The Effect of Schmidt Number on Turbulent Scalar Mixing in a Jet-in-Crossflow

He, Guoqing; Guo, Yanfei; Hsu, Andrew T.; Brankovic, A.; Syed, S. A.; Liu, N.-S.

doi:10.1115/99-gt-137

Cited by 17 publications

(19 citation statements)

References 19 publications

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“…This is somewhat in contradiction to previous studies which suggest a need to adapt S ct to the flow field conditions specifically for jet in cross flow configurations (He et al, 1999;Yeung et al, 2002). …”

Section: This Difference Is Averaged Over Each Axial Planecontrasting

confidence: 51%

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Statistical Evaluation of Rans Simulations Compared To Experiments for A Model Premixer

Akbari

McDonell

Samuelsen

2013

Engineering Applications of Computational Fluid Mechanics

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This paper investigates the ability of computationally time efficient CFD models to predict mixing of hydrogen and air in a model premixer with a complex 3D geometry. Axial and radial injection of hydrogen into swirling and non-swirling air streams at standard and elevated pressures and temperatures conditions are considered. Statistical analysis is applied to the results of comparison between experimental measurements and numerical simulations. The analysis of variance suggests that, for non-swirling flows, reasonable numerical predictions can be made if appropriate modeling parameters, such as turbulence model and turbulent Schmidt number, are considered.Comparing the results at standard conditions to those at elevated pressures and temperatures suggests that the conclusions at standard conditions may hold if appropriate scaling parameters are utilized.

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Section: This Difference Is Averaged Over Each Axial Planecontrasting

confidence: 51%

“…For an incompressible steady flow with constant viscosity, the Reynolds averaged governing equations for mass, momentum, species concentration, turbulence kinetic energy and its dissipation rate for the k-ε model can be written in the following format (He et al, 1999;Launder and Spalding, 1990;Bardina et al, 1997).…”

Section: Governing Equationsmentioning

confidence: 99%

Statistical Evaluation of Rans Simulations Compared To Experiments for A Model Premixer

Akbari

McDonell

Samuelsen

2013

Engineering Applications of Computational Fluid Mechanics

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“…They obtained a very good agreement between experiments and simulations for a Schmidt number of 2.5. In the case studied here and in the work of He et al (1999) the turbulent Schmidt number had to be reduced to fit the experimental results. This indicates that the turbulent Schmidt number may be flow dependent and that there may be introduced a significant uncertainty by using a constant value.…”

Section: Concentration Predictionsmentioning

confidence: 99%

“…The predictions with the micromixing rate using the simple large-scale dominated model show good agreement with measurements for all three flow cases. He et al (1999) have tested the adequacy and accuracy of the constant turbulent Schmidt number assumption in predicting turbulent scalar fields in jetin-cross-flows. They have simulated a round jet that was injected into a confined cross-flow in a rectangular tunnel using the RANS equations with the standard k ε − turbulence model.…”

Section: Concentration Predictionsmentioning

confidence: 99%

Experimental and Computational Studies of Turbulent Mass Transfer in a Mixing Channel

Osenbroch¹,

Hjertager²,

Solberg³

2008

International Journal of Chemical Reactor Engineering

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Experiments are carried out for passive mixing in order to obtain local mean and turbulent velocities and concentrations. The mixing takes place in a square channel with two inlets separated by a block. A combined PIV/PLIF technique is used to obtain instantaneous velocity and concentration fields. Three different flow cases are studied. The 2D numerical predictions of the mixing channel show that none of the k -turbulence models tested is suitable for the flow cases studied here. The turbulent Schmidt number is reduced to obtain a better agreement between the measured and predicted mean and fluctuating concentrations. The multi-peak presumed PDF mixing model is tested and comparisons with experiments are encouraging.KEYWORDS: mixing, PIV, PLIF, CFD, mass transfer, probability density function * The following foundations are acknowledged for their financial support to the laser laboratory at Aalborg University Esbjerg: Lida og Oscar Nielsens fond, Fabrikant Mads Clausens fond, Esbjerg seminarie fond, Direktør Ib Henriksens fond, Fabrikant P.A. Fiskers fond, Obelske fond and DONG's jubileumslegat.

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“…In order to facilitate the study of temperature field, He [22] had non-dimensionalized the temperature in the JICF as:…”

Section: Temperature Fieldmentioning

confidence: 99%

Flow Characteristics of a Low Reynolds Number Jet in Crossflow with an Obstacle Block

Chang¹,

Shao²,

Hu³

et al. 2016

TOEFJ

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Abstract:The jet in crossflow at very low Reynolds number (Re=100) with and without block is performed by means of large eddy simulation for the jet-to-crossflow velocity ratios (r) ranging from 1 to 3, and the corresponding flow characteristics are compared. The results show that the time-averaged particle trajectories of the jet are slightly changed if a block is presented, and the mixed vortices are weakened. The existence of the block also can accelerate the formation of stable counter-rotating vortex pair. At lower velocity ratio (r=1), the block has little effect on the jet in crossflow with a symmetrically positive and negative kidney shaped vortices. As the velocity ratio increases, the effect of block not only can generate an asymmetry of positive and negative kidney shaped vortices, but also it can reinforce the interaction between the positive and negative vortices in the jet in crossflow. The effect of block on the temperature field is also analyzed in detail.

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The Effect of Schmidt Number on Turbulent Scalar Mixing in a Jet-in-Crossflow

Cited by 17 publications

References 19 publications

Statistical Evaluation of Rans Simulations Compared To Experiments for A Model Premixer

Statistical Evaluation of Rans Simulations Compared To Experiments for A Model Premixer

Experimental and Computational Studies of Turbulent Mass Transfer in a Mixing Channel

Flow Characteristics of a Low Reynolds Number Jet in Crossflow with an Obstacle Block

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