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Estimation of Cavitation Pit Distributions by Acoustic Emission

Tutkimustuotosvertaisarvioitu

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Estimation of Cavitation Pit Distributions by Acoustic Emission. / Ylönen, Markku; Saarenrinne, Pentti; Miettinen, Juha; Franc, Jean-Pierre; Fivel, Marc; Laakso, Jarmo.

julkaisussa: JOURNAL OF HYDRAULIC ENGINEERING: ASCE, Vuosikerta 146, Nro 2, 04019064, 2019.

Tutkimustuotosvertaisarvioitu

Harvard

Ylönen, M, Saarenrinne, P, Miettinen, J, Franc, J-P, Fivel, M & Laakso, J 2019, 'Estimation of Cavitation Pit Distributions by Acoustic Emission', JOURNAL OF HYDRAULIC ENGINEERING: ASCE, Vuosikerta. 146, Nro 2, 04019064. https://doi.org/10.1061/(ASCE)HY.1943-7900.0001686

APA

Ylönen, M., Saarenrinne, P., Miettinen, J., Franc, J-P., Fivel, M., & Laakso, J. (2019). Estimation of Cavitation Pit Distributions by Acoustic Emission. JOURNAL OF HYDRAULIC ENGINEERING: ASCE, 146(2), [04019064]. https://doi.org/10.1061/(ASCE)HY.1943-7900.0001686

Vancouver

Ylönen M, Saarenrinne P, Miettinen J, Franc J-P, Fivel M, Laakso J. Estimation of Cavitation Pit Distributions by Acoustic Emission. JOURNAL OF HYDRAULIC ENGINEERING: ASCE. 2019;146(2). 04019064. https://doi.org/10.1061/(ASCE)HY.1943-7900.0001686

Author

Ylönen, Markku ; Saarenrinne, Pentti ; Miettinen, Juha ; Franc, Jean-Pierre ; Fivel, Marc ; Laakso, Jarmo. / Estimation of Cavitation Pit Distributions by Acoustic Emission. Julkaisussa: JOURNAL OF HYDRAULIC ENGINEERING: ASCE. 2019 ; Vuosikerta 146, Nro 2.

Bibtex - Lataa

@article{53db930d38a8462a9ad5084b07124df4,
title = "Estimation of Cavitation Pit Distributions by Acoustic Emission",
abstract = "Cavitation erosion in hydraulic machinery, such as in turbines and pumps, often leads to significant reduction of the service life of the affected components, with serious consequences for their maintenance costs and operation efficiency. In this study, the potential contribution of acoustic emission (AE) measurements to the assessment of cavitation damage is evaluated from experiments in a cavitation tunnel. Stainless steel samples were exposed to cavitation and damage was characterized from pitting tests carried out on mirror-polished samples. The pits were measured using an optical profilometer and cavitation damage was characterized by pit diameter distribution. In parallel, AE time signal was measured directly from behind the samples. A dedicated signal-processing technique was developed in order to identify each burst in the AE signal and determine its amplitude. The AE amplitude distribution compares well with PVDF and pressure sensor measurements from literature. It is concluded that AE signal analysis can be used to monitor the formation of pits without visual examination of the damaged surface. This provides a basis for possible future applications of nonintrusive cavitation erosion monitoring in hydraulic machines, provided the findings remain true in a more complex environment.",
author = "Markku Yl{\"o}nen and Pentti Saarenrinne and Juha Miettinen and Jean-Pierre Franc and Marc Fivel and Jarmo Laakso",
year = "2019",
doi = "10.1061/(ASCE)HY.1943-7900.0001686",
language = "English",
volume = "146",
journal = "JOURNAL OF HYDRAULIC ENGINEERING: ASCE",
issn = "0733-9429",
publisher = "American Society of Civil Engineers (ASCE)",
number = "2",

}

RIS (suitable for import to EndNote) - Lataa

TY - JOUR

T1 - Estimation of Cavitation Pit Distributions by Acoustic Emission

AU - Ylönen, Markku

AU - Saarenrinne, Pentti

AU - Miettinen, Juha

AU - Franc, Jean-Pierre

AU - Fivel, Marc

AU - Laakso, Jarmo

PY - 2019

Y1 - 2019

N2 - Cavitation erosion in hydraulic machinery, such as in turbines and pumps, often leads to significant reduction of the service life of the affected components, with serious consequences for their maintenance costs and operation efficiency. In this study, the potential contribution of acoustic emission (AE) measurements to the assessment of cavitation damage is evaluated from experiments in a cavitation tunnel. Stainless steel samples were exposed to cavitation and damage was characterized from pitting tests carried out on mirror-polished samples. The pits were measured using an optical profilometer and cavitation damage was characterized by pit diameter distribution. In parallel, AE time signal was measured directly from behind the samples. A dedicated signal-processing technique was developed in order to identify each burst in the AE signal and determine its amplitude. The AE amplitude distribution compares well with PVDF and pressure sensor measurements from literature. It is concluded that AE signal analysis can be used to monitor the formation of pits without visual examination of the damaged surface. This provides a basis for possible future applications of nonintrusive cavitation erosion monitoring in hydraulic machines, provided the findings remain true in a more complex environment.

AB - Cavitation erosion in hydraulic machinery, such as in turbines and pumps, often leads to significant reduction of the service life of the affected components, with serious consequences for their maintenance costs and operation efficiency. In this study, the potential contribution of acoustic emission (AE) measurements to the assessment of cavitation damage is evaluated from experiments in a cavitation tunnel. Stainless steel samples were exposed to cavitation and damage was characterized from pitting tests carried out on mirror-polished samples. The pits were measured using an optical profilometer and cavitation damage was characterized by pit diameter distribution. In parallel, AE time signal was measured directly from behind the samples. A dedicated signal-processing technique was developed in order to identify each burst in the AE signal and determine its amplitude. The AE amplitude distribution compares well with PVDF and pressure sensor measurements from literature. It is concluded that AE signal analysis can be used to monitor the formation of pits without visual examination of the damaged surface. This provides a basis for possible future applications of nonintrusive cavitation erosion monitoring in hydraulic machines, provided the findings remain true in a more complex environment.

U2 - 10.1061/(ASCE)HY.1943-7900.0001686

DO - 10.1061/(ASCE)HY.1943-7900.0001686

M3 - Article

VL - 146

JO - JOURNAL OF HYDRAULIC ENGINEERING: ASCE

JF - JOURNAL OF HYDRAULIC ENGINEERING: ASCE

SN - 0733-9429

IS - 2

M1 - 04019064

ER -