A technique for estimating an acoustic field in a resonance tube is suggested. The estimation of an acoustic field in a resonance tube is important for the development of the thermoacoustic engine, and can be conducted employing two sensors to measure pressure. While this measurement technique is known as the two-sensor method, care needs to be taken with the location of pressure sensors when conducting pressure measurements. In the present study, particle image velocimetry (PIV) is employed instead of a pressure measurement by a sensor, and two-dimensional velocity vector images are extracted as sequential data from only a one- time recording made by a video camera of PIV. The spatial velocity amplitude is obtained from those images, and a pressure distribution is calculated from velocity amplitudes at two points by extending the equations derived for the two-sensor method. By means of this method, problems relating to the locations and calibrations of multiple pressure sensors are avoided. Furthermore, to verify the accuracy of the present method, the experiments are conducted employing the conventional two-sensor method and laser Doppler velocimetry (LDV). Then, results by the proposed method are compared with those obtained with the two-sensor method and LDV.
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November 2015
November 19 2015
Reconstruction of an acoustic pressure field in a resonance tube by particle image velocimetry
K. Kuzuu;
K. Kuzuu
a)
Department of Prime Mover Engineering,
Tokai University
, Hiratsuka, Kanagawa, 2591292, Japan
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S. Hasegawa
S. Hasegawa
Department of Prime Mover Engineering,
Tokai University
, Hiratsuka, Kanagawa, 2591292, Japan
Search for other works by this author on:
a)
Electronic mail: [email protected]
J. Acoust. Soc. Am. 138, 3160–3168 (2015)
Article history
Received:
May 07 2015
Accepted:
October 26 2015
Citation
K. Kuzuu, S. Hasegawa; Reconstruction of an acoustic pressure field in a resonance tube by particle image velocimetry. J. Acoust. Soc. Am. 1 November 2015; 138 (5): 3160–3168. https://doi.org/10.1121/1.4935394
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