Statistical description of the bubble cloud resulting from the injection of air into a turbulent water jet

Martı́nez-Bazán, C.; Montañés, J. L.; Lasheras, Juan C.

doi:10.1016/s0301-9322(01)00078-7

Cited by 20 publications

(3 citation statements)

References 15 publications

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“…The size of the nuclei has been sampled from a probability density function. When the pressure of blood fallen below its vapor pressure, the volume under tension was identified and the most probable locations for bubble nuclei formation were randomly calculated by sampling from a distribution function which considers the bubble volume fraction, volume and the non-dimensional tension of each Eulerian cell [19].…”

Section: Computational Modelsmentioning

confidence: 99%

Coronary artery cavitation as a trigger for atherosclerotic plaque progression: a simplified numerical and computational fluid dynamic demonstration

Rigatelli¹,

Zuin²,

Bilato³

et al. 2022

Rev. Cardiovasc. Med.

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Backgrounds: Coronary cavitation is supposed to be generated by both concentric and eccentric coronary artery stenosis which propagates downstream the vessel, creating microbubbles which exploded when the fluid pressure was lower than the vapor pressure at a local thermodynamic state. Objective: To assess, using numerical and computational fluid dynamic analysis (CFD), the potential of cavitation to both induce damage to coronary artery endothelium and to promote atherosclerotic plaque progression. Methods: We retrospectively reviewed the data 12 consecutive patients evaluated between 1st January 2013 and 1st January 2014 with an isolated hemodynamically significant Left Main (LM) disease. The patient specific geometries have been reconstructed. Bubble velocity has been calculated in accordance with Newton's second law. Both the forces arising from the bubbles' interaction with the continuous phase and impact with the endothelium have been evaluated. The impact of turbulence on the motion of bubbles have been modelled with a dispersion model. Results: Among the 12 patients retrospectively analysed [8 males, mean age 68.2 ± 12.8 years old], the mean LM stenosis was 72.3 ± 3.6%. As expected, in all subjects, LM stenoses induced cavitation which propagates downstream the vessel creating microbubbles. The higher concentration of vapor region was detected before the carina (within 0.8 to 1.3 cm from the stenosis). Due to the pressure gradient generated by the stenosis, formation of a re-entry jet which penetrates each bubble generated a shock wave. Before the carina, the mean bubbles radius observed was 4.2 ± 1.4 µm, which generated a mean peak pressure of 3.9 ± 0.5 MPa when they explode. Conclusion:The cavitation phenomenon is effectively generated in a model of LM bifurcation and instantaneous pressure-peaks due to collapses of vapor bubbles resulted in a measurable dynamic load on vessel wall potentially able to induce endothelial damage.

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Section: Computational Modelsmentioning

confidence: 99%

Coronary artery cavitation as a trigger for atherosclerotic plaque progression: a simplified numerical and computational fluid dynamic demonstration

Rigatelli¹,

Zuin²,

Bilato³

et al. 2022

Rev. Cardiovasc. Med.

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“…Castello‐Branco and Schwerdtfeger performed a series of experiments in a 2‐m deep water tank where they established empirical correlations for the disintegration of an incoming gas jet. Martinez‐Bazán et al studied the resulting bubble size from injection of air into a water jet. Weiland and Pavlos studied round gas jets submerged in water and the jet penetration length.…”

Section: Governing Physicsmentioning

confidence: 99%

“…the bubble size produced by the source) can be significantly influenced by initial re‐coalescence for high void fraction sources of small bubbles, or subsequent breakage of large bubbles due to plume turbulence. There are several ways of estimating initial bubble size; one approach is given by Martinez‐Bazán et al…”

Section: Governing Physicsmentioning

confidence: 99%

Current understanding of subsea gas release: A review

Olsen

Skjetne

2015

Can J Chem Eng

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In this paper we review the current understanding of bubble plumes discharged from subsea sources related to oil and gas production, and show how CFD can be applied for risk assessments. A general introduction to causes and risks is given. This is followed by a discussion of the physics that need to be accounted for before giving a brief review of the different modelling approaches employed today. The empirical and experimental knowledge base is also summarized. An example of how CFD can be applied to study gas releases is given. At the end we outline what is needed to advance current understanding of such releases and model their interaction with the surroundings. The scope of the review is limited to the fate of the gas and the flow induced by the ascending bubble plume in the water column. Atmospheric dispersion of surfacing gas is not considered.

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Comparison of PIV Experiment and Numerical Simulation on the Velocity Distribution of Intermediate Pressure Jets with Different Nozzle Parameters

Jiang

Xiang

et al. 2017

Irrigation and Drainage

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The need for a reliable research method of the external flow field has increased with the more widespread use of intermediate pressure jets. The experimental method and numerical simulation method were investigated, using the particle image velocimetry (PIV) technique and the volume of fluid-level set (VOF-level set) method. Both methods performed well on nozzles with different geometric parameters at distances close to the nozzle and further away from it. With reference to the different measurement windows, the velocities in vertical profiles along the x-axis, the change of maximum jet velocities and the break-up length ranges of jet flows were obtained. The two methods authenticate each other, and the results indicate that the maximum velocities of jets decrease and the distribution widths of velocity field also increase with increase in distance away from the nozzles. The PIV and simulation gave similar results at different distances from the nozzle, and the experimental values were slightly higher than the simulation values due to the pressure fluctuation with an error of less than 8%. The break-up length of jets increases with pressures in situations where the experimental values were lower than the simulation values due to the effect of air. The experimental data from PIV agreed well with the simulation results. Therefore, the accuracy and reliability of the PIV experiment and the CFD (Computational Fluid Dynamics) result simulation were both validated.

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Statistical description of the bubble cloud resulting from the injection of air into a turbulent water jet

Cited by 20 publications

References 15 publications

Coronary artery cavitation as a trigger for atherosclerotic plaque progression: a simplified numerical and computational fluid dynamic demonstration

Coronary artery cavitation as a trigger for atherosclerotic plaque progression: a simplified numerical and computational fluid dynamic demonstration

Current understanding of subsea gas release: A review

Comparison of PIV Experiment and Numerical Simulation on the Velocity Distribution of Intermediate Pressure Jets with Different Nozzle Parameters

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