Jets in bubbles

Pearson, A.; Blake, J. R.; Otto, Steve R.

doi:10.1023/b:engi.0000018172.53498.a2

Cited by 103 publications

(56 citation statements)

References 18 publications

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“…Pearson et al (2004) show that it still yields qualitatively good results down to c = 0.8. For smaller distances to the wall, the calculations suffer from strong instabilities.…”

Section: Bubble In Front Of a Wallmentioning

confidence: 84%

Particle tracking velocimetry of the flow field around a collapsing cavitation bubble

et al. 2009

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The velocity field in the vicinity of a lasergenerated cavitation bubble in water is investigated by means of particle tracking velocimetry (PTV). Two situations are explored: a bubble collapsing spherically and a bubble collapsing aspherically near a rigid wall. In the first case, the accuracy of the PTV method is assessed by comparing the experimental data with the flow field around the bubble as obtained from numerical simulations of the radial bubble dynamics. The numerical results are matched to the experimental radius-time curve extracted from highspeed photographs by tuning the model parameters. Trajectories of tracer particles are calculated and used to model the experimental process of the PTV measurement. For the second case of a bubble collapsing near a rigid wall, both the bubble shape and the velocity distribution in the fluid around the bubble are measured for different standoff parameters c at several instants in time. The results for c [ 1 are compared with the corresponding results of a boundary-integral simulation. For both cases, good agreement between simulation and experiment is found.

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“…Pearson et al (2004) show that it still yields qualitatively good results down to c = 0.8. For smaller distances to the wall, the calculations suffer from strong instabilities.…”

Section: Bubble In Front Of a Wallmentioning

confidence: 84%

Particle tracking velocimetry of the flow field around a collapsing cavitation bubble

et al. 2009

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“…Solutions with finite-volume solvers are not potentially as fast as with boundary-element methods, 16 but the inclusion of viscosity seems to preclude boundary-only discretizations since Green's functions are only available in the inviscid and strictly viscous limits. Boundary integrals would also be inconsistent with our current simulations in which we wish to track the fluid jet even after the bubble has collapsed to very small ͑negligible in our model͒ size.…”

Section: Numerical Solvermentioning

confidence: 99%

“…Thermal injury is not expected in lithotripsy. 14 Simulations of collapsing bubbles typically neglect viscosity, 12,[15][16][17][18][19][20][21] which is indeed justified based on the Reynolds numbers of the jets expected under typical conditions, 20 though for very small bubbles viscous effects have been identified for non-shock-induced ͑so-called Rayleigh͒ collapse near a wall. 22 The re-entrant jets for lithotripter shocks appear to have speeds of around 1000 m / s, 12 so for a 1 mm diameter bubble in water the jet Reynolds number is about 10 6 .…”

Section: Introductionmentioning

confidence: 99%

Shock-induced bubble jetting into a viscous fluid with application to tissue injury in shock-wave lithotripsy

Freund

Shukla

Evan

2009

The Journal of the Acoustical Society of America

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Shock waves in liquids are known to cause spherical gas bubbles to rapidly collapse and form strong re-entrant jets in the direction of the propagating shock. The interaction of these jets with an adjacent viscous liquid is investigated using finite-volume simulation methods. This configuration serves as a model for tissue injury during shock-wave lithotripsy, a medical procedure to remove kidney stones. In this case, the viscous fluid provides a crude model for the tissue. It is found that for viscosities comparable to what might be expected in tissue, the jet that forms upon collapse of a small bubble fails to penetrate deeply into the viscous fluid "tissue." A simple model reproduces the penetration distance versus viscosity observed in the simulations and leads to a phenomenological model for the spreading of injury with multiple shocks. For a reasonable selection of a single efficiency parameter, this model is able to reproduce in vivo observations of an apparent 1000-shock threshold before wide-spread tissue injury occurs in targeted kidneys and the approximate extent of this injury after a typical clinical dose of 2000 shock waves.

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“…In the limit, however, when one of the forces dominates, only one axial jet is formed and the bubble migrates in the direction of the dominant force. Later in the collapse phase the axial jet penetrates the opposite bubble wall and the bubble takes a toroidal shape (see, for example, Brujan et al, 2002, Pearson et al, 2004.…”

Section: Kelvin Impulse Bubble Migration and Jet Formationmentioning

confidence: 99%

“…Well established boundary integral techniques (e.g. Best and Kucera, 1992;Pearson et al, 2004) accurately model the highly non-linear and non-spherical bubble behaviour extremely accurately. Pressures are typically large so that surface tension effects may be neglected.…”

Section: Introductionmentioning

confidence: 99%

Pulsating, buoyant bubbles close to a rigid boundary and near the null final Kelvin impulse state

Brujan

Pearson

Blake

2005

International Journal of Multiphase Flow

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Jets in bubbles

Cited by 103 publications

References 18 publications

Particle tracking velocimetry of the flow field around a collapsing cavitation bubble

Particle tracking velocimetry of the flow field around a collapsing cavitation bubble

Shock-induced bubble jetting into a viscous fluid with application to tissue injury in shock-wave lithotripsy

Pulsating, buoyant bubbles close to a rigid boundary and near the null final Kelvin impulse state

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