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Journal of Sensors and Sensor Systems An open-access peer-reviewed journal
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Volume 5, issue 1
J. Sens. Sens. Syst., 5, 125-136, 2016
https://doi.org/10.5194/jsss-5-125-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Sensor/IRS2 2015

J. Sens. Sens. Syst., 5, 125-136, 2016
https://doi.org/10.5194/jsss-5-125-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Regular research article 06 Apr 2016

Regular research article | 06 Apr 2016

High-speed camera-based measurement system for aeroacoustic investigations

Johannes Gürtler1, Daniel Haufe1, Anita Schulz2, Friedrich Bake2, Lars Enghardt2,3, Jürgen Czarske1, and Andreas Fischer1 Johannes Gürtler et al.
  • 1Chair of Measurement and Sensor System Techniques, Department of Electrical Engineering and Information Technology, TU Dresden, Helmholtzstr. 18, 01069 Dresden, Germany
  • 2Institute of Propulsion Technology, German Aerospace Center (DLR), 10623 Berlin, Germany
  • 3Institute of Fluid Dynamics and Technical Acoustics, TU Berlin, 10623 Berlin, Germany

Abstract. The interaction of sound and flow enables an efficient noise damping. Inevitable for understanding of this aeroacoustic damping phenomenon is the simultaneous measurement of flow and sound fields. Optical sensor systems have the advantage of non-contact measurements. The necessary simultaneous determination of sound levels and flow velocities with high dynamic range has major hurdles. We present an approach based on frequency-modulated Doppler global velocimetry, where a high-speed CMOS camera with data rates over 160MSampless−1 of velocity samples is employed. Using the proposed system, two-component flow velocity measurements are performed in a three-dimensional region of interest with a spatial resolution of 224µm, based on single-pixel evaluation, and a measurement rate of 10kHz. The sensor system can simultaneously capture sound and turbulent flow velocity oscillations down to a minimal power density of 40.5(mms−1)2Hz−1 in a frequency range up to 5kHz. The presented measurements of the interaction of sound and flow support the hypothesis that the sound energy is transferred into flow energy.

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The interaction of sound and flow enables an efficient noise damping. Understanding this aeroacoustic damping phenomenon requires simultaneous measurement of flow and sound fields. Using a high-speed CMOS camera, two-component flow velocity measurements are performed in a three-dimensional region of interest. The sensor system can simultaneously capture sound and turbulent flow velocity oscillations. The presented measurements reveal that the sound energy is transferred into flow energy.
The interaction of sound and flow enables an efficient noise damping. Understanding this...
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