IMPINGING JET STUDIES FOR TURBULENCE MODEL ASSESSMENT .1. FLOW-FIELD EXPERIMENTS
IMPINGING JET STUDIES FOR TURBULENCE MODEL ASSESSMENT .1. FLOW-FIELD EXPERIMENTS
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DOI：
10.1016/s0017-9310(05)80204-2
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发表时间：
1993-07-01
影响因子：
5.2
通讯作者：
LIAO, GX
中科院分区：
文献类型：
--
作者：
COOPER, D;JACKSON, DC;LIAO, GX
该论文报告了对正交撞击大平面的湍流射流进行的一系列广泛测量。考虑了两个雷诺数，2.3 x 10(4) 和 7 x 10(4)，而板上方的射流排放高度范围为 2 至 10 个直径，特别关注 2 和 6 个直径。该实验经过精心设计，可提供与 Baughn 和 Shimizu [ASME J. Heat Transfer 111, 1096 (1989)] 最近报道的努塞尔数数据（Re = 23 000）相同条件下的流体动力学数据。在这两个实验中，在排放之前，空气沿着足够长的光滑管道流动，以在射流的出口平面处产生充分发展的流动——这一特征有助于使用数据进行湍流模型评估。热线测量是使用标称直径为一英寸（26 毫米）和四英寸（101.6 毫米）的管道进行的。报告了板表面附近的平均速度分布以及位于 x-r 平面中的三个雷诺应力分量的数据。配套论文中报告的计算结果[Int。 J. Heat Mass Transfer 36, 2685-2697 (1993)]表明平均和湍流场数据之间具有良好的内部一致性，因为预测平均流的模型较差（或良好）地预测湍流数据也较差（良好）。
The paper reports an extensive set of measurements of a turbulent jet impinging orthogonally onto a large plane surface. Two Reynolds numbers have been considered, 2.3 x 10(4) and 7 x 10(4), while the height of the jet discharge above the plate ranges from two to ten diameters, with particular attention focused on two and six diameters. The experiment has been designed so that it provides hydrodynamic data for conditions the same as those for which Baughn and Shimizu [ASME J. Heat Transfer 111, 1096 (1989)] have recently reported Nusselt number data (at Re = 23 000). In both experiments, before discharge, the air passed along a smooth pipe sufficiently long to give fully developed flow at the exit plane of the jet-a feature that is helpful in using the data for turbulence-model evaluation. Hot-wire measurements have been made with pipes of nominally one-inch (26 mm) and four inches (101.6 mm) diameter. Data are reported of the mean velocity profile in the vicinity of the plate surface and also of the three Reynolds-stress components lying in the x-r plane. Computational results reported in a companion paper [Int. J. Heat Mass Transfer 36, 2685-2697 (1993)] indicate a good degree of internal consistency between the mean and turbulent field data in that models predicting the mean flow poorly (or well) also predict the turbulence data poorly (well).