Next Article in Journal
Seven Different Lighting Conditions in Photogrammetric Studies of a 3D Urban Mock-Up
Next Article in Special Issue
Peak Power of Heat Source for Domestic Hot Water Preparation (DHW) for Residential Estate in Poland as a Representative Case Study for the Climate of Central Europe
Previous Article in Journal
Floating Offshore Vertical Axis Wind Turbines: Opportunities, Challenges and Way Forward
Previous Article in Special Issue
Feasibility Study and Economic Analysis of a Fuel-Cell-Based CHP System for a Comprehensive Sports Center with an Indoor Swimming Pool
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Application of Thermal and Cavitation Effects for Heat and Mass Transfer Process Intensification in Multicomponent Liquid Media

by
Anatoliy M. Pavlenko
* and
Hanna Koshlak
Department of Building Physics and Renewable Energy, Kielce University of Technology, 25-314 Kielce, Poland
*
Author to whom correspondence should be addressed.
Energies 2021, 14(23), 7996; https://doi.org/10.3390/en14237996
Submission received: 8 November 2021 / Revised: 22 November 2021 / Accepted: 24 November 2021 / Published: 30 November 2021
(This article belongs to the Special Issue Heat Transfer and Heat Recovery Systems)

Abstract

:
In this paper, the authors consider the processes of dynamic interaction between the boiling particles of the dispersed phase of the emulsion leading to the large droplet breakup. Differences in the consideration of forces that determine the breaking of non-boiling and boiling droplets have been indicated in the study. They have been determined by the possibility of using the model to define the processes of displacement, deformation, or fragmentation of the inclusion of the dispersed phase under the influence of a set of neighboring particles. The dynamics of bubbles in a compressible liquid with consideration for interfacial heat and mass transfer has also been analyzed in the paper. The effect of standard and system parameters on the intensity of cavitation processes is considered. Physical transformations during the cavitation treatment of liquid are caused not only by shock waves and radiated pressure pulses but also by extreme thermal effects. At the stage of ultimate bubble compression, vapor inside the bubble and the liquid in its vicinity transform into the supercritical fluid state. The model analyzes microflow features in the inter-bubble space and quantitatively calculates local values of the velocity and pressure fields, as well as dynamic effects.

1. Introduction

Cavitation phenomena have been studied by many authors [1,2,3,4,5,6] and can be used to intensify heat and mass transfer processes [7,8,9]. In order to develop an effective method of a controlled cavitation effect on technological processes, one should have a clear understanding of the physical nature of cavitation mechanisms and their relevant description in spatial and temporal scales.
For years, cavitation has been considered one of the areas of hydrodynamics associated with the elucidation and elimination of negative causes of erosion destruction of the surfaces of propellers, hydraulic turbine blades, and hydraulic devices [10,11,12]. It was determined that surfaces are eroded under the action of shock waves and cumulative jets formed by the micro-explosions of bubbles, considered as hollow caverns in hydrodynamics [13,14,15]. Within these mechanisms alone it is difficult to explain the destruction of molecular and colloidal structures and other cavitation effects at the microlevel in the liquid itself. When cavitation is analyzed within hydrodynamics, the impact of thermal factors on the development and specific manifestation of cavitation effects is excluded. To a certain extent, such an approach has been valid to date, although it has been determined that at the maximum compression stage, the vapor–gas medium temperature inside the cavitation bubble exceeds 5000 K, and the pressure increases up to 1000 MPa [16,17,18]. It is assumed that the thermal energy released in the bubble volume is sufficient for the excitation, ionization, and dissociation of water vapor molecules and gases present in the bubble, the formation of free radicals, acceleration by 5–6 orders of magnitude of the rates of gas-phase chemical reactions [19,20,21], and even initiation of nuclear fusion reactions in cavitation bubbles [22,23]. That is, under certain conditions, various physical or chemical processes can be initiated in local zones of the liquid while concentrating energy to abnormally high values. The following problem is still to be solved: What conditions are required for the appearance of such effects? At the same time, high-temperature processes in the gas phase (in the cavitation region) do not explain the cavitation effect on disperse inclusions present in the liquid phase (droplets of another liquid in emulsions, particles in suspensions, etc.), assuming the existence of alternative mechanisms.
Reliable theoretical analysis of cavitation mechanisms is hindered, in the authors’ opinion, by the lack of generalizing mathematical models with maximum consideration of the main physical factors. Modeling is usually performed with respect to the analysis of a specific experiment without considering the interfacial heat exchange and kinetics of phase transitions; the bubble compression process is assumed to be adiabatic [2,24,25]. The principles of a mathematical model for the dynamics of bubble formation and development in emulsions based on the laws of cavitation described above, with the effect of thermodynamic processes in the cavitation region, are considered in [26,27]. The model validation in the analysis of experimental results defines this approach as having potential.
The purpose of this study is to investigate the mechanisms of the cavitation effect on water emulsions (Figure 1) containing micro-dispersions, molecular and colloidal structures relevant to improving the design of cavitating devices, and substantiating their optimal operating modes.
Figure 1 shows one example of how thermal cavitation treatment can be applied to homogenization technologies for liquid fuels.
The tasks aimed at the efficiency increase of heat and mass transfer processes are very important for almost all heat technologies. One of the most efficient methods used to increase the intensification of heat and mass transfer processes is the use of emulsions as operating media [28,29,30,31,32], containing various mutually insoluble liquids with certain thermophysical characteristics. An increase in the emulsion temperature is accompanied by their structure change, the breakage of dispersed fluid droplets, or their merging. When thermolabile liquid boils, heat and mass transfer processes are intensified in the emulsion due to the abnormally rapid change in the vapor phase volume and turbulence transition of the medium flow; it undoubtedly increases the efficiency of these processes. The phenomena similar to those described above (cavitation) occur in the vapor layer of the boiling thermolabile part. They have been studied by many researchers [33,34,35], but these phenomena require further consideration in terms of heat and mass transfer efficiency. Moreover, the processes which induce abnormal values of pressures and temperatures in the case of thermodynamic cavitation and their application represent a separate important problem. One of the possible issues to be solved using such thermal cavitation initiation is homogenization technology.
It is worth mentioning that there is no general approach to the management of cavitation processes to obtain the expected disperse structure. Our proposed thermal cavitation method may be used to evaluate such effects. Its main ideas are described below.

