Particle turbulent diffusion in a dust laden round jet

Yuu, Shinichi; Yasukouchi, Naoto; Hirosawa, Yasuo; Jotaki, Tomosada

doi:10.1002/aic.690240316

Cited by 133 publications

(53 citation statements)

References 27 publications

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“…Figure 14a compares our results with those of Chung and Troutt and two experimental studies. 20 ' 21 Note that in the experimental studies, the measurements were made in the far jet region, and, therefore, fail to capture the enhanced dispersion for the intermediate size particles. Although it is difficult to make a true comparison in these circumstances, our results compare favorably with the previous numerical and experimental data.…”

Section: Comparison With Previous Experimental and Numerical Resultsmentioning

confidence: 99%

Particle dispersion in a transitional axisymmetric jet - A numerical simulation

Uthuppan¹,

Aggarwal²,

Grinstein³

et al. 1994

AIAA Journal

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Section: Comparison With Previous Experimental and Numerical Resultsmentioning

confidence: 99%

Particle dispersion in a transitional axisymmetric jet - A numerical simulation

Uthuppan¹,

Aggarwal²,

Grinstein³

et al. 1994

AIAA Journal

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“…In contrast to the approach chosen for the continuous phase, Lagrangian stochastic modeling based on an EddyInteraction Model (EIM) was employed to simulate the transport and dispersion of aerosol particles (18). The mechanisms considered here included particle inertia and convection, Brownian and turbulent diffusion, and gravitational settling.…”

Section: Theoretical and Numerical Modeling Particle Transport And DImentioning

confidence: 99%

Prediction of the Deposition of Dry Powder Aerosols

Mendes

Sousa

Pinto

2009

AAPS J

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Abstract. The trajectory, mass fluxes, and deposition of aerosolized particles in a complex tubular system have been predicted. A procedure based on Lagrangian stochastic modeling is proposed to enable the anticipation of such phenomena, taking advantage of experimental results to characterize the air flow. The predictions have been obtained for pharmaceutical aerosols delivered by dry powder inhalers. A critical assessment of the dispersion model has been carried out using data available in the literature. The procedure assumes a low volume fraction of particles in the simulation of turbulent dispersion, but deposition is physically based on the interaction between the particles and both solid and liquid surfaces. The results were confirmed by experimental tests of powder deposition, run according to the European Pharmacopoeia. A parametric study was also carried out with the aim of providing a more complete evaluation of the model's performance. The comparison between predictions and experimental results has shown that the model properly describes the deposition of aerosolized particles.KEY WORDS: aerosol; computational model; dry powder inhaler; lung drug delivery; particle deposition.

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“…particle size/turbulent scale ratio, the relative densities of the phase, the volume fraction of the particles, and the particle Reynolds number, the presence of a dispersed phase can augment or CAV2001:sessionA1.003 5 attenuate the turbulence intensity (Gore and Crowe, 1989;Yarin and Hetsroni, 1994). Several models have been proposed to account for the effect of turbulence on the particle trajectories (Crowe et al, 1996;Yuu et al (1978); Dukowics (1980); Lockwood et al (1980); Jurewicz and Stock (1976);and Smith et al(1981). Gosman and Ioannides' (1981) model allows a relative mean velocity between the eddy and the particles.…”

Section: Effect Of Turbulence On Bubble Trajectory and Growthmentioning

confidence: 99%

Eulerian/Lagrangian Analysis for the Prediction of Cavitation Inception

Farrell

2003

Journal of Fluids Engineering

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An Eulerian/Lagrangian computational procedure was developed for the prediction of cavitation inception by event rate. The event rate is governed by the number distribution of nuclei, the instantaneous pressure field in the flow, the trajectory of the nuclei, and the bubble dynamics. The development of the procedure utilized an experimental database for an axisymmetric headform known as a 'Schiebe' body. The demonstration of the method in axisymmetric flows is a necessary prerequisite for application to turbomachinery flows, where the issues of grid resolution of vortices and turbulence modeling are more critical. The carrier-phase flow field was computed using an Eulerian Reynolds-Averaged Navier-Stokes solver. The Lagrangian analysis was one-way coupled to the RANS solution, since at inception, the contributions of mass, momentum, and energy of the microbubbles to the carrier flow are negligible. Probability density functions for measured nuclei populations were inverted to produce a representative population of computational bubbles, whose trajectories and growth were tracked through the flow field. The trajectories were computed using Newton's second law with models for various forces acting on the bubble. The growth was modeled using the Rayleigh-Plesset equation. The important effect of turbulence was included by adding a random velocity component to the mean flow velocity by sampling a Gaussian probability density function with variance proportional to the turbulent kinetic energy at the location of the bubble and by reducing the local static pressure by a value proportional to the turbulent kinetic energy squared. The simulation results indicate agreement with experimentally observed trends and a significant event rate at cavitation numbers above visual inception. The velocity dependence of the inception data is shown to be

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Particle turbulent diffusion in a dust laden round jet

Cited by 133 publications

References 27 publications

Particle dispersion in a transitional axisymmetric jet - A numerical simulation

Particle dispersion in a transitional axisymmetric jet - A numerical simulation

Prediction of the Deposition of Dry Powder Aerosols

Eulerian/Lagrangian Analysis for the Prediction of Cavitation Inception

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