2016
DOI: 10.1016/j.ijheatmasstransfer.2016.05.084
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A k–Ωkθ

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Cited by 23 publications
(14 citation statements)
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“…Table 1. Values for the KLW model constants in Equations ( 8)-( 11) [22]. We define the turbulent Reynolds number R t and the non-dimensional length R δ by using the variables k and ε.…”
Section: Turbulence Model K-ω-k θ -ω θmentioning
confidence: 99%
See 2 more Smart Citations
“…Table 1. Values for the KLW model constants in Equations ( 8)-( 11) [22]. We define the turbulent Reynolds number R t and the non-dimensional length R δ by using the variables k and ε.…”
Section: Turbulence Model K-ω-k θ -ω θmentioning
confidence: 99%
“…Two-equation turbulent models can be solved if appropriate boundary conditions are applied. When a near-wall approach with no wall functions is used, the boundary conditions can be computed by a near wall series expansion, as reported in [22]. In Table 2 the expansion is computed for the mean and fluctuating velocity, and for the mean and fluctuating temperature, by considering a small, plane surface area with x-z plane coordinates and y the wall distance.…”
Section: Boundary Conditions For Turbulence Modelsmentioning
confidence: 99%
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“…In [11], the thermal model has been coupled with a low-Reynolds linear k-ε model, while in [12], the coupling with a second-order Reynolds stress model has shown better results. In [13][14][15][16], an isotropic four-parameter model has been proposed. The model introduces two additional thermal transport equations for the evaluation of the squared temperature fluctuations k θ and its dissipation ε θ .…”
Section: Introductionmentioning
confidence: 99%
“…Both configurations have been tested with the isotropic four-parameter turbulence model. Plane channel simulations for several Re τ and Pr = 0.01, 0.025 have been successfully performed [13,14,16]. Numerical simulations in forced and mixed convection regimes are very promising for the backward-facing step configuration [15], however the adoption of an anisotropic formulation is required to improve the prediction of turbulent heat flux components.…”
Section: Introductionmentioning
confidence: 99%