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Fan Rig Noise Spectral Correction for NASA 9'x 15' Low-Speed Wind Tunnel download torrent

Fan Rig Noise Spectral Correction for NASA 9'x 15' Low-Speed Wind Tunnel download torrent

Fan Rig Noise Spectral Correction for NASA 9'x 15' Low-Speed Wind Tunnel by Nasa Technical Reports Server (Ntrs)
Fan Rig Noise Spectral Correction for NASA 9'x 15' Low-Speed Wind Tunnel
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Author: Nasa Technical Reports Server (Ntrs)
Page Count: 26 pages
Published Date: 06 Aug 2013
Publisher: Bibliogov
Publication Country: United States
Language: English
Format: Pdf
ISBN: 9781289277666
File size: 31 Mb
Download Link: Fan Rig Noise Spectral Correction for NASA 9'x 15' Low-Speed Wind Tunnel
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Aircraft engine noise research and development depends on the ability to study and predict the noise created by each engine component in isolation. Fan noise testing, however, requires a significant support system including a drive mechanism to turn the fan, a device to smooth the flow into the fan, and a stand to raise the fan off the ground each of which has the potential to create its own noise. A methodology was therefore developed to improve the data quality for the 9x15 Low Speed Wind Tunnel (LSWT) at the NASA Glenn Research Center that identifies three noise sources: fan noise, jet noise, and rig noise. The jet noise and rig noise was then measured by mounting a scale model of the 9x15 LSWT setup in a jet rig to simulate everything except the rotating machinery that characterizes fan noise. The data showed that the spectra measured in the LSWT has a strong rig noise component at frequencies as high as 3 kHz depending on the fan and speed. The jet noise was determined to be significantly lower than the rig noise. A mathematical model for the rig noise was then developed using a multi-dimensional least squares fit to the rig noise data. This allows the rig noise to be subtracted or removed, depending on the amplitude of the rig noise relative to the fan noise, at any given frequency, observer angle, or nozzle pressure ratio. The impact of isolating the fan noise with this method on spectra, overall power level (OAPWL), and Effective Perceived Noise Level (EPNL) is studied.

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