Trailing-edge noise diagnostics with low-repetition-rate PIV

Conference paper (2016)

Authors

S. Pröbsting Wind Energy - Aerospace Engineering
J.F.G. Schneiders Aerodynamics - Aerospace Engineering
F. Avallone Wind Energy - Aerospace Engineering
D. Ragni Wind Energy - Aerospace Engineering
F. Scarano Flow Physics and Technology
Research Group
Wind Energy (Aerospace Engineering) (TU Delft)
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Published Date

2016

Language

English

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Faculty

Aerospace Engineering

Department

Flow Physics and Technology

Research Group

Wind Energy

Abstract

A novel approach for trailing-edge noise diagnostics with low-repetition rate Particle Im- age Velocimetry systems is presented. The approach is based on the application of di_rac- tion theory and implements a recently developed single-snapshot pressure reconstruction in boundary layers using the Vortex-in-cell method in combination with a frozen turbulence assumption to estimate the relevant statistical descriptors of the surface pressure _eld. The present communication describes the required planar and tomographic Particle Im- age Velocimetry experiments with a high spatial-dynamic-range system and demonstrates the applicability of the approach by comparison of hydrodynamic and acoustic pressure statistics with available data. The frequency spectra of the hydrodynamic pressure near the surface are found to be sensitive to the model employed for the convective velocity in the application of the frozen turbulence assumption for reduced frequencies f_?=u1 > 0:5 (2:3kHz). For lower reduced frequencies, excellent agreement with the reference data is observed.