2012
DOI: 10.1260/1757-2258.4.1-2.13
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Flow Topology and Secondary Separation Modelling at Crossing Shock Wave/Turbulent Boundary Layer Interaction Conditions

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Cited by 2 publications
(7 citation statements)
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“…In addition, two new saddle points C 2 and C 2 1 are captured slightly ahead of a central node point N 1 . For any further details on flow topology and structure analysis predicted by different turbulence models please consult the work carried out by Salin et al [13]. In the present work, it is important highlighting that an improvement of surface flow pattern obtained by the RSM model indeed reflects to an improved wall pressure and HTC numerical predictions.…”
Section: Methodsmentioning
confidence: 69%
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“…In addition, two new saddle points C 2 and C 2 1 are captured slightly ahead of a central node point N 1 . For any further details on flow topology and structure analysis predicted by different turbulence models please consult the work carried out by Salin et al [13]. In the present work, it is important highlighting that an improvement of surface flow pattern obtained by the RSM model indeed reflects to an improved wall pressure and HTC numerical predictions.…”
Section: Methodsmentioning
confidence: 69%
“…All models studied over-predicted the wall heat transfer coefficient although the RSM turbulence model better agrees with the experiment only along the TML. This ability of reproducing the secondary separation phenomenon observed in the experiment [1,2] and recent numerical study [13] does not improve the numerical disagreement of C h , particularly along the spanwise direction. The near-wall turbulence intensity of RSM is in fact two-order of magnitude lower than that of the SST model.…”
Section: B Comparison and Improvement Of Htc Predictionsmentioning
confidence: 87%
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“…The flow configuration and its computational domain are sketched in Figure 1. The computational domain in the present study only contains the compression side of the fin, where the 3D SWTBLI happens, and the other side of the fin is discarded to simplify the simulation, consistent with other numerical simulations found in literature [40][41][42] . The The mesh was generated based on the criterion proposed by Sagaut [43] for LES of boundary layer flows, known as ∆!…”
Section: B Computational Domain and Meshmentioning
confidence: 65%