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Shedding frequency in cavitation erosion evolution tracking

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Shedding frequency in cavitation erosion evolution tracking. / Ylönen, Markku; Franc, Jean Pierre; Miettinen, Juha; Saarenrinne, Pentti; Fivel, Marc.

In: International Journal of Multiphase Flow, Vol. 118, 01.09.2019, p. 141-149.

Research output: Contribution to journalArticleScientificpeer-review

Harvard

Ylönen, M, Franc, JP, Miettinen, J, Saarenrinne, P & Fivel, M 2019, 'Shedding frequency in cavitation erosion evolution tracking', International Journal of Multiphase Flow, vol. 118, pp. 141-149. https://doi.org/10.1016/j.ijmultiphaseflow.2019.06.009

APA

Ylönen, M., Franc, J. P., Miettinen, J., Saarenrinne, P., & Fivel, M. (2019). Shedding frequency in cavitation erosion evolution tracking. International Journal of Multiphase Flow, 118, 141-149. https://doi.org/10.1016/j.ijmultiphaseflow.2019.06.009

Vancouver

Ylönen M, Franc JP, Miettinen J, Saarenrinne P, Fivel M. Shedding frequency in cavitation erosion evolution tracking. International Journal of Multiphase Flow. 2019 Sep 1;118:141-149. https://doi.org/10.1016/j.ijmultiphaseflow.2019.06.009

Author

Ylönen, Markku ; Franc, Jean Pierre ; Miettinen, Juha ; Saarenrinne, Pentti ; Fivel, Marc. / Shedding frequency in cavitation erosion evolution tracking. In: International Journal of Multiphase Flow. 2019 ; Vol. 118. pp. 141-149.

Bibtex - Download

@article{3c10437d7a474a67a116184633162f7e,
title = "Shedding frequency in cavitation erosion evolution tracking",
abstract = "Cavitation erosion is a concern for most hydraulic machinery. An especially damaging type of cavitation is cloud cavitation. This type of cavitation is characterized by a growth-collapse cycle in which a group of vapor bubbles first grows together in a low-pressure region and then collapses almost simultaneously when the pressure recovers. Measuring the frequency of these collapse events is possible by acoustic emission (AE), as demonstrated in this study, in which a cavitation tunnel is utilized to create cloud cavitation in the vicinity of a sample surface. These samples were equipped with AE sensors, and the initially high frequency AE signal was demodulated to detect the relatively low frequency cloud cavitation shedding. It was found that when the cavitation number is increased, AE successfully detects the changes in this frequency, confirmed by comparing the results to video analysis and to simulations from literature. Additionally, the frequency increases when cavitation erosion progresses, thus providing means to track the erosion stage. It is concluded that the presented method is suitable for both detecting the transition from cloud to sheet cavitation and the erosion evolution in the experimental cavitation tunnel. The method could probably be extended to non-intrusive hydraulic machine monitoring, as this type of cloud cavitation is common in hydrofoils.",
keywords = "Acoustic emission, Cavitation erosion, Cloud cavitation, Shedding frequency",
author = "Markku Yl{\"o}nen and Franc, {Jean Pierre} and Juha Miettinen and Pentti Saarenrinne and Marc Fivel",
year = "2019",
month = "9",
day = "1",
doi = "10.1016/j.ijmultiphaseflow.2019.06.009",
language = "English",
volume = "118",
pages = "141--149",
journal = "International Journal of Multiphase Flow",
issn = "0301-9322",
publisher = "Elsevier",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Shedding frequency in cavitation erosion evolution tracking

AU - Ylönen, Markku

AU - Franc, Jean Pierre

AU - Miettinen, Juha

AU - Saarenrinne, Pentti

AU - Fivel, Marc

PY - 2019/9/1

Y1 - 2019/9/1

N2 - Cavitation erosion is a concern for most hydraulic machinery. An especially damaging type of cavitation is cloud cavitation. This type of cavitation is characterized by a growth-collapse cycle in which a group of vapor bubbles first grows together in a low-pressure region and then collapses almost simultaneously when the pressure recovers. Measuring the frequency of these collapse events is possible by acoustic emission (AE), as demonstrated in this study, in which a cavitation tunnel is utilized to create cloud cavitation in the vicinity of a sample surface. These samples were equipped with AE sensors, and the initially high frequency AE signal was demodulated to detect the relatively low frequency cloud cavitation shedding. It was found that when the cavitation number is increased, AE successfully detects the changes in this frequency, confirmed by comparing the results to video analysis and to simulations from literature. Additionally, the frequency increases when cavitation erosion progresses, thus providing means to track the erosion stage. It is concluded that the presented method is suitable for both detecting the transition from cloud to sheet cavitation and the erosion evolution in the experimental cavitation tunnel. The method could probably be extended to non-intrusive hydraulic machine monitoring, as this type of cloud cavitation is common in hydrofoils.

AB - Cavitation erosion is a concern for most hydraulic machinery. An especially damaging type of cavitation is cloud cavitation. This type of cavitation is characterized by a growth-collapse cycle in which a group of vapor bubbles first grows together in a low-pressure region and then collapses almost simultaneously when the pressure recovers. Measuring the frequency of these collapse events is possible by acoustic emission (AE), as demonstrated in this study, in which a cavitation tunnel is utilized to create cloud cavitation in the vicinity of a sample surface. These samples were equipped with AE sensors, and the initially high frequency AE signal was demodulated to detect the relatively low frequency cloud cavitation shedding. It was found that when the cavitation number is increased, AE successfully detects the changes in this frequency, confirmed by comparing the results to video analysis and to simulations from literature. Additionally, the frequency increases when cavitation erosion progresses, thus providing means to track the erosion stage. It is concluded that the presented method is suitable for both detecting the transition from cloud to sheet cavitation and the erosion evolution in the experimental cavitation tunnel. The method could probably be extended to non-intrusive hydraulic machine monitoring, as this type of cloud cavitation is common in hydrofoils.

KW - Acoustic emission

KW - Cavitation erosion

KW - Cloud cavitation

KW - Shedding frequency

U2 - 10.1016/j.ijmultiphaseflow.2019.06.009

DO - 10.1016/j.ijmultiphaseflow.2019.06.009

M3 - Article

VL - 118

SP - 141

EP - 149

JO - International Journal of Multiphase Flow

JF - International Journal of Multiphase Flow

SN - 0301-9322

ER -