Krypton tagging velocimetry (KTV) in supersonic turbulent boundary layers

D. Zahradka, N. J. Parziale, M. S. Smith, E. C. Marineau

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

The krypton tagging velocimetry (KTV) technique is applied to the turbulent boundary layer on the wall of the Mach 3 Calibration Tunnel at Arnold Engineering Development Complex (AEDC) White Oak. Profiles of velocity were measured with KTV and Pitotpressure probes in the Mach 2.75 turbulent boundary layer comprised of 99% N2/1% Kr at momentum-thickness Reynolds numbers of ReΘ = 800, 1400, and 2400. Agreement between the KTV-and Pitot-derived velocity profiles is excellent. The KTV and Pitot velocity data follow the law of the wall in the logarithmic region with application of the Van Driest I transformation. Also, the velocity data in the wake region are consistent with data from the literature for a turbulent boundary layer with a favorable pressure gradient history. A modification of the Mach 3 AEDC Calibration Tunnel is described which facilitates operation at several discrete unit Reynolds numbers consistent with AEDC Hypervelocity Tunnel 9 run conditions of interest. Moreover, to enable near-wall measurement with KTV, an 800 nm longpass filter was used to block the reflection and scatter from the 760.2 nm read-laser pulse. With the longpass filter, the 819.0 nm emission from the re-excited Kr can be imaged to track the displacement of the metastable tracer without imaging the reflection and scatter from the read laser off of solid surfaces.

Original languageEnglish
Title of host publication54th AIAA Aerospace Sciences Meeting
DOIs
StatePublished - 2016
Event54th AIAA Aerospace Sciences Meeting, 2016 - San Diego, United States
Duration: 4 Jan 20168 Jan 2016

Publication series

Name54th AIAA Aerospace Sciences Meeting
Volume0

Conference

Conference54th AIAA Aerospace Sciences Meeting, 2016
Country/TerritoryUnited States
CitySan Diego
Period4/01/168/01/16

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