Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag):

M. De Gennaro, H. Kühnelt:
"CPU-Efficient Acoustic Design for Axial Fans";
Vortrag: 7th International Styrian Noise, Vibration and Harshness Congress, Graz; 13.06.2012 - 15.06.2012; in: "Proceedings of the 7th International Styrian Noise, Vibration and Harshness Congress", SAE International, Warrendale, PA, USA, 2012-01-1564 (2012), ISSN: 0148-7191; S. 1 - 8.

Kurzfassung englisch:
Low noise design of ventilation systems is an emerging topic
in modern vehicle industry, since the thermal and acoustic
comfort experienced by the passenger is even more important
to define design criteria of HVAC components. Despite of the
recent progresses of numerical approaches in the frame of
aerodynamic and aeroacoustic simulation, the state of the art
in Computational Fluid Dynamics (CFD) and Computational
Aeroacoustics (CAA) is still far away to be capable to drive
the design of low-noise targeted components. This is mainly
due to the high complexity of physical phenomena involved
in the noise generation mechanisms, mostly related to flow
turbulence usually requiring approaches (e.g. Large Eddy
Simulation, LES) with computational demands that cannot be
easily afforded for industrial design purposes.
The goal of this paper is providing an inexpensive, fast and
reliable technique for the aeroacoustic simulation of
broadband noise arising from axial fans. It is based on the
acoustic semi-empirical model of Brooks et al. (NASA,
1989) coupled with a simplified aerodynamic model for rotor
applications based on the Blade Element Theory (BET). The
proposed technique, able to distinguish between noise sources
arising from turbulent eddies, large vorticity and laminar
instabilities, is validated on the experimental data available
from literature (Carolus et al. 2007) for an axial fan. The
good agreement between experimental and computed SPL
together with the huge potentialities offered in terms of noise
sources identification and breakdown make this approach
suitable for industrial fan design and optimization

Erstellt aus der Publikationsdatenbank des AIT Austrian Institute of Technology.