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Numerical prediction of CHF based on CFD methodology under atmospheric pressure and low flow rate

  • Xi'an Jiaotong University

Research output: Contribution to journal › Article › peer-review

33 Scopus citations

Abstract

In order to solve the problem of non-convergence of CHF directly calculated by FLUENT under atmospheric pressure and low flow rate, a CFD methodology was proposed based on four equation drift flux model and an improved RPI wall boiling model to predict the CHF and thermal-hydraulics characteristics in the flow channel formed by the outer wall of the RPV and the inner wall of the insulation. The governing equations and flow boiling models were added into FLUENT solver, and then worked with Mixture multiphase models by user defined functions (UDFs). The developed CFD models for CHF prediction were validated by using experimental data, and the prediction results had a quite good agreement with the experimental data with deviations less than 20%. It indicated that the CFD methodology proposed in this study had a good convergence at atmospheric pressure and low flow rate. Meanwhile the CFD methodology could be qualified to predict the characteristics of CHF, and it provided a potential way to predict the CHF in the flow channel formed by the outer wall of the RPV and the inner wall of the insulation under IVR conditions of nuclear power plants.

Original languageEnglish
Pages (from-to)881-888
Number of pages8
JournalApplied Thermal Engineering
Volume149
DOIs
StatePublished - 25 Feb 2019

Keywords

  • CFD methodology
  • Critical heat flux
  • IVR
  • Mixture multiphase model
  • Severe accidents

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