Trailing-edge noise prediction using the nonlinear disturbance equations

James P. Erwin, Philip J. Morris, Kenneth S. Brentner

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

4 Scopus citations

Abstract

Direct computation of broadband noise in reasonable computational times is possible if the calculations can be focused in a specific noise making region of interest. Turbulent boundary layer trailing edge (TBL-TE) noise is of special research interest in the wind turbine aeroacoustic community because, in large scale applications, broadband noise can propagate relatively large distances. A new computational aeroacoustic method is proposed which solves the Nonlinear Disturbance Equations (NLDE) in refined time and spatial scales surrounding the trailing edge of airfoil blades. PSU-WOPWOP uses the NLDE solution to propagate the acoustic solution to observers. A new NLDE flow solver is presented with validation cases. The Blade Systems Design Study (BSDS) atback airfoil section and a NACA 0012 airfoil are tested. Noise is generated due to unsteady laminar vortex shedding and boundary layer interaction, but no TBL-TE noise has been predicted yet. Turbulence injection techniques still have to be introduced that allow for the direct computation of TBL-TE noise. For the NLDE tool to be effective in TBL-TE noise prediction, turbulence must be injected at the inflow of the trailing edge computational domain.

Original languageEnglish (US)
Title of host publication47th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition
PublisherAmerican Institute of Aeronautics and Astronautics Inc.
ISBN (Print)9781563479694
DOIs
StatePublished - 2009

Publication series

Name47th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition

All Science Journal Classification (ASJC) codes

  • Space and Planetary Science
  • Aerospace Engineering

Fingerprint

Dive into the research topics of 'Trailing-edge noise prediction using the nonlinear disturbance equations'. Together they form a unique fingerprint.

Cite this