Investigation of turbulent mixed convection of air flow in vertical tubes using a zonal turbulence model

Shahraeeni, Mehdi; Raisee, Mehrdad

doi:10.1016/j.ijheatfluidflow.2009.12.004

Cited by 6 publications

(2 citation statements)

References 21 publications

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“…Fujiwara et al [ 11 ] investigated the statistical characteristics of spatial distribution fluctuations of kinetic energies of each component wave and its time derivative in wave turbulence for a Hamiltonian system with a nondecay type dispersion relation. We can also learn other similar investigations and representative results from [ 12 – 14 ]. Most of them focused on the fluid mechanics analysis in a narrow theoretical sense which describes the studied turbulence energy distribution properties without any detailed consideration on its three-dimensional structure features, the mutual fuzzy performance mechanisms between fluid energy distribution models and their respective surface fitting algorithms, leaving these difficult problems unsolved which should be further investigated.…”

Section: Introductionmentioning

confidence: 65%

Fuzzy Performance between Surface Fitting and Energy Distribution in Turbulence Runner

Liang

Liu²,

Bang-yan³

et al. 2012

The Scientific World Journal

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Because the application of surface fitting algorithms exerts a considerable fuzzy influence on the mathematical features of kinetic energy distribution, their relation mechanism in different external conditional parameters must be quantitatively analyzed. Through determining the kinetic energy value of each selected representative position coordinate point by calculating kinetic energy parameters, several typical algorithms of complicated surface fitting are applied for constructing microkinetic energy distribution surface models in the objective turbulence runner with those obtained kinetic energy values. On the base of calculating the newly proposed mathematical features, we construct fuzzy evaluation data sequence and present a new three-dimensional fuzzy quantitative evaluation method; then the value change tendencies of kinetic energy distribution surface features can be clearly quantified, and the fuzzy performance mechanism discipline between the performance results of surface fitting algorithms, the spatial features of turbulence kinetic energy distribution surface, and their respective environmental parameter conditions can be quantitatively analyzed in detail, which results in the acquirement of final conclusions concerning the inherent turbulence kinetic energy distribution performance mechanism and its mathematical relation. A further turbulence energy quantitative study can be ensured.

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Section: Introductionmentioning

confidence: 65%

Fuzzy Performance between Surface Fitting and Energy Distribution in Turbulence Runner

Liang

Liu²,

Bang-yan³

et al. 2012

The Scientific World Journal

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“…Conjugate turbulent mixed convection heat transfer in a vertical channel were studied using k − turbulence model 6 . Turbulent mixed convection of air flow in vertical tubes were studied using a zonal turbulence model 7 .…”

Section: Introductionmentioning

confidence: 99%

Effect of Buoyancy on Turbulent Mixed Convection Flow Through Vertical and Horizontal Channels

Satish¹,

Venkatasubbaiah²,

Harish³

et al. 2015

Advances in Computation, Modeling and Control of Transitional and Turbulent Flows

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The effect of buoyancy on turbulent mixed convection flow through vertical and horizontal channels has been numerically studied. Turbulence is modeled by Reynolds averaged Navier -Stokes equations (RANS) with standard k − turbulence model. The present analysis is valid when the buoyancy force effects are small compared with the forced convection effects. The mixed convection flow problem is formulated by two dimensional unsteady incompressible flow with the buoyancy term modeled by Boussinesq approximation.The governing equations are solved by high accuracy compact finite difference schemes with four stage Runge-Kutta method for time integration. Results are reported for Reynolds number of 6000 with Richardson number varied from 0 to 0.5. The velocity, temperature profiles and average Nusselt number values are presented. The buoyancy shows significant effect on the flow and heat transfer characteristics in vertical channel in comparison with the horizontal channel. The effects of heated plate velocity relative to fluid velocity in a channel are reported. The present results are matching well with the experimental results available in the literature.

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Four kinds of the two-equation turbulence model's research on flow field simulation performance of DPF's porous media and swirl-type regeneration burner

Tang

et al. 2016

Applied Thermal Engineering

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Investigation of turbulent mixed convection of air flow in vertical tubes using a zonal turbulence model

Cited by 6 publications

References 21 publications

Fuzzy Performance between Surface Fitting and Energy Distribution in Turbulence Runner

Fuzzy Performance between Surface Fitting and Energy Distribution in Turbulence Runner

Effect of Buoyancy on Turbulent Mixed Convection Flow Through Vertical and Horizontal Channels

Four kinds of the two-equation turbulence model's research on flow field simulation performance of DPF's porous media and swirl-type regeneration burner

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