Impact load measurements with a PVDF pressure sensor in an erosive cavitating flow

Hujer, Jan; Carrat, Jean-Bastien; Müller, Miloš; Riondet, Michel

doi:10.1088/1742-6596/656/1/012051

Cited by 6 publications

(12 citation statements)

References 5 publications

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“…It could be envisioned that cavitation intensity would be defined from the resulting pit diameters, but this is out of the scope of the current study. The obtained cumulative distributions for the AE signal for the two flow conditions were similar to those published by Franc et al (2011) for pressure sensors and to those by Hujer et al (2015) for PVDF sensors. This indicates that AE captures the correct events.…”

Section: Discussionsupporting

confidence: 84%

“…When this assumption is valid, the Y-axis intersection of the distributions both for the pit diameter and for the AE peak rate represents the total amount of events. The results of Franc et al (2011) and Hujer et al (2015) also support the idea of a continuity of the exponential behavior. Fig.…”

Section: Pitting Estimation From Acoustic Emissionsupporting

confidence: 71%

“…Other methods to distinguish individual events include conventional pressure sensors (Franc et al 2011) and polyvinylidene fluoride (PVDF) sensors that are thin piezoelectric pressure sensors (Hujer et al 2015;Momma and Lichtarowicz 1995;Wang and Chen 2007;Carrat et al 2017;Arndt et al 1997). Notably, the measurements by Hujer et al (2015) and Franc et al (2011), which were carried out in the same tunnel, provided exponential cumulative distributions similar to the results extracted from AE signals of this study. Their results were used for qualitative comparison.…”

Section: Introductionsupporting

confidence: 54%

“…9(c). For comparison, similar plots based on measurements by Franc et al (2011) and by Hujer et al (2015) are also presented in Figs. 9(a and b) respectively.…”

Section: Acoustic Emission Amplitude Peak Value Distributionmentioning

confidence: 99%

“…9(a and b) respectively. Franc et al (2011) and Hujer et al (2015) calculated the impact loads by dropping steel balls on their sensors from different heights, thus obtaining calibration curves for the relation between impact load and peak voltage. This kind of absolute calibration of the AE sensor is not as straightforward as for pressure sensors.…”

Section: Acoustic Emission Amplitude Peak Value Distributionmentioning

confidence: 99%

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Estimation of Cavitation Pit Distributions by Acoustic Emission

et al. 2020

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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.

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Section: Discussionsupporting

confidence: 84%

Section: Pitting Estimation From Acoustic Emissionsupporting

confidence: 71%

Section: Introductionsupporting

confidence: 54%

“…9(c). For comparison, similar plots based on measurements by Franc et al (2011) and by Hujer et al (2015) are also presented in Figs. 9(a and b) respectively.…”

Section: Acoustic Emission Amplitude Peak Value Distributionmentioning

confidence: 99%

Section: Acoustic Emission Amplitude Peak Value Distributionmentioning

confidence: 99%

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Estimation of Cavitation Pit Distributions by Acoustic Emission

et al. 2020

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Photolithographically Home-Made PVDF Sensor for Cavitation Impact Load Measurement

et al. 2020

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Piezoelectric PVDF sensors offer a unique option for the measurement of cavitation aggressiveness represented by the magnitude of impacts due to cavitation bubble collapses near walls. The aggressiveness measurement requires specific sensors shape and area, whereas commercial PVDF sensors are fabricated in limited geometry and size ranges. The photolithography method offers a possibility of production of home-made PVDF sensors of arbitrary shape and size. This paper deals with the calibration of a photolithographically home-made PVDF sensor for the cavitation impact load measurement. The calibration of sensors was carried out by the ball drop method. Sensors of different sizes were fabricated by the photolithography method from multi-purpose both side metallized PVDF sheet. The standard technology used for the fabrication of printed circuit boards was utilized. Commercial PVDF sensors of the same size were calibrated and the calibration results were compared with the home-made sensors. The effect of size and the effect of one added protective layer of Kapton tape on a sensor sensitivity were investigated.

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Investigation of a Temperature Field of the Steel Billet 150x150 mm Continuously Cast

et al. 2020

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The solidification and cooling of a continuously cast billet and the simultaneous heating of the mold is a very complicated problem of three-dimensional (3D) transient heat and mass transfer. The solving of uch a problem is impossible without numerical models of the temperature field of the concasting itself which it is being processed through the concasting machine (caster). The application of the numerical model requires systematic experimentation and measurement of operational parameters on a real caster as well as in the laboratory. The measurement results, especially temperatures, serve not only for the verification of the exactness of the model, but mainly for optimization of the process procedure. The most important part of the investigation is the measurement of the temperatures in the walls of the mold and the surface of the slab in the zones of secondary and tertiary cooling.

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Impact load measurements with a PVDF pressure sensor in an erosive cavitating flow

Cited by 6 publications

References 5 publications

Estimation of Cavitation Pit Distributions by Acoustic Emission

Estimation of Cavitation Pit Distributions by Acoustic Emission

Photolithographically Home-Made PVDF Sensor for Cavitation Impact Load Measurement

Investigation of a Temperature Field of the Steel Billet 150x150 mm Continuously Cast

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