The Methodological and Experimental Research on the Identification and Localization of Turbomachinery Rotating Sound Source

Kunbo Xu, Yun Shi, Weiyang Qiao and Zhirong Wang ()
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Kunbo Xu: School of Mechanical Engineering, Nanjing Institute of Technology, Nanjing 211167, China
Yun Shi: School of Mechanical Engineering, Nanjing Institute of Technology, Nanjing 211167, China
Weiyang Qiao: School of Power and Energy, Northwestern Polytechnical University, Xi’an 710072, China
Zhirong Wang: College of Safety Science and Engineering, Nanjing Tech University, Nanjing 211816, China

Energies, 2022, vol. 15, issue 22, 1-14

Abstract: The localization and quantification of turbomachinery rotating sound sources is an important challenge in the field of aeroacoustics. In order to compensate the motion of a rotating sound source, a rotating beamforming technique is developed and applied in a flow duct, which uses a wall-mounted microphone array placed circularly parallel to the fan, to detect the broadband noise source of the aeroengine fan. A simulation of three discrete rotating sound sources with a non-constant rotational speed is pursued to verify the effectiveness in reconstruction of the correct source positions and quantitative prediction of the source amplitudes. The technique is ulteriorly experimentally implemented at an axial low-speed fan test rig facility. The fan test rig has 19 rotor blades and 18 stator vanes, with a design speed up to 3000 rpm. The method can accurately identify the radial and circumferential positions of the three rotating sound sources in the simulation case, large side-lobes appear near the main-lobe of the sound source due to the geometric influence of the microphone array. A noticeable feature of beamforming images for axial flow fan is that the sound sources appear to be concentrated in the tip region rather than distributed along the span.

Keywords: aeroacoustics; in-duct beamforming; signal processing; fan noise (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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