2019
DOI: 10.1016/j.ultras.2019.03.009
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Acoustical characterisation and monitoring of microbubble clouds

Abstract: Argon microbubbles will exist in the primary sodium of the next generation of sodium-cooled fast reactors (SFR). Due to its opacity, acoustic methods will be used for the in-service inspection in these reactors, but the presence of such bubbles will greatly affect ultrasonic wave propagation. Moreover, these bubbles can lead to the formation of gas pockets in the reactor and impact cavitation and boiling phenomena. It is therefore necessary to characterise what is called the 'microbubble cloud' by providing th… Show more

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Cited by 10 publications
(8 citation statements)
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“…Let us consider a log-normal distribution [27,56,57] of the number density of bubbles according to their ambient radii, with an expected value of 3 µm, fairly acceptable as the average equilibrium radius at 300 kHz frequency [29]. The following notation is then adopted.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Let us consider a log-normal distribution [27,56,57] of the number density of bubbles according to their ambient radii, with an expected value of 3 µm, fairly acceptable as the average equilibrium radius at 300 kHz frequency [29]. The following notation is then adopted.…”
Section: Methodsmentioning
confidence: 99%
“…On the other hand, literature counts several studies that attempted to characterize experimentally multibubble populations. For instance, D'Hondt et al [27] used spectroscopic techniques to characterize the microbubbles cloud by providing the gas volume fraction and the bubble size distribution. The authors suggested a procedure based on L-Surface analysis and applied to log-normal size distribution of bubbles in water.…”
Section: Introductionmentioning
confidence: 99%
“…In the context of assessing opaque materials, ultrasonic approaches emerge as particularly relevant. The detection of ultrasonic bubbles has been widely discussed in the scientific literature [16][17][18][19][20][21], catering to the needs of diverse industries. These methods are used particularly in high-speed fluidics (cavitation problems), in agronomy for pasta development [16] or emulsion control [17], as well as in the polymer industry (foams in the broadest sense).…”
Section: Introductionmentioning
confidence: 99%
“…Vanhille et al [22][23][24] numerically simulated the propagation of acoustic waves in bubbly liquids and analyzed their nonlinear characteristics. Cavaro et al [25,26] experimentally analyzed the acoustical characterization of microbubble clouds.…”
Section: Introductionmentioning
confidence: 99%