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Cavitation bubble collapse monitoring by acoustic emission in laboratory testing

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Standard

Cavitation bubble collapse monitoring by acoustic emission in laboratory testing. / Ylönen, Markku; Saarenrinne, Pentti; Miettinen, Juha; Franc, Jean-Pierre; Fivel, Marc.

Proceedings of the 10th Symposium on Cavitation (CAV2018): May 14-16, 2018, Baltimore, Maryland, USA. toim. / Joseph Katz. ASME, 2018. s. 179-184 05037.

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Harvard

Ylönen, M, Saarenrinne, P, Miettinen, J, Franc, J-P & Fivel, M 2018, Cavitation bubble collapse monitoring by acoustic emission in laboratory testing. julkaisussa J Katz (Toimittaja), Proceedings of the 10th Symposium on Cavitation (CAV2018): May 14-16, 2018, Baltimore, Maryland, USA., 05037, ASME, Sivut 179-184, International Symposium on Cavitation, 1/01/00. https://doi.org/10.1115/1.861851_ch35

APA

Ylönen, M., Saarenrinne, P., Miettinen, J., Franc, J-P., & Fivel, M. (2018). Cavitation bubble collapse monitoring by acoustic emission in laboratory testing. teoksessa J. Katz (Toimittaja), Proceedings of the 10th Symposium on Cavitation (CAV2018): May 14-16, 2018, Baltimore, Maryland, USA (Sivut 179-184). [05037] ASME. https://doi.org/10.1115/1.861851_ch35

Vancouver

Ylönen M, Saarenrinne P, Miettinen J, Franc J-P, Fivel M. Cavitation bubble collapse monitoring by acoustic emission in laboratory testing. julkaisussa Katz J, toimittaja, Proceedings of the 10th Symposium on Cavitation (CAV2018): May 14-16, 2018, Baltimore, Maryland, USA. ASME. 2018. s. 179-184. 05037 https://doi.org/10.1115/1.861851_ch35

Author

Ylönen, Markku ; Saarenrinne, Pentti ; Miettinen, Juha ; Franc, Jean-Pierre ; Fivel, Marc. / Cavitation bubble collapse monitoring by acoustic emission in laboratory testing. Proceedings of the 10th Symposium on Cavitation (CAV2018): May 14-16, 2018, Baltimore, Maryland, USA. Toimittaja / Joseph Katz. ASME, 2018. Sivut 179-184

Bibtex - Lataa

@inproceedings{3965cdbc6e604e2b9a94060a6267438a,
title = "Cavitation bubble collapse monitoring by acoustic emission in laboratory testing",
abstract = "In order to investigate the potential of the acoustic emission technique in predicting cavitation erosion, laboratory tests were conducted in a high-speed cavitation tunnel. One face of a cylindrical stainless steel sample was subjected to an annular cavitation field created by the PREVERO cavitation tunnel [1]. Acoustic emission was measured from the back surface of the sample in order to detect impacts caused by cavitation bubble or cloud collapses. Cavitation aggressiveness was varied by changing the operating parameters of the cavitation tunnel. Two different operating points were compared. Collapsing cavitation bubbles lead to impacts towards the sample surface and they induce elastic waves in the material. A resonance type acoustic emission sensor with a resonance frequency of 160 kHz captured these waves during the cavitation tests. The acoustic emission waveform was measured with a sampling frequency of 5 MHz. The sensor was mounted behind the sample using a wave-guide that maintained a transfer path for the elastic waves to travel from the impacted surface to the sensor. The elastic waves reaching the sensor were observed as distinguishable bursts in the acoustic emission waveform. Acoustic emission from cavitation impacts was estimated to be about 100 times stronger than acoustic emission from other sources, such as hydrodynamic events or machine vibration. This means that the signal was almost entirely induced by cavitation. The bursts contain multiple reflections that attenuate in time and that have a frequency content corresponding to the sensor frequency response. The bursts attenuate quickly enough not to overlap, as the cavitation events occur with a large enough temporal separation. The hypothesis in this study is that the maximum amplitude of the acoustic emission event voltage correlates with the strength of the cavitation bubble collapse impacting the surface. Voltage peak value counting was applied to the acoustic emission waveform data. As the bursts contain multiple amplitude peaks due to sensor resonance, an envelope function was fitted to the waveform for peak counting. Using this method, each counted voltage peak value is expected to correspond to a single cavitation impact event. The pulse distribution shows an exponential decrease with a decreasing voltage peak value rate as the peak voltage increases. This compares well with earlier studies, such as [2] and [3], where an exponential distribution of bubble collapse amplitudes was found. The results of this study prove acoustic emission as a direct and non-intrusive method that can be used to monitor cavitation impacts from outside of the cavitation field.",
author = "Markku Yl{\"o}nen and Pentti Saarenrinne and Juha Miettinen and Jean-Pierre Franc and Marc Fivel",
year = "2018",
doi = "10.1115/1.861851_ch35",
language = "English",
pages = "179--184",
editor = "Joseph Katz",
booktitle = "Proceedings of the 10th Symposium on Cavitation (CAV2018)",
publisher = "ASME",

