首页> 外文会议>Asian International Conference on Fluid Machinery; 20051012-15; Yichang(CN) >STATISTICAL PREDICTION OF UNSTEADY WATER JET FLOW BY CFD
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STATISTICAL PREDICTION OF UNSTEADY WATER JET FLOW BY CFD

机译:用CFD预测非恒定水射流的统计量。

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In the preceding paper at AICFM-7, two of the authors have investigated the energy structure in a free water jet flow, and the possibility of predicting by CFD the jet geometry in Pelton turbines. Since the free water jet in air is unsteady by nature, its numerical geometry was fluctuating with time. We introduced the statistical treatment to the fluctuating numerical analysis. Based on a coupled numerical simulation of the conduit flow in a nozzle and the unsteady jet flow under the specified environmental air velocity, the unsteady characteristics of the jet flow was investigated statistically. After deciding the sampling interval and the number of samplings, the radius of water jet at the relevant sections was obtained by the distribution of kinetic energy along the radial coordinate for the every sampling data. In order to sharpen the resolution of the interface between the water and air, the volume of fluid was used as a weight for the kinetic energies in the grid cells. From the time-averaged jet geometry thus acquired, the important design parameters of the jet contraction position X_0, its radius R_0 and velocity C_0 as well as the expansion rate of jet radius k_(Rj) were predicted numerically.
机译:在上一篇关于AICFM-7的论文中,两位作者研究了自由水射流中的能量结构,以及通过CFD预测Pelton涡轮机中射流几何形状的可能性。由于空气中的自由水射流本质上是不稳定的,因此其数值几何形状会随时间波动。我们将统计处理引入到波动数值分析中。基于在特定环境空气速度下喷嘴中的导管流动和非稳态射流的耦合数值模拟,对射流的非稳态特性进行了统计研究。确定采样间隔和采样次数后,通过每个采样数据沿径向坐标的动能分布,可以得到相关截面的水射流半径。为了提高水与空气之间的界面的分辨率,将流体的体积用作网格单元中动能的权重。从由此获得的时间平均射流几何形状,数值预测了射流收缩位置X_0的重要设计参数,其半径R_0和速度C_0以及射流半径k_(Rj)的膨胀率。

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