicable closure relationships for the model. The importance of validating the model with reliable field data and its potential extension to accommodate hydraulically diverse soils is emphasized. Such an extension is feasible due to the concentration transfer equation, enabling independent calculations for particle fractions of varying sizes as long as the total particle concentration in the stream remains within reasonable limits. This dedicated research contributes significantly to understanding riverbed deformations and advancing accurate modeling and management of riverine environments.

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