Two-dimensional krypton tagging velocimetry (Ktv-2d) investigation of shock-wave/turbulent boundary-layer interaction

M. A. Mustafa, N. J. Parziale, M. S. Smith, E. C. Marineau

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

14 Scopus citations

Abstract

Preliminary results from a two-dimensional Krypton Tagging Velocimetry (KTV-2D) investigation of a Mach 2.75 turbulent boundary and 24 degree compression corner flow are presented in this paper. KTV-2D is performed by creating a grid of tagged Kr atoms formed by intersecting laser lines and imaging the resulting fluorescence at a write step; then, after a time delay, imaging the translation of the grid by re-exciting the tagged atoms for the read step. The measurements were made in a 99% N2 and 1% Kr gas mixture. Spatial correlation was used to extract the velocity from the data. It was found that the streamwise component of the velocity in the boundary layer agrees well with the literature; however, a consistent bias was noted in the wall-normal velocity component in the boundary-layer and compression corner flows and we provide an explanation and correction for this bias which will easily be eliminated in future experimentation (the bias was a result of procedure, not inherent in the technique). The turning angle in the compression corner flow matches the result from classical inviscid theory, bringing confidence to the results.

Original languageEnglish
Title of host publicationAIAA Aerospace Sciences Meeting
DOIs
StatePublished - 2018
EventAIAA Aerospace Sciences Meeting, 2018 - Kissimmee, United States
Duration: 8 Jan 201812 Jan 2018

Publication series

NameAIAA Aerospace Sciences Meeting, 2018

Conference

ConferenceAIAA Aerospace Sciences Meeting, 2018
Country/TerritoryUnited States
CityKissimmee
Period8/01/1812/01/18

Fingerprint

Dive into the research topics of 'Two-dimensional krypton tagging velocimetry (Ktv-2d) investigation of shock-wave/turbulent boundary-layer interaction'. Together they form a unique fingerprint.

Cite this