2020
DOI: 10.1007/s00348-020-2888-x
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Pressure fluctuations from large-scale PIV over a serrated trailing edge

Abstract: Measurements of distributed surface pressure fluctuations over trailing-edge serrations at a Reynolds number Re = 4900 are performed with time-resolved 3D particle imaging velocimetry using helium filled soap bubbles as flow tracers. The sparse velocity vector field obtained with Lagrangian particle tracking is densely reconstructed using VIC+, a data assimilation technique based on the vortex-in-cell method. The instantaneous pressure distribution is inferred by invoking the momentum equation. Experiments are… Show more

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Cited by 14 publications
(9 citation statements)
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“…The boundary layer was tripped at a distance of 5 cm after the leading edge of the plate using distributed roughness elements of 1.0 cm height (Lima Pereira et al, 2020). The schematic layout of the experiment is illustrated in Fig.…”
Section: A Wind Tunnel and Oscillating Wallmentioning
confidence: 99%
“…The boundary layer was tripped at a distance of 5 cm after the leading edge of the plate using distributed roughness elements of 1.0 cm height (Lima Pereira et al, 2020). The schematic layout of the experiment is illustrated in Fig.…”
Section: A Wind Tunnel and Oscillating Wallmentioning
confidence: 99%
“…The wall-pressure fluctuations are primarily used as input for the modelling of trailing-edge noise generation (Amiet 1976), but they have only been studied in recent works (Chong & Vathylakis 2015;Avallone et al 2017Avallone et al , 2018Ragni et al 2019;Lima Pereira et al 2020). Although these works have illustrated the overall distribution of the wall pressure on the surface of serrations, the underlying causes of its distortions have not yet been established.…”
Section: Introductionmentioning
confidence: 99%
“…The use of submillimetre HFSB has been reported to reflect 10 4 to 10 5 times more light than micrometre particles (Caridi 2018). In the past two decades, HFSB have been applied to several PIV experiments at metre scale: aircraft cabins (Bosbach et al 2009), wind turbines (Caridi et al 2016), thermal plumes (Huhn et al 2017), aeronautics (Sciacchitano et al 2018), full-scale cyclists (Jux et al 2018;Terra et al 2019;Spoelstra et al 2019), aeroacoustics (Lima Pereira et al 2020) and bird flight (Usherwood et al 2020).…”
Section: Introductionmentioning
confidence: 99%