Soap bubbles for large-scale PIV in industrial wind tunnels

dc.contributor.authorEngler Faleiros, D.
dc.contributor.authorTuinstra, Marthijn
dc.contributor.authorvan Rooijen, Bart D.
dc.contributor.authorScarano, F.
dc.contributor.authorSciacchitano, A.
dc.date.accessioned2020-04-08T14:38:54Z
dc.date.available2020-04-08T14:38:54Z
dc.date.issued2019
dc.description.abstractThis work evaluates the use of helium-filled soap bubbles (HFSB) for Particle Image Velocimetry (PIV) measurements at high Reynolds numbers (up to 3.2 million) in aeronautics. The measurements are performed in the Low Speed Tunnel (LST) of the German-Dutch Wind Tunnels (DNW) using a high-lift airfoil in close-to-stall conditions up to 70 m/s. Experiments using Di-ethylhexyl- sebacat (DEHS) particles are performed for a comparison of the two seeding techniques. The signal to noise ratio of HFSB images was two orders of magnitude larger than that of DEHS, which strongly reduced the unwanted effects of background reflections and light intensity spatial variations, compared to DEHS particle images. The mean velocity field obtained with HFSB exhibits differences typically within 1% of the free stream velocity, when compared to DEHS measurements.
dc.description.sponsorshipThis research was funded from the EU’s Horizon 2020 Research and Innovation Programme under Grant Agreement No. 785350. This paper does not necessarily reflect the views of the European Commission.
dc.identifier.citation13th International Symposium on Particle Image Velocimetry – ISPIV 2019 Munich, Germany, July 22-24, 2019
dc.identifier.urihttps://dx.doi.org/10.18726/2019_3
dc.identifier.urihttps://athene-forschung.unibw.de/129147
dc.identifier.urihttp://hdl.handle.net/10921/1538
dc.language.isoen
dc.publisherUniversität der Bundeswehr München
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/785350
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectWindtunnels
dc.subjectParticle Image Velocimetry (PIV)
dc.titleSoap bubbles for large-scale PIV in industrial wind tunnels
dc.typeconferencePaper

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