Large eddy simulation of particle deposition in a vertical turbulent channel flow

Wang, Q.; Squires, Kyle D.

doi:10.1016/0301-9322(96)00007-9

Cited by 151 publications

(81 citation statements)

References 22 publications

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“…Here, N is the number of particles, A the surface area of the walls, V the volume of the domain, and N dep the concentration of deposited particles. 6 The DNS deposition velocities fall within the range of experimental data presented by Young and Leeming. 2 The a priori curve clearly illustrates that filtering the fluid velocity has a large impact on turbophoresis; especially in the diffusion impaction regime the increase in particle concentration is strongly reduced.…”

supporting

confidence: 75%

“…However, most large-eddy simulations of particleladen flows still use the filtered fluid velocity in the particle's equation of motion, 6 without incorporating a model for the difference between filtered and unfiltered velocities. In this Letter the effect of this disregard of the subgrid scales in the particle equations is studied by means of DNS and LES of particle-laden turbulent channel flow.…”

mentioning

confidence: 99%

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Can turbophoresis be predicted by large-eddy simulation?

Kuerten

Vreman²

2004

Physics of Fluids

110

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Direct numerical simulation (DNS) and large-eddy simulation (LES) of particle-laden turbulent channel flow, in which the particles experience a drag force, are performed. In this flow turbophoresis leads to an accumulation of particles near the walls. It is shown that the turbophoresis in LES is reduced, in case the subgrid effects in the particle equations of motion are ignored. To alleviate this problem an inverse filtering model is proposed and incorporated into the particle equations. The model is shown to enhance the turbophoresis in actual LES, such that a good agreement with the DNS prediction is obtained.

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supporting

confidence: 75%

mentioning

confidence: 99%

Can turbophoresis be predicted by large-eddy simulation?

Kuerten

Vreman²

2004

Physics of Fluids

110

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“…For canonical turbulent flows, such as channel and pipe flow, particle deposition is well documented in the literature (Liu & Agarwal, 1974;Kallio & Reeks, 1989;McLaughlin, 1989;Wang & Squires, 1996;Young & Leeming, 1997) and is generally plotted against the dimensionless particle relaxation time, τ + p , given by…”

Section: Reynolds Number Effectmentioning

confidence: 99%

Direct numerical simulations of flow in realistic mouth–throat geometries

Nicolaou

Zaki

2013

Journal of Aerosol Science

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“…The particle equation of motion always contains the fluid velocity, and in an LES only the resolved part of the fluid velocity is known. In many examples, the equation of motion for the particles is solved with the filtered fluid velocity 5,11,12 without incorporating a model for the subgrid scales. When the particle relaxation time is large compared to the Kolmogorov time scale and the smallest time scale resolved in the LES, this approach is justified.…”

Section: Introductionmentioning

confidence: 99%

Subgrid modeling in particle-laden channel flow

2006

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Direct numerical simulation ͑DNS͒ and large-eddy simulation ͑LES͒ of particle-laden turbulent channel flow, in which the particles experience a drag force, are investigated for two subgrid models and several Reynolds and Stokes numbers. In this flow, turbophoresis leads to an accumulation of particles near the walls. The objectives of the work are to investigate the accuracy of the subgrid models studied with respect to particle behavior and to explain the observed particle behavior predicted by the different models. The focus is on particle dispersion and mean particle motion in the direction normal to the walls of the channel. For a low Reynolds number, it is shown that the turbophoresis and particle velocity fluctuations are reduced compared to DNS, if the filtered fluid velocity calculated in the LES is used in the particle equation of motion. This is a combined effect of the disregard of the subgrid scales in the fluid velocity and the inadequacy of the subgrid model. Better agreement with DNS is obtained if an inverse filtering model, which was recently proposed, is incorporated into the particle equation. This model is shown to enhance turbophoresis and particle velocity fluctuations in actual LES. The results of the approximate deconvolution model ͑ADM͒ agree better with DNS results than results of the dynamic eddy-viscosity model. This can be explained from the better prediction of the fluid velocity statistics by ADM and the better correspondence of the subgrid models adopted in the fluid and particle equations. Although the differences between the two subgrid models become smaller, similar conclusions are obtained at a higher Reynolds number. Compared to fourth-order interpolation of the fluid velocity to the particle position, second-order interpolation approximately cancels the effect of the subgrid model in the particle equation of motion.

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Large eddy simulation of particle deposition in a vertical turbulent channel flow

Cited by 151 publications

References 22 publications

Can turbophoresis be predicted by large-eddy simulation?

Can turbophoresis be predicted by large-eddy simulation?

Direct numerical simulations of flow in realistic mouth–throat geometries

Subgrid modeling in particle-laden channel flow

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