The motion of a spherical particle suspended in a turbulent flow near a plane wall

Rizk, Magdi; Elghobashi, S.

doi:10.1063/1.865048

Cited by 77 publications

(18 citation statements)

References 20 publications

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“…The constants, 1.7009 and 0.943993, account for surface effects on the drag force and external moment, respectively. The lift force (F L ), derived by Saffman, was calculated using [20][21][22] …”

Section: Hydrodynamic Force Balancementioning

confidence: 99%

Assessing the feasibility of hydrate deposition on pipeline walls—Adhesion force measurements of clathrate hydrate particles on carbon steel

Nicholas

Dieker

Sloan

et al. 2009

Journal of Colloid and Interface Science

107

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Section: Hydrodynamic Force Balancementioning

confidence: 99%

Assessing the feasibility of hydrate deposition on pipeline walls—Adhesion force measurements of clathrate hydrate particles on carbon steel

Nicholas

Dieker

Sloan

et al. 2009

Journal of Colloid and Interface Science

107

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“…Theoretically, a solid sphere immersed in a potential¯ow of an inviscid¯uid has a value C m 0Á5. This value is commonly used to model the motion of particles in a viscous¯uid (Rizk and Elghobashi, 1985;Elghobashi and Truesdell, 1992). However, according to Yen (1992), experimental evidence indicates that the value of C m for a sphere is greater than 0 .…”

Section: Equation For Sediment Particle Saltation In a Turbulent Bounmentioning

confidence: 99%

Using Lagrangian particle saltation observations for bedload sediment transport modelling

1998

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A Lagrangian model for the saltation of sand in water is proposed. Simulated saltation trajectories neglecting particle rotation and turbulence eects compare fairly well with experimental observations. The model for particle motion is coupled with a stochastic model for particle collision with the bed, such that a number of realizations of the saltation process can be simulated numerically. Model predictions of mean values and standard deviations of saltation height, length and streamwise particle velocity agree fairly well with experimental observations. Model predictions of the dynamic friction coecient are also in good agreement with experimental observations, but they underestimate the value of 0 . 63 proposed by Bagnold for this coecient. The saltation model is applied to the estimation of bedload transport rates of sand using a Bagnoldean formulation. Modelled values of the bedload transport rates overestimate those predicted by commonly used bedload formulae, which appears to be a consequence of problems in the de®nition of the dynamic friction coecient. These results seem to indicate a few problems with the Bagnoldean formulation, particularly regarding the continuum assumption for the bedload layer, which would be valid only for very high particle concentrations and small particle diameters, and also regarding the evaluation of the shear stress exerted on the bed by the saltating particles. # 1998 John Wiley Sons, Ltd.

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“…However, some of these forces may occasionally become comparable in magnitude to the Stokesian drag force within the turbulent boundary layer (Li and Ahmadi, 1992). Also, some forces may have a great impact on the deposition process (Rizk and Elghobashi, 1985;McLaughlin, 1989;Nazaroff and Cass, 1989). These forces were therefore treated as submicron particles in this study.…”

Section: Equations For Particle Motion and Dynamicsmentioning

confidence: 99%

Experimental measurements and numerical simulations of particle transport and distribution in ventilated rooms

Zhang

Chen

2006

Atmospheric Environment

325

176

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Prediction of particle dispersion and distribution in a room is very important for creating and maintaining a healthy indoor environment. The present study used a CFD program with a Lagrangian particle tracking method to predict particle dispersion and concentration distribution in ventilated rooms. Since the Lagrangian method could generate great uncertainty in particle concentration calculations, this study first investigated such uncertainty using a statistical approach. It was found that the stability of the concentration solution became well controlled as a sufficient number of particles were analyzed. Although the overall computational cost was considerable, the numerical results agreed well with associated experimental data. In all cases studied, particle size distribution was monodisperse, and particle diameter ranged from 0.31 to 4.5 μm. Particle deposition rate was neglected, and particles were hence removed only by the ventilation system. Thus the particle removal performance of different ventilation systems can be evaluated. Three ventilation systems have been studied, including ceiling and side wall supply systems and an underfloor air distribution (UFAD) system. It was found that the UFAD system had a better particle removal performance than the ceiling and side wall supply systems in the study. However, resuspended particles at the floor level can still cause problems in an underfloor air distribution system.

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The motion of a spherical particle suspended in a turbulent flow near a plane wall

Cited by 77 publications

References 20 publications

Assessing the feasibility of hydrate deposition on pipeline walls—Adhesion force measurements of clathrate hydrate particles on carbon steel

Assessing the feasibility of hydrate deposition on pipeline walls—Adhesion force measurements of clathrate hydrate particles on carbon steel

Using Lagrangian particle saltation observations for bedload sediment transport modelling

Experimental measurements and numerical simulations of particle transport and distribution in ventilated rooms

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