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首页> 外文期刊>Numerical Heat Transfer, Part B. Fundamentals: An International Journal of Computation and Methodology >EVALUATION OF TURBULENCE MODELS IN THE PREDICTION OF HEAT TRANSFER DUE TO SLOT JET IMPINGEMENT ON PLANE AND CONCAVE SURFACES
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EVALUATION OF TURBULENCE MODELS IN THE PREDICTION OF HEAT TRANSFER DUE TO SLOT JET IMPINGEMENT ON PLANE AND CONCAVE SURFACES

机译：预测平面和凹面上槽缝射流传热的湍流模型评估

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摘要

The performance of several turbulence models in the prediction of convective heat transfer due to slot jet impingement onto flat and concave cylindrical surfaces is evaluated against available experimental data. The candidate models for evaluation are (1) the standard k-ε model, (2) the RNG k-ε model, (3) the realizable k-ε model, (4) the SST k-ω model, and (5) the LRR Reynolds stress transport model. Various near-wall treatments such as equilibrium wall function and two-layer enhanced wall treatment are used in combination with these turbulence models. The computations are performed using the commercial computational fluid dynamics (CFD) code Fluent. From the validation exercises, it is found that when the impingement surface is outside the potential core of the jet, most of the turbulence models predict reasonably accurate thermal data (local Nusselt number variation along the impingement surface). When the impingement surface is within the potential core of the jet, the turbulence models grossly overpredict the Nusselt number in the impingement region, but in the wall jet region the Nusselt number prediction is fairly accurate. Overall, the RNG k_ε model with the enhanced wall treatment and the SST k_ω model predict the Nusselt number distribution better than the other models for the flat plate as well as for the concave surface impingement cases. However, the hydrody_namic data such as the mean velocity profiles are not accurately predicted by the SST for the concave surface impingement case, whereas the RNG k_ε model predictions of the velocity profiles agree very well with the experiment. The Reynolds stress model does not show any distinctive advantage over the other eddy viscosity models.
机译：根据现有的实验数据，评估了几种湍流模型在预测由于缝隙射流撞击到平坦和凹入的圆柱表面上而产生的对流换热时的性能。评估的候选模型为（1）标准k-ε模型，（2）RNGk-ε模型，（3）可实现的k-ε模型，（4）SSTk-ω模型和（5） LRR雷诺应力传递模型。与这些湍流模型结合使用各种近壁处理方法，例如平衡壁功能和两层增强壁处理方法。使用商业计算流体动力学（CFD）代码Fluent执行计算。从验证练习中发现，当撞击表面位于射流的潜在核心之外时，大多数湍流模型会预测合理准确的热数据（沿着撞击表面的局部Nusselt数变化）。当撞击表面在射流的潜在核心内时，湍流模型会严重预测撞击区域中的Nusselt数，但在壁射流区域中，Nusselt数的预测是相当准确的。总体而言，对于平板以及凹面撞击情况，经过增强壁处理的RNGk_ε模型和SSTk_ω模型预测的Nusselt数分布要好于其他模型。但是，对于凹面撞击情况，SST不能准确预测水动力数据（例如平均速度剖面），而速度剖面的RNGk_ε模型预测与实验非常吻合。与其他涡流粘度模型相比，雷诺应力模型没有显示任何明显的优势。

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