期刊论文详细信息
RENEWABLE ENERGY 卷:168
Numerical study of turbulent flow past a rotating axial-flow pump based on a level-set immersed boundary method
Article
Kan, Kan1,5,6  Yang, Zixuan2,3  Lyu, Pin4,5,6  Zheng, Yuan1  Shen, Lian5,6 
[1] Hohai Univ, Coll Energy & Elect Engn, Nanjing 211100, Peoples R China
[2] Chinese Acad Sci, Inst Mech, Beijing 100864, Peoples R China
[3] Univ Chinese Acad Sci, Sch Engn Sci, Beijing 100049, Peoples R China
[4] Harbin Inst Technol, Minist Educ, Key Lab Struct Dynam Behav & Control, Harbin 150090, Peoples R China
[5] Univ Minnesota, Dept Mech Engn, 111 Church St SE, Minneapolis, MN 55455 USA
[6] Univ Minnesota, St Anthony Falls Lab, Minneapolis, MN 55455 USA
关键词: Axial-flow pump;    Large-eddy simulation;    Immersed boundary method;    Level set function;    Turbulent kinetic energy;    Flow separation;   
DOI  :  10.1016/j.renene.2020.12.103
来源: Elsevier
PDF
【 摘 要 】

Large-eddy simulation is performed to study the turbulence statistics and flow structures of the water past a rotating axial-flow pump under different flow-rate working conditions. A novel sharp-interface level-set based immersed boundary method is applied to capture the complex geometry of the pump. An unstructured triangular mesh is used to discretize the complex surface geometry of the pump, and a ray-tracing method is employed to classify the computational domain into fluid and solid regions. Turbulence statistics, including the mean velocity, turbulent kinetic energy (TKE), turbulence production, and turbulence dissipation, are analyzed under five different flow-rate working conditions around the designed condition. The results show that unsteady wake, tip leakage flow, and flow separation are accompanied by a high TKE magnitude. For the high turbulence intensity under off-designed working conditions, the tip leakage flow plays a leading role at low flow-rates, and flow separation dominates at high flow-rates. (c) 2021 Elsevier Ltd. All rights reserved.

【 授权许可】

Free   

【 预 览 】
附件列表
Files Size Format View
10_1016_j_renene_2020_12_103.pdf 2361KB PDF download
  文献评价指标  
  下载次数:8次 浏览次数:2次