2018
DOI: 10.1016/j.nucengdes.2018.08.002
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Comparison of experimental and simulation results on interior subchannels of a 61-pin wire-wrapped hexagonal fuel bundle

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Cited by 29 publications
(9 citation statements)
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“…4 shows the contour plot of the time-averaged axial velocity component v, for the considered values of Reynolds numbers. A lowspeed region appears at the downstream side of the wire, which is also found in Goth et al (2018). This low-speed region is more spread-out at the lower Reynolds numbers and it becomes narrower as the Reynolds increases.…”
Section: Time-averaged Velocity Fieldssupporting
confidence: 58%
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“…4 shows the contour plot of the time-averaged axial velocity component v, for the considered values of Reynolds numbers. A lowspeed region appears at the downstream side of the wire, which is also found in Goth et al (2018). This low-speed region is more spread-out at the lower Reynolds numbers and it becomes narrower as the Reynolds increases.…”
Section: Time-averaged Velocity Fieldssupporting
confidence: 58%
“…Sato et al (2009) focused on the flow field inside the gap of a 7rods, wire-wrapped hexagonal bundle, observing a lateral flow following the wrapping direction of the wire. Recently, the university of Texas performed a number of experiments in a 61-rods test section for code validation, as reported in Goth et al (2018), and for studying vortical structures that may occur in the flow, as described in and in . Computational Fluid Dynamics (CFD) studies have focused on modelling the flow around a single wrapped-wire pin (Shams et al, 2018;Fischer et al, 2007), and on simulating the entire bundle for validation purposes (Pointer et al, 2008;Merzari et al, 2016;Obabko et al, 2016;Brockmeyer et al, 2017).…”
Section: Introductionmentioning
confidence: 99%
“…A comparison of the LES results (see Fig. 7) to the experimental data in an interior sub-channel for a Reynolds number of 19 000 is presented by Goth et al (2018b). They conclude that the shape and magnitude of the mean vertical velocity component is in good agreement with maximum relative errors less than 10% until the subchannel walls are approached.…”
Section: Data Production Programmentioning
confidence: 84%
“…Validation of RANS for the 61-pin bundle described before was performed based on comparison with the LES data presented by Goth et al (2018b). To allow a good quality mesh in LES, it was decided to slightly flatten the wire near the adjacent pin as described in Goth et al (2018b). To avoid any uncertainties in geometric modelling, the RANS model was based on the LES model using exactly the same geometry flattening the wire near the adjacent pin.…”
Section: Numerical Programmentioning
confidence: 99%
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