推进技术 ›› 2016, Vol. 37 ›› Issue (6): 1049-1054.

• 气动热力学 总体 • 上一篇    下一篇

湍流模型对湍流射流CFD模拟的影响

张 仪1,王晓东1,胡 昊1,2,康 顺1   

  1. 华北电力大学 能源动力与机械工程学院,北京 102206,华北电力大学 能源动力与机械工程学院,北京 102206,华北电力大学 能源动力与机械工程学院,北京 102206; 华北水利水电大学,河南 郑州 450045,华北电力大学 能源动力与机械工程学院,北京 102206
  • 发布日期:2021-08-15
  • 作者简介:张 仪,男,博士生,研究领域为湍流射流的数值模拟。E-mail: ncepu_zy@163.com 通讯作者:王晓东,男,博士,副教授。研究领域为热机气动热力学。
  • 基金资助:
    国家自然科学基金(51206052)。

Effects of Turbulence?Models on CFD Simulations of Turbulent Jet

  1. Department of Energy Power and Mechanical Engineering,North China Electric Power University, Beijing 102206,China,Department of Energy Power and Mechanical Engineering,North China Electric Power University, Beijing 102206,China,Department of Energy Power and Mechanical Engineering,North China Electric Power University, Beijing 102206,China;North China University of Water Resources and Electric Power,Zhengzhou 450045,China and Department of Energy Power and Mechanical Engineering,North China Electric Power University, Beijing 102206,China
  • Published:2021-08-15

摘要: 横流中的湍流射流涡旋结构复杂,湍流模型对其模拟结果影响很大。采用S-A,Realizable k-ε,k-ω和SST k-ω四种湍流模型对吹风比为0.5和1.5工况下的横流中射流进行了数值模拟研究。与实验值比较验证了数值模拟结果的可信性。分析了旋转张量和剪切张量对湍流生成的影响。发现四种湍流模型对下游速度分布的预测均较为准确,在小吹风比下S-A模型性能最好;在大吹风比下k-ω模型较为准确。

关键词: 横流中的射流;吹风比;数值模拟;湍流模型

Abstract: Due to the complex vortex structure in Jet in cross-flow (JICF),turbulence model has significant influence on the CFD simulations of JICF. Four turbulence models including S-A,Realizable k-ε,k-ω and SST k-ω are compared in the simulations of JICF under the blowing ratios of 0.5 and 1.5,respectively. The simulation results are validated by comparing with experimental data. The effects of vorticity tensor and strain tensor on turbulence production are analyzed. The simulation results show that four turbulence models can give satisfing prediction for the flow structure downstream of jets. Under the low blowing ratio,the S-A model performs best in general. Under the high blowing ratio,the k-ω model results are among the most accurate.

Key words: Jet in cross-flow;Blowing ratio;Numerical simulation;Turbulence model