Effect of dispersion characteristics on particle temperature in an idealized nonpremixed reacting jet

Glaze, D. J.; Frankel, Steven

doi:10.1016/s0301-9322(99)00013-0

Cited by 23 publications

(4 citation statements)

References 42 publications

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“…The closure proposed by Smagorinsky (1963) was used in the present work for all transient calculations. Past calculations by Glaze and Frankel (2000) successfully modeled a particle-laden jet using similar methods. The first step in approximately solving Equations (1) through (4) was to apply filtering and Favre averaging.…”

Section: Methodsmentioning

confidence: 99%

“…Particles with diameters ranging from 1 to 10 micrometers with a density of 1000 kg/m 3 were simulated. Because the particle loadings are very light in the normal operation of the apparatus, it is convenient to use only one-way coupling of the two phases (Glaze and Frankel 2000). In the experiment, about 600 particles pass through the device per liter of air flow.…”

Section: Methodsmentioning

confidence: 99%

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Selective Deflection and Localization of Flowing Aerosols onto a Substrate

Frain

Schmidt

Pan

et al. 2006

Aerosol Science and Technology

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Pulsed airflow cued by the fluorescence spectrum of a particular aerosol can be used to distinguish and deflect particles of biological origin out of an aerosol stream, permitting concentration of these particles for subsequent analysis ). However, these high velocity pulses of air have an inherent tendency to scatter particles, confounding efforts to concentrate these deflected particles for analysis. The ability to concentrate large numbers of biological particles into a small area on a collection substrate is particularly important for more species-specific techniques such as Raman and FTIR (Fourier Transform Infra-Red) spectroscopy, which require long integration times due to their weak signal strength. In the present work, a simple method is developed for deflecting and localizing particles after classification by a pulsed airflow. The concept is both modeled and experimentally tested. A specially designed funnel is used to localize the scattered particles onto an area of substrate as small as 1 mm in diameter. Computational fluid dynamics simulations were performed to investigate the interaction of the pulsed airflow with the deflected particles and the localizing funnel, in order to gain insight into design parameters and operating conditions that affect the efficiency of this technique. The results show that the combination of pulsed airflow with a localizing funnel effectively deflects and localizes the concentrated bioaerosol onto a small area of substrate or an opening of a microfluidic cell.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Selective Deflection and Localization of Flowing Aerosols onto a Substrate

Frain

Schmidt

Pan

et al. 2006

Aerosol Science and Technology

View full text Add to dashboard Cite

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“…Liquid droplets are treated as points of volume-less mass and all droplets are tracked in the simulation. Their governing equations (17), (18) are formed in the Lagrangian framework. Thermodynamic and transport properties are given by the Chemkin-II package (19), (20) .…”

Section: Applicationmentioning

confidence: 99%

CIP Characteristics in Direct Numerical Simulations

Baba

Akamatsu

Katsuki

2004

JSME international journal. Ser. B, Fluids and thermal engineer

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The numerical methods of CIP (Cubic Interpolation Pseudo-particle/Propagation) and C-CUP (CIP Combined Unified Procedure) are appropriate and numerically robust even in the direct simulation of turbulent combustible flows. Although these methods have many advantages in the numerical procedure, their accuracy and characteristics have not been evaluated in detail. In the present study, the ability of CIP was firstly examined by comparing it with classical methods in a direct numerical simulation of incompressible turbulent flow. Secondly, C-CUP was evaluated by direct simulations of a compressible-fluid, single-vortex convection problem and of the Aeolian tone. In the first cases, CIP was inferior to the classical method in the vortex shape reproduction. In the latter case, C-CUP showed an advantage in suppressing unrealistic pressure increase and satisfactorily simulated the sound pressure distribution. Furthermore, CIP and C-CUP were applied to numerical simulation of spray combustion in conjunction with applying classical methods in order to compensate the inferior points of CIP.

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“…Their computational results of two-phase characteristics are in agreement with their experimental data. Glaze & Frankel (2000) investigated the effect of dispersion characteristics on particle temperature in an idealized non-premixed reacting jet. It was found that the particle temperature behaviour is a strong function of the spatial dispersion behaviour, and the spatial dispersion is characterized by the particle Stokes number and the injection location in both reacting and non-reacting jets.…”

Section: Introductionmentioning

confidence: 99%

Modulations on turbulent characteristics by dispersed particles in gas–solid jets

2005

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A direct numerical simulation technique combined with a two-way coupling method was developed to study a gas–solid turbulent jet with a moderately high Reynolds number. The flow was weakly compressible and spatially developing. A high-resolution solver was performed for the gas phase flow-field and the Lagrangian method was used to trace particles. The modulations on flow structures and other turbulent characteristics by particles at different Stokes numbers were investigated. It is found that the particles at Stokes numbers of 0.01 and 50 can advance the development of the large-scale vortex structures and make the turbulence intensity profiles wider and lower, but the particles at a Stokes number of 1 delay the evolution of the large-scale vortex structures and decrease the turbulence intensities. The jet velocity half-width and the decay of the streamwise mean velocity in the jet centreline are reduced by all particles, in which particles at a Stokes number of 0.01 result in a larger reduction of the velocity half-width and particles at a Stokes number of 1 lead to a larger reduction of the streamwise mean velocity decay. All particles decrease the vorticity thickness, but increase the fluid momentum thickness. In addition, the two-way coupled particle distribution is more uniform than that of the one-way coupled case.

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Effect of dispersion characteristics on particle temperature in an idealized nonpremixed reacting jet

Cited by 23 publications

References 42 publications

Selective Deflection and Localization of Flowing Aerosols onto a Substrate

Selective Deflection and Localization of Flowing Aerosols onto a Substrate

CIP Characteristics in Direct Numerical Simulations

Modulations on turbulent characteristics by dispersed particles in gas–solid jets

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