2022
DOI: 10.1016/j.ultsonch.2022.105985
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A single oscillating bubble in liquids with high Mach number

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Cited by 12 publications
(4 citation statements)
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“…They showed that above approximately the Mach number of 0.59, the predicted energy dissipation deviates from the Keller-Miksis predictions and thus the influence of the liquid compressibility should be fully considered for proper modeling. It is estimated that, at higher Mach numbers (>0.59-1 89,91,92 ), higher order liquid compressibility effects dampen further the bubble oscillations, thus the attenuation will be smaller than the value as predicted by the Keller-Miksis equation. When using the nonlinear model, for more accurate predictions, above Mach numbers between 0.59-1, radial oscillations should be calculated using the Glimore equation or models that include the higher order compressibility terms.…”
Section: Low Mach Numbers In Experimentsmentioning
confidence: 93%
See 1 more Smart Citation
“…They showed that above approximately the Mach number of 0.59, the predicted energy dissipation deviates from the Keller-Miksis predictions and thus the influence of the liquid compressibility should be fully considered for proper modeling. It is estimated that, at higher Mach numbers (>0.59-1 89,91,92 ), higher order liquid compressibility effects dampen further the bubble oscillations, thus the attenuation will be smaller than the value as predicted by the Keller-Miksis equation. When using the nonlinear model, for more accurate predictions, above Mach numbers between 0.59-1, radial oscillations should be calculated using the Glimore equation or models that include the higher order compressibility terms.…”
Section: Low Mach Numbers In Experimentsmentioning
confidence: 93%
“…When the bubble wall velocity exceeds that of the water sound speed, either corrections to the Keller-Miksis equation should be applied 91,92 or Glimore equation should be used as it has a higher validity range up to | Ṙ| c < 2.2 125 . Zheng et al 89 included the second-order compressibility terms in the simulation of the bubble oscillations. They showed that above approximately the Mach number of 0.59, the predicted energy dissipation deviates from the Keller-Miksis predictions and thus the influence of the liquid compressibility should be fully considered for proper modeling.…”
Section: Low Mach Numbers In Experimentsmentioning
confidence: 99%
“…Due to the Keller-Miksis equation only having compressibility terms accurate to first order, this model is only valid for Mach numbers . In this work, this should be adequate as the acoustic pressures barely exceed the Blake threshold, but if compressibility is important, the KME should be replaced by a model with higher order terms, for example [38] . Temporal integration is calculated using the Tsitouras 5/4 Runge-Kutta algorithm (Tsit5) provided by the DifferentialEquations.jl library [39] .…”
Section: Modelling Approachmentioning
confidence: 99%
“…Due to the Keller-Miksis equation only having compressibility terms accurate to first order, this model is only valid for Mach numbers Ṙ/c≪1. In this work, this should be adequate as the acoustic pressures barely exceed the Blake threshold, but if compressibility is important, the KME should be replaced by a model with higher order terms, for example [38]. Temporal integration is calculated using the Tsitouras 5/4 Runge-Kutta algorithm (Tsit5) provided by the Differ-entialEquations.jl library [39].…”
Section: ∇(mentioning
confidence: 99%