Nucleation and growth dynamics of vapour bubbles

Gallo, Mirko; Magaletti, Francesco; Cocco, Davide; Casciola, Carlo Massimo

doi:10.1017/jfm.2019.844

Cited by 53 publications

(48 citation statements)

References 58 publications

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“…Expression (45) agrees qualitatively with the estimate of the interfacial thickness obtained in Refs. [24,25]: if adapted for the Enskog-Vlasov EoS and T = 0, the latter yields a result which is π times smaller than (45). Substituting estimates (41) for K and (A1) for a into expression (45), one obtains…”

Section: Discussion: the Width Of A Liquid-vapor Interfacementioning

confidence: 91%

Dependence of the surface tension and contact angle on the temperature, as described by the diffuse-interface model

Benilov

2020

Phys. Rev. E

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Four results associated with the diffuse-interface model (DIM) for contact lines are reported in this paper. First, a boundary condition is derived, which states that the fluid near a solid wall must have a certain density ρ0 depending on the solid's properties. Unlike previous derivations, the one presented here is based on the same physics as the DIM itself and does not require additional assumptions. Second, asymptotic estimates are used to check a conjecture lying at the foundation of the DIM, as well as all other models of contact lines: that liquid-vapor interfaces are nearly isothermal. It turns out that, for water, they are not -although, for a more viscous fluid, they can be. The non-isothermaility occurs locally, near the interface, but can still affect the contactline dynamics. Third, the DIM coupled with a realistic equation of state for water is used to compute the dependence of the surface tension σ on the temperature T , which agrees well with the empiric σ(T ). Fourth, the same framework is used to compute the static contact angle of a watervapor interface. It is shown that, with increasing temperature, the contact angle becomes either 180 • (perfect hydrophobicity) or 0 • (perfect hydrophilicity), depending on whether ρ0 matches the density of saturated vapor or liquid, respectively. Such behavior presumably occurs in all fluids, not just water, and for all sufficiently strong variations of parameters, not just that of the temperature -as corroborated by existing observations of drops under variable electric field.

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Section: Discussion: the Width Of A Liquid-vapor Interfacementioning

confidence: 91%

Dependence of the surface tension and contact angle on the temperature, as described by the diffuse-interface model

Benilov

2020

Phys. Rev. E

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“…Section 2 describes the details of this method. In Section 3, we validate our model with the analytical solution provided by Felderhof [29,30] and bubble growth rate from Lee and Merte [10,17], where good agreements were obtained. Section 4 shows our numerical results and discussion.…”

Section: Introductionmentioning

confidence: 75%

“…The average fluid density agrees well with Equation 14in Figure 2. Gallo et al investigated the nucleation of vapor bubbles in stretched or overheated liquids and found a similar phenomenon of bubble oscillation [29]. According to the curve slope of the bubble radius with time, three control mechanisms could be observed during bubble growth, categorized into the (a) inertia-controlled stage, (b) transition stage, and (c) thermally controlled stage.…”

Section: Validationmentioning

confidence: 96%

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Growth and Collapse Dynamics of a Vapor Bubble near or at a Wall

Wang

Zhang

Xiong

2020

Water

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This study investigated the dynamics of vapor bubble growth and collapse for a laser-induced bubble. The smoothed particle hydrodynamics (SPH) method was utilized, considering the liquid and vapor phases as the van der Waals (VDW) fluid and the solid wall as a boundary. We compared our numerical results with analytical solutions of bubble density distribution and radius curve slope near a wall and the experimental bubble shape at a wall, which all obtained a fairly good agreement. After validation, nine cases with varying heating distances (L2 to L4) or liquid heights (h2 to h10) were simulated to reproduce bubbles near or at a wall. Average bubble radius, density, vapor mass, velocity, pressure, and temperature during growth and collapse were tracked. A new recognition method based on bubble density was recommended to distinguish the three substages of bubble growth: (a) inertia-controlled, (b) transition, and (c) thermally controlled. A new precollapse substage (Stage (d)) was revealed between the three growth stages and collapse stage (Stage (e)). These five stages were explained from the out-sync between the bubble radius change rate and vapor mass change rate. Further discussions focused on the occurrence of secondary bubbles, shockwave impact on the wall, system entropy change, and energy conversion. The main differences between bubbles near and at the wall were finally concluded.

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“…A detailed derivation of the model and related boundary conditions is presented, and results of numerical simulations are produced to demonstrate the potential of the proposed approach. In doing so, some of the material discussed by the authors in previous papers -in particular, the diffuse interface model for non-isothermal fluids with a general equation of state (Magaletti et al 2015(Magaletti et al , 2016 and fluctuating hydrodynamics for homogeneous nucleation (Gallo et al 2017(Gallo et al , 2018(Gallo et al , 2020 -is reviewed to present a comprehensive description of the model. The paper is structured as follows.…”

Section: Introductionmentioning

confidence: 99%