Towards High Speed Jet Noise Reduction Using Time-Resolved PIV

ORAL

Abstract

In this investigation, the flow field of a Mach 0.6 turbulent, compressible jet is studied using time-resolved particle image velocimetry (TRPIV). The hydrodynamics and acoustics are simultaneously sampled using pressure sensors in the near-field and microphones in the far-field, respectively. Two-component velocity measurements are taken in the streamwise plane of the jet, just before the collapse of the potential core. Several planes are obtained off of the jet's centerline, providing information across the entire nozzle and beyond the expanding shear layer. These measurements will provide a three-dimensional view of the flow field in the spanwise direction of the jet. Low-dimensional modeling tools are implemented to extract the energetic modes in the flow. In addition, correlations between the near-field velocity and the far-field acoustics are computed using similar techniques. These results will assist in identifying the structures and events in the near-field responsible for the far-field noise. The goal is to use the time-evolution of the flow field to identify these events both spatially as well as temporally. Ultimately, active flow control schemes will then be developed based on these findings.

Authors

  • Zachary Berger

    Syracuse University, Syracuse

  • Matthew Berry

    Syracuse University, Syracusye University, Syracuse

  • Patrick Shea

    Syracuse University

  • Barry Kiel

    AFRL, Air Force Research Laboratory

  • Naibo Jiang

    Spectral Energies LLC, Spectral Energies, LLC.

  • Bernd Noack

    Institute PPRIME/CNRS

  • Sivaram Gogineni

    Spectral Energies, Spectral Energies LLC, Spectral Energies, LLC., Spectral Energies, LLC

  • Mark Glauser

    Syracuse University, Syracuse