Advance Search
Volume 38 Issue 3
Feb.  2025
Turn off MathJax
Article Contents
Liu Yu, Du Sijia, Li Zhongchun. Overview about Studies of Turbulent Mixing in Sub-Channel Analysis[J]. Nuclear Power Engineering, 2017, 38(3): 132-136. doi: 10.13832/j.jnpe.2017.03.0132
Citation: Liu Yu, Du Sijia, Li Zhongchun. Overview about Studies of Turbulent Mixing in Sub-Channel Analysis[J]. Nuclear Power Engineering, 2017, 38(3): 132-136. doi: 10.13832/j.jnpe.2017.03.0132

Overview about Studies of Turbulent Mixing in Sub-Channel Analysis

doi: 10.13832/j.jnpe.2017.03.0132
  • Received Date: 2017-02-20
  • Rev Recd Date: 2017-03-09
  • Available Online: 2025-02-09
  • In the sub-channel analysis,the turbulent mixing is one of the important parts of lateral mixing between coolant channels.It is non-directional cross-mixing due to the natural eddy diffusion during the fluid pulsation.The strength of turbulent mixing will affect the local thermal parameters of the sub-channel,thus affecting the critical heat flux prediction.It is an important input parameter for the reactor thermal hydraulic design and analysis.This paper aims to review the state-of-the-art studies of turbulent mixing in sub-channel analysis,in order to provide some reference during the fuel assembly design and sub-channel code development.Key issues in the turbulent mixing research were summarized,including the mechanism and models,turbulent mixing coefficient,experimental methods,CFD calculation methods and models in sub-channel code.The main theoretical model of turbulent mixing is in analogy to the molecular diffusion theory.Turbulent mixing coefficient β is a function of the sub-channel geometry and flow conditions of the coolant,and it can be obtained through experiments or CFD calculations.Turbulent mixing models in sub-channel code vary greatly.In practical applications,the choice of model depends on the specific object and the condition.

     

  • loading
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (23) PDF downloads(0) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return