Investigation of "loud" modes in a high-speed jet to identify noise-producing events

Zachary P. Berger, Matthew G. Berry, Patrick R. Shea, Mark N. Glauser, Pinqing Kan, Jacques Lewalle, Christopher J. Ruscher, Sivaram P. Gogineni

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

    4 Scopus citations

    Abstract

    The current investigation focuses on a fully compressible, axisymmetric jet operating at high subsonic conditions. The test bed of interest includes 10 kHz time-resolved particle image velocimetry coupled with simultaneously sampled near and far-field pressure measurements. The experimental results to be presented have been conducted in the Syracuse University anechoic chamber at the Skytop campus. This study focuses on identifying possible noise-producing events in the flow field by implementing reduced-order modeling techniques to extract "loud" modes in the flow. These concepts are coupled with wavelet-based diagnostic tracking techniques to examine the spatial and temporal nature of the "loud" modes. For this work, Mach 0.6 and Mach 0.85 will be the focus, in an effort to understand the noise-producing structures in a subsonic jet. The overall goal of this work is to effciently link near-field velocity with far-field acoustics to identify the interactions of the flow field responsible for far-field noise generation. Low-dimensional "loud" modes can then be implemented into closed-loop control algorithms in real-time for far-field noise suppression. This paper will focus on these "loud" modes, primarily linking the flow physics directly to the acoustics.

    Original languageEnglish (US)
    Title of host publication53rd AIAA Aerospace Sciences Meeting
    PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
    ISBN (Print)9781624103438
    DOIs
    StatePublished - 2015
    Event53rd AIAA Aerospace Sciences Meeting, 2015 - Kissimmee, United States
    Duration: Jan 5 2015Jan 9 2015

    Publication series

    Name53rd AIAA Aerospace Sciences Meeting

    Other

    Other53rd AIAA Aerospace Sciences Meeting, 2015
    Country/TerritoryUnited States
    CityKissimmee
    Period1/5/151/9/15

    All Science Journal Classification (ASJC) codes

    • Aerospace Engineering

    Fingerprint

    Dive into the research topics of 'Investigation of "loud" modes in a high-speed jet to identify noise-producing events'. Together they form a unique fingerprint.

    Cite this