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Advanced Experimental Techniques for...

Miller, Kyle.

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Advanced Experimental Techniques for High Resolution Detection of Aft-Emitted Tonal Fan Noise.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advanced Experimental Techniques for High Resolution Detection of Aft-Emitted Tonal Fan Noise./
Author:	Miller, Kyle.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2023,
Description:	79 p.
Notes:	Source: Masters Abstracts International, Volume: 85-02.
Contained By:	Masters Abstracts International85-02.
Subject:	Acoustics. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30526823
ISBN:	9798380127264

Advanced Experimental Techniques for High Resolution Detection of Aft-Emitted Tonal Fan Noise.
Miller, Kyle.

Advanced Experimental Techniques for High Resolution Detection of Aft-Emitted Tonal Fan Noise. - Ann Arbor : ProQuest Dissertations & Theses, 2023 - 79 p.

Source: Masters Abstracts International, Volume: 85-02.

Thesis (M.S.)--University of California, Irvine, 2023.

This item must not be sold to any third party vendors.

The near acoustic field of a subscale ducted fan was experimentally measured for the purpose of understanding the physics of sound generation and refining low-order models for aft-emitted tonal fan noise. To properly resolve the detailed features of the pressure field, measurements were obtained using a phased microphone array comprising of fixed and scanning sensors. The traversing of a sensor through a spatially-varying acoustic field introduces signal non-stationarity which must be addressed by dividing the complete signal into quasistationary blocks and applying a frequency-dependent window during spectral estimation. The harmonic content of the pressure along the scan line was obtained from the signals of the axially scanning sensors using the Vold-Kalman (VK) filter and partial fields decomposition (PFD). Accurate construction of the axial pressure distribution from the microphone measurements required advanced interpolation and filtering techniques based on the the decomposition of the pressure into its unwrapped phase and amplitude. The resulting axial pressure field has sufficient spatial resolution to perform space-time correlations and calculate the convective Mach number distribution. The azimuthal distribution of the tonal pressure field was obtained from the fixed sensors using the VK filter and can be combined with the axial pressure distribution to generate a cylindrical radiation surface. The radiation surface can then be implemented into propagation and scattering tools, such as the boundary element method (BEM), to efficiently predict acoustic emission in isolated and installed configurations. The near-field measurements are compared to the predictions of a model for aft tonal emission where the source features are partially informed by the internal duct acoustics. Reasonable agreement is found in the axial pressure distributions and space-time correlations. The near-field measurements can provide guidance for refinement of the model.

ISBN: 9798380127264Subjects--Topical Terms:

879105
Acoustics.
Subjects--Index Terms:

Ducted fan

Advanced Experimental Techniques for High Resolution Detection of Aft-Emitted Tonal Fan Noise.
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245 1 0 $a Advanced Experimental Techniques for High Resolution Detection of Aft-Emitted Tonal Fan Noise.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2023
300 $a 79 p.
500 $a Source: Masters Abstracts International, Volume: 85-02.
500 $a Advisor: Papamoschou, Dimitri.
502 $a Thesis (M.S.)--University of California, Irvine, 2023.
506 $a This item must not be sold to any third party vendors.
520 $a The near acoustic field of a subscale ducted fan was experimentally measured for the purpose of understanding the physics of sound generation and refining low-order models for aft-emitted tonal fan noise. To properly resolve the detailed features of the pressure field, measurements were obtained using a phased microphone array comprising of fixed and scanning sensors. The traversing of a sensor through a spatially-varying acoustic field introduces signal non-stationarity which must be addressed by dividing the complete signal into quasistationary blocks and applying a frequency-dependent window during spectral estimation. The harmonic content of the pressure along the scan line was obtained from the signals of the axially scanning sensors using the Vold-Kalman (VK) filter and partial fields decomposition (PFD). Accurate construction of the axial pressure distribution from the microphone measurements required advanced interpolation and filtering techniques based on the the decomposition of the pressure into its unwrapped phase and amplitude. The resulting axial pressure field has sufficient spatial resolution to perform space-time correlations and calculate the convective Mach number distribution. The azimuthal distribution of the tonal pressure field was obtained from the fixed sensors using the VK filter and can be combined with the axial pressure distribution to generate a cylindrical radiation surface. The radiation surface can then be implemented into propagation and scattering tools, such as the boundary element method (BEM), to efficiently predict acoustic emission in isolated and installed configurations. The near-field measurements are compared to the predictions of a model for aft tonal emission where the source features are partially informed by the internal duct acoustics. Reasonable agreement is found in the axial pressure distributions and space-time correlations. The near-field measurements can provide guidance for refinement of the model.
590 $a School code: 0030.
650 4 $a Acoustics. $3 879105
650 4 $a Fluid mechanics. $3 528155
650 4 $a Aerospace engineering. $3 1002622
650 4 $a Mechanical engineering. $3 649730
653 $a Ducted fan
653 $a Tonal fan noise
653 $a Acoustic emission
653 $a Vold-Kalman
690 $a 0986
690 $a 0204
690 $a 0538
690 $a 0548
710 2 $a University of California, Irvine. $b Mechanical and Aerospace Engineering. $3 2093977
773 0 $t Masters Abstracts International $g 85-02.
790 $a 0030
791 $a M.S.
792 $a 2023
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30526823