2017
DOI: 10.1007/s00348-017-2415-x
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Helium-filled soap bubbles for vortex core velocimetry

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Cited by 13 publications
(4 citation statements)
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References 33 publications
(38 reference statements)
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“…The scattered light of HFSB has been reported to largely exceed that of conventional micron-size PIV tracers, namely 10 4 -10 5 times (Caridi, 2018). This corresponds with a scaling of the particle image peak intensity with the square of the particle diameter, in agreement with Mie theory of scattering, and an imaging regime governed by diffraction.…”
Section: Introductionsupporting
confidence: 58%
“…The scattered light of HFSB has been reported to largely exceed that of conventional micron-size PIV tracers, namely 10 4 -10 5 times (Caridi, 2018). This corresponds with a scaling of the particle image peak intensity with the square of the particle diameter, in agreement with Mie theory of scattering, and an imaging regime governed by diffraction.…”
Section: Introductionsupporting
confidence: 58%
“…The velocity information within the vortex core is, therefore, unreliable, and the current work will not discuss tip vortex core-related properties such as core radius or maximum swirl velocity. It is noted that Caridi et al (2017) achieved a sufficient HFSB seeding of a delta-wing leading-edge vortex. However, the vortex creation differs from the current case, given that Caridi's wing has a smaller inflow velocity and a much larger effective chord length along which the vortex is created.…”
Section: Vortex Identification and Particle Tracksmentioning
confidence: 97%
“…A time response of 10 µs was inferred from the measured slip velocity within the deceleration field along the stagnation streamline. The tracing fidelity of HFSB has also been inquired within turbulent boundary layers (Faleiros et al 2018) and in the core of concentrated vortices (Caridi et al 2017). The good accuracy in the measurements of mean velocity and turbulence statistics found in the aforementioned works paves the way to the application of HFSB in a wide range of aerodynamic configurations, e.g., automotive, aerospace (Sciacchitano et al 2018), wind energy (Caridi et al 2016) and sports (Jux et al 2018).…”
Section: Introductionmentioning
confidence: 99%