Details
| Original language | English |
|---|---|
| Article number | 109915 |
| Number of pages | 12 |
| Journal | Experimental Thermal and Fluid Science |
| Volume | 112 |
| Early online date | 15 Nov 2019 |
| Publication status | Published - 1 Apr 2020 |
Abstract
Fast response Pressure-Sensitive Paint (iPSP) developed at the German Aerospace Center (DLR) in Göttingen is evaluated for measurements of acoustic pressure distributions. A test facility is constructed, which allows to measure these acoustic pressure distributions with iPSP. The aim of this evaluation is to detect pressure amplitudes below 100 Pa with sinusoidal and white noise acoustic excitation between 1 and 4 kHz. The following data analysis methods are applied to increase the signal-to-noise ratio (SNR): phase averaging, proper orthogonal decomposition (POD), dynamic mode decomposition (DMD), and fast Fourier transform (FFT). DMD is identified to be very powerful in extracting acoustic pressure fluctuations and eliminating image noise, but FFT achieves comparable results in this application. The used measurement setup combined with the DMD or FFT are capable of detecting pressure levels below 11 Pa or 114 dB sound pressure level (SPL) in cases with white noise excitation with detected mode frequencies up to 4615 Hz. The minimal detectable pressure limit during this investigation is 5 Pa or 108 dB (SPL) at 1318 Hz and sinusoidal acoustic excitation. The results from iPSP are compared to conventional measurement technique, flush with the surface mounted microphones, with good agreement.
Keywords
- Acoustic, Data analysis, DMD, Dynamic mode decomposition, FFT, iPSP, POD, Pressure-Sensitive Paint, Proper orthogonal decomposition, SPL, Surface measurement
ASJC Scopus subject areas
- Chemical Engineering(all)
- Energy(all)
- Nuclear Energy and Engineering
- Engineering(all)
- Aerospace Engineering
- Engineering(all)
- Mechanical Engineering
- Chemical Engineering(all)
- Fluid Flow and Transfer Processes
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In: Experimental Thermal and Fluid Science, Vol. 112, 109915, 01.04.2020.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Experimental validation of unsteady pressure-sensitive paint for acoustic applications
AU - Gößling, Jan
AU - Ahlefeldt, Thomas
AU - Hilfer, Michael
N1 - Funding Information: The authors would like to thank and acknowledge Akif Mumcu, M.Sc. Dipl.-Ing. Michael Henke and Prof. Jörg Seume from Leibniz University Hannover, Institute of Turbomachinery and Fluid Dynamics for their valuable support. Furthermore we would like to thank Dr. Yorita Daisuke, Dr. Christian Klein, Dr. Daniel Ernst, Dr. Carsten Spehr, Carsten Fuchs and Tobias Kleindienst from German Aerospace Center, Institute of Aerodynamics and Flow Technology, Göttingen for their important support. Also many thanks to Miku Kasai and Prof. Keisuke Asai from Tohoku University for allowing and performing the iPSP calibrations.
PY - 2020/4/1
Y1 - 2020/4/1
N2 - Fast response Pressure-Sensitive Paint (iPSP) developed at the German Aerospace Center (DLR) in Göttingen is evaluated for measurements of acoustic pressure distributions. A test facility is constructed, which allows to measure these acoustic pressure distributions with iPSP. The aim of this evaluation is to detect pressure amplitudes below 100 Pa with sinusoidal and white noise acoustic excitation between 1 and 4 kHz. The following data analysis methods are applied to increase the signal-to-noise ratio (SNR): phase averaging, proper orthogonal decomposition (POD), dynamic mode decomposition (DMD), and fast Fourier transform (FFT). DMD is identified to be very powerful in extracting acoustic pressure fluctuations and eliminating image noise, but FFT achieves comparable results in this application. The used measurement setup combined with the DMD or FFT are capable of detecting pressure levels below 11 Pa or 114 dB sound pressure level (SPL) in cases with white noise excitation with detected mode frequencies up to 4615 Hz. The minimal detectable pressure limit during this investigation is 5 Pa or 108 dB (SPL) at 1318 Hz and sinusoidal acoustic excitation. The results from iPSP are compared to conventional measurement technique, flush with the surface mounted microphones, with good agreement.
AB - Fast response Pressure-Sensitive Paint (iPSP) developed at the German Aerospace Center (DLR) in Göttingen is evaluated for measurements of acoustic pressure distributions. A test facility is constructed, which allows to measure these acoustic pressure distributions with iPSP. The aim of this evaluation is to detect pressure amplitudes below 100 Pa with sinusoidal and white noise acoustic excitation between 1 and 4 kHz. The following data analysis methods are applied to increase the signal-to-noise ratio (SNR): phase averaging, proper orthogonal decomposition (POD), dynamic mode decomposition (DMD), and fast Fourier transform (FFT). DMD is identified to be very powerful in extracting acoustic pressure fluctuations and eliminating image noise, but FFT achieves comparable results in this application. The used measurement setup combined with the DMD or FFT are capable of detecting pressure levels below 11 Pa or 114 dB sound pressure level (SPL) in cases with white noise excitation with detected mode frequencies up to 4615 Hz. The minimal detectable pressure limit during this investigation is 5 Pa or 108 dB (SPL) at 1318 Hz and sinusoidal acoustic excitation. The results from iPSP are compared to conventional measurement technique, flush with the surface mounted microphones, with good agreement.
KW - Acoustic
KW - Data analysis
KW - DMD
KW - Dynamic mode decomposition
KW - FFT
KW - iPSP
KW - POD
KW - Pressure-Sensitive Paint
KW - Proper orthogonal decomposition
KW - SPL
KW - Surface measurement
UR - http://www.scopus.com/inward/record.url?scp=85075757926&partnerID=8YFLogxK
U2 - 10.1016/j.expthermflusci.2019.109915
DO - 10.1016/j.expthermflusci.2019.109915
M3 - Article
AN - SCOPUS:85075757926
VL - 112
JO - Experimental Thermal and Fluid Science
JF - Experimental Thermal and Fluid Science
SN - 0894-1777
M1 - 109915
ER -