Modeling of MHD turbulent heat transfer in channel flows imposed wall-normal magnetic fields under the various Prandtl number fluids

Yamamoto, Yoshinobu; Kunugi, Tomoaki

doi:10.1016/j.fusengdes.2016.01.004

Cited by 2 publications

(3 citation statements)

References 23 publications

(63 reference statements)

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“…In this model, by assuming a constant turbulent Prandtl the turbulent heat flux vector has been considered to be aligned with the temperature gradient. This model has revealed a poor approximation and can cause errors in predicting turbulent heat flux vector [12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

“…It has been shown that the turbulent Prandtl number has a considerable effect on predicting the temperature distribution in turbulent flows [13][14][15]. It is found that the estimation of turbulent Prandtl number is varied from 0.1-10 [13,14].…”

Section: Introductionmentioning

confidence: 99%

“…It is found that the estimation of turbulent Prandtl number is varied from 0.1-10 [13,14]. The presented relations regarding the determination of turbulent Prandtl number have been provided based on functions of different parameters such as molecular Prandtl number, eddy viscosity, viscosity and turbulence kinetic energy [15][16][17].…”

Section: Introductionmentioning

confidence: 99%

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Application of higher-order heat flux model for predicting turbulent methane-air combustion

Ershadi

Rajabi-Zargarabadi

2021

THERM SCI

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The present study addresses a new effort to improve the prediction of turbulent heat transfer and NO emission in non-premixed methane-air combustion. In this regard, a symmetric combustion chamber in a stoichiometric condition is numerically simulated using the Reynolds averaged Navier-Stokes equations. The Realizable k-? model and Discreate Ordinate are applied for modeling turbulence and radiation, respectively. Also, the eddy dissipation model is adopted for predicting the turbulent chemical reaction rate. Zeldovich mechanism is applied for estimating the NO emission. Higher-order generalized gradient diffusion hypothesis (HOGGDH) is employed for predicting the turbulent heat flux in turbulent reactive flows. Results show that the HOGGDH model is capable of predicting temperature distribution in good agreement with the available experimental data. Comparison of the results obtained by the simple eddy diffusivity (SED) and HOGGDH models shows that applying the HOGGDH significantly improves the over-prediction of NO emission. Finally, the average turbulent Prandtl number for the non-premixed methane-air combustion has been calculated.

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Section: Introductionmentioning

confidence: 99%