Application of stereoscopic particle image velocimetry in the rutgers university supersonic wind tunnel

Robert B. Panco, Edward P. Demauro

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

The flow imaging capabilities of the Emil Buehler supersonic wind tunnel (EBSWT) at Rutgers University are expanded through the recent installation of a stereoscopic particle image velocimetry (SPIV) system. Global seeding of the Mach 3.4 flow is accomplished using a mineral oil atomizer and particle illumination is performed by a 200 mJ/pulse Nd:YAG laser. High-resolution LaVision sCMOS cameras resolve all three components of velocity with a spatial resolution of 20 μm/pixel. The particle response across an oblique shockwave is assessed and the Stokes number and mean particle diameter are found to be 0.09 and 0.34 μm, respectively. The mean velocity profile of the turbulent boundary layer at the midspan of the tunnel is transformed using van Driest inner-scaling and shown to collapse onto Cole’s law-of-the-wake in the outer region. The scaled velocity in the inner region is lower than expected and deviates from the law-of-the-wall; possible sources of error due to the PIV system are briefly discussed. The turbulence quantities, namely all three velocity component fluctuations and the in-plane Reynolds stresses, are measured across the boundary layer. The velocity fluctuation trends agree with literature but show higher-than-expected turbulence and the in-plane Reynolds stresses show excellent agreement with literature.

Original languageEnglish (US)
Title of host publicationAIAA Aviation 2019 Forum
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
ISBN (Print)9781624105890
DOIs
StatePublished - 2019
EventAIAA Aviation 2019 Forum - Dallas, United States
Duration: Jun 17 2019Jun 21 2019

Publication series

NameAIAA Aviation 2019 Forum

Conference

ConferenceAIAA Aviation 2019 Forum
Country/TerritoryUnited States
CityDallas
Period6/17/196/21/19

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Aerospace Engineering

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