Application of an Analytical Noise Models Using Numerical and Experimental Fan Data

Authors

M. Sturm - University of Siegen, Department of Fluids and Thermodynamics, Germany
M. Sanjose - Mechanical Engineering, Université de Sherbrooke, Canada
S. Moreau - Mechanical Engineering, Université de Sherbrooke, Canada
T. Carolus - University of Siegen, Department of Fluids and Thermodynamics, Germany

Abstract

In this study, both tonal and broadband analytical models for the prediction of fan noise based on low computational costs simulations or experimental data are applied and validated. Various inflow conditions are considered to verify the ability of the tonal noise model to reproduce the tendencies between the different cases. The tones predictions are in very good agreement when using the numerical input data. For the prediction based on the experimental data the reduction of the tones with the flow control devices is well captured and the frequency-dependent variation of the tones amplitude is reproduced. The broadband noise is well predicted by a trailing-edge noise model over a wide frequency range and confirms that the trailing edge noise is the main broadband noise source mechanism in case of isolated axial fans.