Competing Broadband Noise Mechanisms in Low Speed Axial Fans

Author(s):  
Stephane Moreau ◽  
Michel Roger
Keyword(s):  
Author(s):  
A. Zanon ◽  
M. De Gennaro ◽  
H. Kuehnelt ◽  
D. Langmayr ◽  
D. Caridi

Aerodynamic noise prediction is a major challenge in computational aeroacoustics due to the complexity of phenomena involved such as turbulence and laminar to turbulent transition. Accurate numerical methodologies, capable to provide reliable predictions in a reasonable computational time, are of large interest for the industrial design of Heating, Ventilation and Air-Conditioning (HVAC) systems. The objective of the present research work is to benchmark different CFD/CAA simulation setup (i.e. mesh topologies, boundary conditions) for predicting the broadband noise generated by low speed axial fans to develop guidelines for reliable and computationally affordable simulation. In previous works the authors investigated the capabilities of the Zonal LES technique coupled with the Ffowcs Williams-Hawkings acoustic analogy for the prediction of the noise generated by an unducted low speed axial fan. The results showed a good agreement with aerodynamic and aeroacoustic experimental data. Despite the achievements obtained so far, the high physical and numerical complexity of the problem calls for further investigations. The latest developments, presented here, focus on the impact of the mesh topology and the inflow turbulence on the far field noise prediction. Two computational meshes with different topology are investigated: an unstructured-hybrid mesh, which can be generated with fast and highly automated methods, and a structured-hybrid mesh, which allows better control of the volume mesh around the blade. Both meshes are designed to adequately resolve the boundary layer, providing LES driven values of y+, x+ and z+ on the blade surface for the operating condition considered. Two different levels of inflow turbulence are studied, one representing an ideal turbulence-free unbounded environment, and one mimicking the experimental measurements environment. All the aerodynamic and aeroacoustic simulation results presented are benchmarked with experimental data acquired by the authors.


AIAA Journal ◽  
2007 ◽  
Vol 45 (1) ◽  
pp. 48-57 ◽  
Author(s):  
Stéphane Moreau ◽  
Michel Roger
Keyword(s):  

2010 ◽  
Vol 128 (1) ◽  
pp. 152-163 ◽  
Author(s):  
L. Huang ◽  
X. Ma ◽  
L. G. Feng
Keyword(s):  

2021 ◽  
pp. 1-12
Author(s):  
Piero Danieli ◽  
Massimo Masi ◽  
Giovanni Delibra ◽  
Alessandro Corsini ◽  
Andrea Lazzaretto

Abstract This work deals with the application of the open source CFD code MULTALL to the analysis of tube-axial-fans. The code has been widely validated in the literature for high-speed turbomachine flows but not applied yet to low speed tutbomachines. The aim of this work is to assess the degree of reliability of MULTALL as a tool for simulating the internal flow in industrial axial-flow fan rotors. To this end, the predictions of the steady-state air flow field in the annular sector of a 315 mm tube-axial fan obtained by MULTALL 18.3 are compared with those obtained by two state-of-the-art CFD codes and experimental data of the global aerodynamic performance of the fan and the pitch-wise averaged velocity distribution downstream of the rotor. All the steady-state RANS calculations were performed on either fully structured hexahedron or hexa-dominant grids using classical formulations of algebraic turbulence models. The pressure curve and the trend of the aeraulic efficiency in the stable operation range of the fan predicted by MULTALL show very good agreement with both the experimental data and the other CFD results. Although the estimation of the fan efficiency predicted by MULTALL can be noticeably improved by the more sophisticated state-of-the-art CFD codes, the analysis of the velocity distribution at the rotor exit supports the use of MULTALL as a reliable CFD analysis tool for designers of low-speed axial fans.


2010 ◽  
Vol 9 (3) ◽  
pp. 237-251 ◽  
Author(s):  
V. Jurdic ◽  
P. Joseph ◽  
A. Moreau ◽  
L. Enghardt
Keyword(s):  

2010 ◽  
Vol 127 (3) ◽  
pp. 1837-1837 ◽  
Author(s):  
Stefano Bianchi ◽  
Alessandro Corsini ◽  
Anthony G. Sheard

2010 ◽  
Vol 127 (3) ◽  
pp. 1781-1781
Author(s):  
W.C. Kirkpatrick Alberts ◽  
Kevin J. Sanchez ◽  
Mark A. Coleman ◽  
Josh Gabrielse ◽  
David A. Ligon
Keyword(s):  

2014 ◽  
Vol 54 ◽  
pp. 71-84 ◽  
Author(s):  
J.M. Fernández Oro ◽  
K.M. Argüelles Díaz ◽  
M. Rodríguez Lastra ◽  
M. Galdo Vega ◽  
B. Pereiras García

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