2017
DOI: 10.1016/j.nucengdes.2017.01.007
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RANS based CFD methodology for a real scale 217-pin wire-wrapped fuel assembly of KAERI PGSFR

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Cited by 35 publications
(8 citation statements)
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“…The SST k-ω model slightly over-predicted the turbulence levels compared with the experimental data. This was probably because there are larger regions with smaller velocities [ 43 , 44 ]. However, this trend was far less pronounced than in the other turbulence models.…”
Section: Resultsmentioning
confidence: 99%
“…The SST k-ω model slightly over-predicted the turbulence levels compared with the experimental data. This was probably because there are larger regions with smaller velocities [ 43 , 44 ]. However, this trend was far less pronounced than in the other turbulence models.…”
Section: Resultsmentioning
confidence: 99%
“…However, the wire-wrapped fuel assembly has numerous contact lines and points between pins and wires, making the geometry complex and the computational mesh difficult to generate. This was accomplished using an innovative grid generation method using Fortran-based in-house code [3,4,8]. This grid generation methodology does not use the mesh generation utility of STAR-CCM+.…”
Section: Methodsmentioning
confidence: 99%
“…Because the actual wire shape is simulated without distorting the shape, a more accurate prediction of the contact area between the wire and the rod becomes possible. In the previous study, an innovative grid-based RANS methodology was applied to the CFX, and the pressure drop and heat transfer were well predicted [4,9]. The grid that forms around the rod and wire is referred to as the inner fluid domain.…”
Section: Methodsmentioning
confidence: 99%
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“…The here reported overestimation of the pressure loss by using wall function overrates published results. Jeong et al (2017) have reported pressure loss for a 127-pins fuel assembly. RANS calculation with wall functions (k-ε) and wall resolved (SST k-ω) overestimate the experimentally determined pressure loss by about 10%.…”
Section: Quantitative Comparison Of Pressure Lossesmentioning
confidence: 99%