Stochastic modeling of the multiple rebound effects for particle–rough wall collisions

Konan, N. A.; Kannengieser, Olivier; Simonin, Olivier

doi:10.1016/j.ijmultiphaseflow.2009.05.006

Cited by 42 publications

(42 citation statements)

References 13 publications

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“…By using the proposed Lattice Boltzmann scheme it is possible to implement different boundary conditions describing more complex phenomena as the bouncing of solid particles on a rough wall [22]. As discussed in the introduction, the derivation of practical general wall boundary conditions in the frame of the Eulerian moment approach is a very difficult challenge and a very promising approach should be to couple the moment equations with a full resolution of the PDF transport equation in the near-wall region.…”

Section: Conclusion and Prospectsmentioning

confidence: 99%

Lattice Boltzmann model for predicting the deposition of inertial particles transported by a turbulent flow

Fede

Sofonea

Fournier

et al. 2015

International Journal of Multiphase Flow

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Please cite this article as: Fede, P., Sofonea, V., Fournier, R., Blanco, S., Simonin, O., Lepoutère, G., Ambruş, V., Lattice Boltzmann model for predicting the deposition of inertial particles transported by a turbulent flow, International Journal of Multiphase Flow (2015), doi: http://dx. AbstractDeposition of inertial solid particles transported by turbulent flows is modelled in a framework of a statistical approach based on the particle velocity Probability Density Function (PDF). The particle-turbulence interaction term is closed in the kinetic equation by a model widely inspired from the famous BGK model of the kinetic theory of rarefied gases. A Gauss-Hermite Lattice Boltzmann model is used to solve the closed kinetic equation involving the turbulence effect. The Lattice Boltzmann model is used for the case of the deposition of inertial particles transported by a homogeneous isotropic turbulent flows. Even if the carrier phase is homogeneous and isotropic, the presence of the wall coupled with particle-turbulence interactions leads to inhomogeneous particle distribution and non-equilibrium particle fluctuating motion. Despite these complexities the predictions of the Lattice Boltzmann * Corresponding author. model are in very good accordance with random-walk simulations. More specifically the mean particle velocity, the r.m.s. particle velocity and the deposition rate are all well predicted by the proposed Lattice Boltzmann model.

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Section: Conclusion and Prospectsmentioning

confidence: 99%

Lattice Boltzmann model for predicting the deposition of inertial particles transported by a turbulent flow

Fede

Sofonea

Fournier

et al. 2015

International Journal of Multiphase Flow

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“…However, more correct particle rebound would be calculated if a virtual wall was introduced for all particle incident angles. The reader is referred to Konan et al (2009) for a detailed review of other virtual wall concepts.…”

Section: Introductionmentioning

confidence: 99%

“…For most surfaces in engineering practice, virtual wall roughness inclinations may be represented using Gaussian distributions, with zero mean and standard deviations γ that depend on the wall structure and the particle diameter ( Sommerfeld and Huber, 1992;1995;Konan et al, 2009 ). However, owing to the incident perspective, particles at low incident angles do not see the lee side of roughness with the same probability as the luv side of the roughness.…”

Section: Introductionmentioning

confidence: 99%

“…This was explained by the fact that these models did not account for the multiple rebounds ( Konan et al, 2007 ) that may occur if the particle is bouncing with a small positive angle so that the particle collides with another asperity in the wall region before returning to the flow. Konan et al (2009) computed in a deterministic simulation the probability that a particle with a small bouncing angle will have a second collision with the wall before leaving the wall region. An analytical function depending only on the standard deviation of the wall roughness angle was proposed for this probability distribution.…”

Section: Introductionmentioning

confidence: 99%

“…A distinction was made between particles that had positive and negative rebound angles. The rough wall multiple-collision procedure of Konan et al (2009) was modified and the resulting procedure was applied in RANS-DPS simulation of particle-gas flow in a confined planar jet.…”

Section: Introductionmentioning

confidence: 99%

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Stochastic modelling of three-dimensional particle rebound from isotropic rough wall surface

Radenkovic

Simonin

2018

International Journal of Multiphase Flow

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Physics and Modelling of Particle Deposition and Resuspension in Wall-Bounded Turbulence

Marchioli

2016

Particles in Wall-Bounded Turbulent Flows: Deposition, Re-Suspension and Agglomeration

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The objective of this chapter is twofold. First, it provides a general overview of the Eulerian-Lagrangian modelling approach to the numerical simulation of turbulent dispersed flows in the point-particle limit. Second it reviews the phenomenology of particle deposition and resuspension in wall-bounded turbulence as brought to light by Eulerian-Lagrangian studies over the last two decades. Specific interest is devoted to the case of inertial particles, which are ubiquitous in environmental and industrial flow-systems. Effects due to particle shape on deposition and resuspension mechanisms, as well as on numerical modelling are also addressed

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Stochastic modeling of the multiple rebound effects for particle–rough wall collisions

Cited by 42 publications

References 13 publications

Lattice Boltzmann model for predicting the deposition of inertial particles transported by a turbulent flow

Lattice Boltzmann model for predicting the deposition of inertial particles transported by a turbulent flow

Stochastic modelling of three-dimensional particle rebound from isotropic rough wall surface

Physics and Modelling of Particle Deposition and Resuspension in Wall-Bounded Turbulence

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