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The computation of turbulent natural convection flows - Turbulence ...

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Inclined Cavity-2D simulations 168<br />

that the Basic Reynolds stress model predicts the temperature distribution<br />

quite well at the middle <strong>of</strong> the cavity. Its predictions deviate slightly from<br />

the experimental measurements near the two ends <strong>of</strong> the cavity. <strong>The</strong> shape<br />

<strong>of</strong> the temperature pr<strong>of</strong>ile at the top <strong>of</strong> the cavity near the cold wall and at<br />

the bottom <strong>of</strong> the cavity near the hot wall suggests that in these regions the<br />

model over-predicts turbulence level compared to experimental data. Like-<br />

wise in Figure 6.34, this turbulence over-prediction is increased by employing<br />

the TCL Reynolds stress model. <strong>The</strong> turbulence over-prediction resulting from<br />

the Reynolds stress models has already been observed in the vertical case [39],<br />

but it seems that tilting the tall cavity augments the problem. Figures 6.35-<br />

6.36 show shear stress distributions resulting from RSM-Basic and TCL com-<br />

pared with k-ε-AWF. <strong>The</strong> comparisons show that RSM-Basic and TCL both<br />

over-predict <strong>turbulent</strong> shear stress near the two ends <strong>of</strong> the cavity compared<br />

with the k-ε-AWF prediction. This over-prediction becomes significant where<br />

the RSM-TCL is employed. <strong>The</strong> overestimation <strong>of</strong> turbulence levels by the<br />

RSM near the two end-walls, is consistent with the observed deviations be-<br />

tween the measured thermal behaviour and that returned by the RSM.<br />

Figure 6.37 shows the prediction <strong>of</strong> Nu number distribution along the cold<br />

wall <strong>of</strong> the60 ◦ stable cavity resulting from RSM compared with the experimen-<br />

tal data. <strong>The</strong> comparison shows there is a good match between RSM predic-<br />

tions and experimental data. It also shows some improvements in Nu predic-<br />

tions compared with k-ε-AWF (Figure 6.30). It may be due to more accurate<br />

calculation <strong>of</strong> stresses and <strong>turbulent</strong> heat fluxes by RSM at the near-wall re-<br />

gions.

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