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Comparison and Improvement of Wall Heat Transfer Prediction in Crossing-Shock-Wave/Turbulent-Boundary-Layer Interaction Conditions

机译:交叉冲击/湍流边界层相互作用条件的壁传热预测壁传热预测的比较与改进

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Numerical study has been carried out for a symmetrical double-sharp-fin configuration with inclination angles 7° and 15°, Mach 3.92 and Reynolds number Re_δ= 3.08×10~5, aiming for comparison and improvement wall heat transfer predictions at weak and medium/strong interaction conditions. Turbulence model influences using the to ω-based Reynolds Stress model (RSM), two-equation Shear Stress Transport (SST), and one-equation Eddy Viscosity Transport (EVT) were studied, and wall heat transfer coefficients (HTC) were evaluated by two formulations, corresponding to previous experimental and numerical studies. It was found that compared to experiments, steady RANS computation using eddy-viscosity models SST and EVT over-predicts HTC by max 50%, due to the over-prediction of wall heat flux q_w which is a critical parameter in determining wall HTC. Some improvements were obtained by using RANS-RSM modeling which improved the prediction by 50%, but still over-predict wall HTC by max 25% compared to test. To further improve HTC prediction, three methods of calculating q_w were attempted and resultant wall HTC was compared with experimental measurements. It was found that by artificially increasing the near-wall turbulent Prandtl number by a factor of 10, RANS predicted lateral wall HTC is in good agreement with available test data. A pressure-correlation based approach is also able to produce much better wall HTC prediction, in good agreement with test data for moderate/strong interaction conditions. Further comparisons were made on surface flow topology and it was found that RANS modeling was in good qualitatively agreement with experimental oil-flow visualization, and in particular RANS-RSM is able to reproduce the secondary separation phenomenon observed in experiment, due to its ability to evaluate correct level of turbulence kinetic energy that is critical in determining pseudo-laminar state of an embedded reversed flow underneath the main cross-flow vortex.
机译:对对称的双尖端配置进行了数值研究,具有7°和15°,Mach 3.92和Reynolds NumberRe_Δ= 3.08×10〜5,旨在进行弱和介质的比较和改善壁传热预测/强烈的相互作用条件。研究了使用ToΩ的雷诺应力模型(RSM),双等式剪切应力传输(SST)和单架涡粘度传输(EVT)的影响,并通过壁传热系数(HTC)进行研究两种配方,对应于先前的实验和数值研究。发现与实验相比,由于壁热通量Q_W的过度预测是确定壁HTC的关键参数,使用涡粘度模型SST和EVT的稳定RAN计算与MAX 50%过MAX 50%。通过使用RANS-RSM建模获得了一些改进,该rans-RSM建模将预测提高了50%,但仍然过度预测壁HTC与测试相比最多25%。为了进一步改善HTC预测,尝试了三种计算Q_W的方法,并将得到的壁HTC与实验测量进行了比较。发现,通过人工增加近壁湍流Prandtl数10倍,Rans预测横向壁HTC与可用的测试数据吻合良好。基于压力相关的方法也能够产生更好的壁HTC预测,与测试数据进行适度/强烈的相互作用条件的测试数据。进一步比较是对表面流拓扑的比较,发现RANS建模与实验性油流量可视化具有良好的定性协议,特别是RANS-RSM能够在实验中再现在实验中观察到的二次分离现象,这是由于其能力评估正确水平的湍流动能,这对于确定在主横流涡流下方的嵌入式反向流动的伪层状状态至关重要。

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