Preliminary Development of a Coupling Environment Based on MOOSE and OpenFOAM and Its Application on Plate Fuel Modeling

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

High-fidelity analysis of nuclear reactors is beneficial to improving the efficiency of nuclear reactor designs. To enhance modeling fidelity, multi-physics coupling simulations are typically employed. To this end, several platforms for code coupling are under active development, including MOOSE, SALOME, et al. In this paper, the loosely coupling interface between MOOSE and OpenFOAM was developed, aiming to extend the Computational Fluid Dynamics (CFD) capacity for MOOSE. Specifically, process control, data transfer, and mesh projection of the coupled simulation are realized by the MultiApps and Transfers module within MOOSE and the externalCoupled module within OpenFOAM, where text-based data transfer is used. The CFD capabilities of OpenFOAM and the finite element analysis capabilities of MOOSE are fully utilized in this coupling environment. Subsequently, a conjugated heat transfer problem for plate fuel was conducted to demonstrate the feasibility of the developed interface, where variables consisting of temperature, convective heat transfer coefficient, and heat flux at outer surfaces are transferred between MOOSE and OpenFOAM. The predicted results of the plate fuel seem reasonable and the validity of the novel coupling code for MOOSE and OpenFOAM is preliminary confirmed.

Original languageEnglish
Title of host publicationStudent Paper Competition
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Print)9784888982566
DOIs
StatePublished - 2022
Event2022 29th International Conference on Nuclear Engineering, ICONE 2022 - Virtual, Online
Duration: 8 Aug 202212 Aug 2022

Publication series

NameInternational Conference on Nuclear Engineering, Proceedings, ICONE
Volume15

Conference

Conference2022 29th International Conference on Nuclear Engineering, ICONE 2022
CityVirtual, Online
Period8/08/2212/08/22

Keywords

  • Conjugated heat transfer
  • Data mapping
  • Multi-physics coupling
  • Process control

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