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An axisymmetric model for draft tube flow at partial load

An axisymmetric model for draft tube flow at partial load

作     者:Hosein FOROUTAN Savas YAVUZKURT 

作者机构:Department of Mechanical and Nuclear Engineering The Pennsylvania State University 

出 版 物:《Journal of Hydrodynamics》 (水动力学研究与进展B辑(英文版))

年 卷 期:2016年第28卷第2期

页      面:195-205页

核心收录:

学科分类:080704[工学-流体机械及工程] 080103[工学-流体力学] 08[工学] 0807[工学-动力工程及工程热物理] 0801[工学-力学(可授工学、理学学位)] 

基  金:funded in part by the Office of Energy Efficiency and Renewable Energy (EERE), U.S. Department of Energy, under Award Numbers DE-EE0002667 (the DOE/PSU Graduate Student Fellowship Program for Hydropower Research) DE-EE0002668 (The HRF Fellowship) the Hydro Research Foundation 

主  题:hydropower draft tube turbulence model computational fluid dynamics vortex rope 

摘      要:A new Reynolds-averaged Navier-Stokes (RANS) turbulence model is developed in order to correctly predict the mean flow field in a draft tube operating under partial load using 2-D axisymmetric simulations. It is shown that although 2-D axisymmetric simulations cannot model the 3-D unsteady features of the vortex rope, they can give the average location of the vortex rope in the draft tube. Nevertheless, RANS simulations underpredict the turbulent kinetic energy (TKE) production and diffusion near the center of the draft tube where the vortex rope forms, resulting in incorrect calculation of TKE profiles and, hence, poor prediction of the axial velocity. Based on this observation, a new k- c turbulence RANS model taking into account the extra production and diffusion of TKE due to coherent structures associated with the vortex rope formation is developed. The new model can successfully predict the mean flow velocity with significant improvements in comparison with the realizable k - c model. This is attributed to better prediction of TKE production and diffusion by the new model in the draft tube under partial load. Specifically, the new model calculates 31% more production and 46% more diffusion right at the shear layer when compared to the k - ~ model.

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