}

RIS (suitable for import to EndNote) - Lataa

TY - GEN

T1 - Cavitation bubble collapse monitoring by acoustic emission in laboratory testing

AU - Ylönen, Markku

AU - Saarenrinne, Pentti

AU - Miettinen, Juha

AU - Franc, Jean-Pierre

AU - Fivel, Marc

PY - 2018

Y1 - 2018

N2 - In order to investigate the potential of the acoustic emission technique in predicting cavitation erosion, laboratory tests were conducted in a high-speed cavitation tunnel. One face of a cylindrical stainless steel sample was subjected to an annular cavitation field created by the PREVERO cavitation tunnel [1]. Acoustic emission was measured from the back surface of the sample in order to detect impacts caused by cavitation bubble or cloud collapses. Cavitation aggressiveness was varied by changing the operating parameters of the cavitation tunnel. Two different operating points were compared. Collapsing cavitation bubbles lead to impacts towards the sample surface and they induce elastic waves in the material. A resonance type acoustic emission sensor with a resonance frequency of 160 kHz captured these waves during the cavitation tests. The acoustic emission waveform was measured with a sampling frequency of 5 MHz. The sensor was mounted behind the sample using a wave-guide that maintained a transfer path for the elastic waves to travel from the impacted surface to the sensor. The elastic waves reaching the sensor were observed as distinguishable bursts in the acoustic emission waveform. Acoustic emission from cavitation impacts was estimated to be about 100 times stronger than acoustic emission from other sources, such as hydrodynamic events or machine vibration. This means that the signal was almost entirely induced by cavitation. The bursts contain multiple reflections that attenuate in time and that have a frequency content corresponding to the sensor frequency response. The bursts attenuate quickly enough not to overlap, as the cavitation events occur with a large enough temporal separation. The hypothesis in this study is that the maximum amplitude of the acoustic emission event voltage correlates with the strength of the cavitation bubble collapse impacting the surface. Voltage peak value counting was applied to the acoustic emission waveform data. As the bursts contain multiple amplitude peaks due to sensor resonance, an envelope function was fitted to the waveform for peak counting. Using this method, each counted voltage peak value is expected to correspond to a single cavitation impact event. The pulse distribution shows an exponential decrease with a decreasing voltage peak value rate as the peak voltage increases. This compares well with earlier studies, such as [2] and [3], where an exponential distribution of bubble collapse amplitudes was found. The results of this study prove acoustic emission as a direct and non-intrusive method that can be used to monitor cavitation impacts from outside of the cavitation field.

AB - In order to investigate the potential of the acoustic emission technique in predicting cavitation erosion, laboratory tests were conducted in a high-speed cavitation tunnel. One face of a cylindrical stainless steel sample was subjected to an annular cavitation field created by the PREVERO cavitation tunnel [1]. Acoustic emission was measured from the back surface of the sample in order to detect impacts caused by cavitation bubble or cloud collapses. Cavitation aggressiveness was varied by changing the operating parameters of the cavitation tunnel. Two different operating points were compared. Collapsing cavitation bubbles lead to impacts towards the sample surface and they induce elastic waves in the material. A resonance type acoustic emission sensor with a resonance frequency of 160 kHz captured these waves during the cavitation tests. The acoustic emission waveform was measured with a sampling frequency of 5 MHz. The sensor was mounted behind the sample using a wave-guide that maintained a transfer path for the elastic waves to travel from the impacted surface to the sensor. The elastic waves reaching the sensor were observed as distinguishable bursts in the acoustic emission waveform. Acoustic emission from cavitation impacts was estimated to be about 100 times stronger than acoustic emission from other sources, such as hydrodynamic events or machine vibration. This means that the signal was almost entirely induced by cavitation. The bursts contain multiple reflections that attenuate in time and that have a frequency content corresponding to the sensor frequency response. The bursts attenuate quickly enough not to overlap, as the cavitation events occur with a large enough temporal separation. The hypothesis in this study is that the maximum amplitude of the acoustic emission event voltage correlates with the strength of the cavitation bubble collapse impacting the surface. Voltage peak value counting was applied to the acoustic emission waveform data. As the bursts contain multiple amplitude peaks due to sensor resonance, an envelope function was fitted to the waveform for peak counting. Using this method, each counted voltage peak value is expected to correspond to a single cavitation impact event. The pulse distribution shows an exponential decrease with a decreasing voltage peak value rate as the peak voltage increases. This compares well with earlier studies, such as [2] and [3], where an exponential distribution of bubble collapse amplitudes was found. The results of this study prove acoustic emission as a direct and non-intrusive method that can be used to monitor cavitation impacts from outside of the cavitation field.

U2 - 10.1115/1.861851_ch35

DO - 10.1115/1.861851_ch35

M3 - Conference contribution

SP - 179

EP - 184

BT - Proceedings of the 10th Symposium on Cavitation (CAV2018)

A2 - Katz, Joseph

PB - ASME

ER -