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Investigation of Forward and Backward Sweep Axial Fan Noise Sources using Lattice Boltzmann Method

Ghodake, Dipali ; Sanjosé, Marlène ; Moreau, Stéphane ; Henner, Manuel (2022)
Investigation of Forward and Backward Sweep Axial Fan Noise Sources using Lattice Boltzmann Method.
FAN 2022 – International Conference on Fan Noise, Aerodynamics, Applications and Systems. Senlis, Frankreich (27.06.2022-29.06.2022)
doi: 10.26083/tuprints-00021730
Conference or Workshop Item, Primary publication, Publisher's Version

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Item Type: Conference or Workshop Item
Type of entry: Primary publication
Title: Investigation of Forward and Backward Sweep Axial Fan Noise Sources using Lattice Boltzmann Method
Language: English
Date: 2022
Place of Publication: Darmstadt
Collation: 10 Seiten
Event Title: FAN 2022 – International Conference on Fan Noise, Aerodynamics, Applications and Systems
Event Location: Senlis, Frankreich
Event Dates: 27.06.2022-29.06.2022
DOI: 10.26083/tuprints-00021730
Abstract:

Low speed axial fan used in automotive industry contributes to rising noise pollution levels in the environment that is necessary to mitigate. In this study, we simulated the impact of sweep on noise levels and compared with unswept fan by using Lattice Boltzmann method. Different inlet configurations study showed that in the experiment the strong inflow distortion is present. The quality of an incoming flow field is also responsible for higher broadband levels and tonal noise in absence of a stator in the spectra. The leading edge and trailing edge flow field details agrees very well with experimental recordings. The analysis showed that the swept blades alter the aerodynamic flow field. The backward sweep exhibit reduced blade loading near tip and increased leakage flow. The weak turbulent structures formed due to roll up of leakage flow that interacted with the blade near tip and acts as a major noise source. The standard deviation of pressure contours on blade suggest the potential noise sources. Finally, the noise spectra from simulation is validated with experiment showed a very good agreement.

Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-217301
Classification DDC: 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering
Divisions: 16 Department of Mechanical Engineering
Date Deposited: 05 Aug 2022 12:14
Last Modified: 09 Jun 2023 12:08
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/21730
PPN: 49798637X
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