2019
DOI: 10.1038/s41598-019-40665-9
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Modelling viscous boundary layer dissipation effects in liquid surrounding individual solid nano and micro-particles in an ultrasonic field

Abstract: Upon application of ultrasonic waves to a suspension of solid particles in liquid, multiple scattering occurs at the particle/liquid interfaces leading to attenuation. It was recently shown through experimental verification that multiple scattering theory must include shear wave influences at the boundary between the liquid and solid particles in a nanofluid when the concentration of the scatterers is even as low as a few percent by volume. Herein, we consider silica spheres of 50–450 nm diameter in the long-w… Show more

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Cited by 4 publications
(2 citation statements)
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“…An investigation of the stability of microbubbles is undertaken that shows that longer bubble lifetimes occur by forming clusters in a low viscosity colloidal dispersion of silver nanoparticles in water. Clustering of particles has been shown to have a strong influence on the ultrasonic attenuation [12,16,14]. In a more viscous continuous phase, such as castor oil, streams of micro/nano bubbles are then seen to remain stable even in relative isolation.…”
Section: Supplementary Informationmentioning
confidence: 99%
“…An investigation of the stability of microbubbles is undertaken that shows that longer bubble lifetimes occur by forming clusters in a low viscosity colloidal dispersion of silver nanoparticles in water. Clustering of particles has been shown to have a strong influence on the ultrasonic attenuation [12,16,14]. In a more viscous continuous phase, such as castor oil, streams of micro/nano bubbles are then seen to remain stable even in relative isolation.…”
Section: Supplementary Informationmentioning
confidence: 99%
“…In heterogeneous systems, interpretation of acoustic spectra is more complex and remains an open question. In controlled suspensions, measured attenuations [17][18][19] can be described by rigorous yet sophisticated models [20][21][22][23][24][25][26] or by more empirical approaches [27,28] but such modeling is still out of reach for more complex industrial systems. For instance, some studies were devoted to sound attenuation in biomedical [29][30][31], pharmaceutical [32,33] or food samples [34][35][36][37], but they remain mostly qualitative and do not attempt to model acoustic signals.…”
Section: Introductionmentioning
confidence: 99%