Active flow control for high speed jets using advanced modeling coupled with PIV

  • Zachary P. Berger
  • , Matthew G. Berry
  • , Patrick R. Shea
  • , Mark N. Glauser
  • , Bernd R. Noack
  • , Sivaram Gogineni

    Research output: Contribution to conferencePaperpeer-review

    4 Scopus citations

    Abstract

    The current work investigates a Mach 0.6 jet flow field with PIV and simultaneously sampled near and far-field pressure. Two component velocity measurements are taken in the streamwise (r-z) plane of the jet. Three cameras are placed such that each interrogation window is captured simultaneously and stitched together to capture a six diameter (D) PIV window. In addition, active flow control is applied using an actuation glove comprised of synthetic jet actuators. Both open and closed-loop control are applied in different physical forcing configurations. For closed-loop control, hydrodynamic pressure from the near-field array of sensors is fed back to the actuation system in real time. The large window PIV allows one to examine how the flow field is affected by the flow control. Low-dimensional modeling techniques, in the form of proper orthogonal decomposition, are performed in order to obtain a better understanding of the large scale, energetic events in the flow field. It has been found that active flow control changes the potential core length and shear layer expansion, which affects the overall sound pressure levels in the far-field.

    Original languageEnglish (US)
    StatePublished - 2013
    Event8th International Symposium on Turbulence and Shear Flow Phenomena, TSFP 2013 - Poitiers, France
    Duration: Aug 28 2013Aug 30 2013

    Other

    Other8th International Symposium on Turbulence and Shear Flow Phenomena, TSFP 2013
    Country/TerritoryFrance
    CityPoitiers
    Period8/28/138/30/13

    All Science Journal Classification (ASJC) codes

    • Fluid Flow and Transfer Processes

    Fingerprint

    Dive into the research topics of 'Active flow control for high speed jets using advanced modeling coupled with PIV'. Together they form a unique fingerprint.

    Cite this