Nuclear Engineering and Technology

Korean Nuclear Society (한국원자력학회)
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Analysis of the performances of the CFD schemes used for coupling computation

  • Chen, Guangliang (Fundamental Science on Nuclear Safety and Simulation Technology Laboratory, Harbin Engineering University) ;
  • Jiang, Hongwei (Fundamental Science on Nuclear Safety and Simulation Technology Laboratory, Harbin Engineering University) ;
  • Kang, Huilun (Fundamental Science on Nuclear Safety and Simulation Technology Laboratory, Harbin Engineering University) ;
  • Ma, Rui (China Ship Development and Design Center) ;
  • Li, Lei (Fundamental Science on Nuclear Safety and Simulation Technology Laboratory, Harbin Engineering University) ;
  • Yu, Yang (Nuclear Power Institute of China) ;
  • Li, Xiaochang (Fundamental Science on Nuclear Safety and Simulation Technology Laboratory, Harbin Engineering University)
  • Received : 2020.06.11
  • Accepted : 2021.01.05
  • Published : 2021.07.25
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Abstract

In this paper, the coupling of fine-mesh computational fluid dynamics (CFD) thermal-hydraulics (TH) code and neutronics code is achieved using the Ansys Fluent User Defined Function (UDF) for code development, including parallel meshing mapping, data computation, and data transfer. Also, some CFD schemes are designed for mesh mapping and data transfer to guarantee physical conservation in the coupling computation. Because there is no rigorous research that gives robust guidance on the various CFD schemes that must be obtained before the fine-mesh coupling computation, this work presents a quantitative analysis of the CFD meshing and mapping schemes to improve the accuracy of the value and location of key physical prediction. Furthermore, the effect of the sub-pin scale coupling computation is also studied. It is observed that even the pin-resolved coupling computation can also create a large deviation in the maximum value and spatial locations, which also proves the significance of the research on mesh mapping and data transfer for CFD code in a coupling computation.

Keywords

Acknowledgement

This work was supported by the National Natural Science Foundation of China (Project No. 51909045, China); CNNC's young talents research project (CNNC2019YTEP-HEU01, China); the Fundamental Research Funds for the Central Universities (GK2150260197); National Key Research and Development Program (2018YFB1900302); National Natural Science Foundation of China (Project No. 11805044, China); and Science and Technology on Reactor System Design Technology Laboratory (HT-KFKT-02-2020007, China).

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