Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag):

A. Zanon, M. De Gennaro, H. Kühnelt, D. Caridi:
"Zonal LES for Axial Fan Broadband Noise Prediction, Part 1: Experimental Study";
Vortrag: AIA-DAGA 2013, International Conference on Acoustics, Meran; 18.03.2013 - 21.03.2013; in: "AIA-DAGA 2013 Conference on Acoustics Programm and Abstracts Proceedings", Deutsche Gesellsch. f. Akustik, Berlin, (2013), ISBN: 978-3-939296-05-8; Paper-Nr. 212, 4 S.

Kurzfassung englisch:
Broadband noise prediction is a major challenge in
computational aeroacoustics for many industrial
applications. A proper aeroacoustic simulation requires the
use of highly accurate numerical approaches usually
implying a high computational burden. Therefore they are
not suitable to be implemented in optimization loops, even if
they constitute a valuable support to address the
performances of various designs. In order to reduce the
computational time for such kind of simulations, strong
approximations have to be introduced in the numerical
models. Therefore the validation and benchmark of the
simulation procedure with experimental data sets is an
essential step in order to rely on numerical results.
The object of this paper is to provide to the scientific
community a reference test-case for turbomachinery noise,
assessing the potentialities of a novel breakthrough approach
for Computational Fluid Dynamics (CFD): the zonal Large
Eddy Simulation (LES).
Few experimental data are available in the literature
concerning the aeroacoustic performance of axial fans, [1-3].
Therefore, to perform a proper validation of the numerical
approach, in Part 1 of this paper a complete experimental
characterization of the acoustic and aerodynamic field
generated by a low noise axial fan is presented. On the other
hand, in Part 2 [4], the numerical modelling of this test case
and its validation is discussed.
The test-case chosen is a 5-bladed axial fan in free field
conditions with an outer diameter of 350 mm and nominal
rotational velocity of 1400 rpm. The fan aerodynamics has
been investigated by using the planar Particle Image
Velocimetry technique (2D-PIV). The aeroacoustic
measurements were performed in a fully anechoic chamber
with multiple measurement high-sensitivity microphones
placed around the fan.

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