2. Assessment of Dynamic and Thermal Cavitation Effects

Despite different and often contradictory definitions of cavitation, we will adhere to the following general formulation. Cavitation is a set of phenomena in a liquid when the pressure pe drops below the saturation pressure at temperature ps (T), and then it rises sharply above this level. If pe < ps (T), it is possible to observe the formation and growth of vapor bubbles both during hydrodynamic cavitation and thermal cavitation, when the pressure in a liquid, preliminarily superheated under excess pressure, is sharply reduced. Then, vapor bubbles appear at the interface of the dispersed inclusions of the emulsion. At pe > ps (T) they get compressed and subsequently destroyed (explosion). In both cases, a nonequilibrium process of the bubble system proceeds to the state of thermodynamic equilibrium, making it possible to describe bubble boiling and cavitation within the framework of one model, using the same Equations but under different initial conditions.
This concept forms the basis of the mathematical model of bubble dynamics, presented in [26,27].
The entire period of the cavitation effect development is accompanied by the growth and subsequent destruction of bubbles. A pulsating cavitation cluster inevitably appears in hydraulic turbines, pumps, and in various devices where the above conditions of pressure drop are realized [36].
Let us consider the process of vapor bubble compression in water under condition pe > ps (T). At the beginning of compression, the vapor pressure inside the bubble is pintps (T) and the pressure in a liquid at the bubble wall is pi = pint (T)/Rµ(T)∙v/R, where R is the bubble radius, ν is the liquid radial rate at the bubble interface, and σ(T) and µ(T) are surface tension and viscosity coefficients. As a result of the pressure difference pepi, the liquid moves rapidly towards the bubble center, resulting in a sharp increase in vapor pressure and temperature in the collapsing bubble. The compression rate is regulated by interfacial heat transfer and vapor condensation on the “cold” bubble wall with condensation heat release. When vapor pressure pint, compressed in the bubble, exceeds external pressure pe, the liquid begins to decelerate, and its kinetic energy is converted into the potential energy of the compressed vapor and into the potential energy of the compressed liquid around the bubble. When kinetic energy is completely transformed, the bubble compression stops while pressure in the liquid at its boundary reaches its maximum value. The hydraulic hammer effect is realized, a compression wave propagates from the bubble into the liquid volume at the velocity of sound and its amplitude decreases with distance. Normally, when cavitation processes are modeled, the liquid is considered incompressible, while the hydraulic hammer phenomenon is not considered. To analyze the degree of the hydraulic hammer effect, the model [27] was modified taking into account liquid compressibility. The liquid compressibility coefficient kβ = f (T, p) and the temperature coefficient of adiabatic compression α (T, p) = ∂T/∂p are introduced into the model as new parameters. Taking into account the compressibility, the motion Equation, included in the model’s basic system of Equations, is presented in the following form:
d v d τ = p i n t p e x t + 1.5 ( p i n t p e x t ) 2 k β 1.5 ρ v 2 ρ R
where ρ(T) is the liquid density. The derived Equation (1) differs from the classical Rayleigh–Plesset Equation usually used to describe cavitation processes in an incompressible liquid, by the term 1.5 ( p i n t p e ) 2 k β in the numerator, considering the potential energy contribution of a compressed liquid, which is then realized in a force impulse form.
After the transition of the vapor parameters in the compressed bubble to the supercritical region, (Tsteam > Tcritical and psteam > pcritical), the liquid–vapor interface disappears (σ (Tcritical) = 0) and a quasi-spherical local zone is formed in place of a bubble with Rmin radius within which water passes from a supercritical state to a condensed one. Similar effects are observed when the above is exposed to high pressures, even if the water temperature is below critical [37]. We can assert that the thermal cavitation effect is not limited by the volume of a bubble with Rmin radius where, as it is believed, only the ionization of vapor and gas molecules takes place, though covering a wider area.
When cavitation conditions are realized in a liquid, numerous vapor–gas bubbles forming a cavitation cluster grow and then simultaneously explode. The cavitation action effect is determined by the combined influence of all the cluster bubbles.
The superposition of shock waves from each individual bubble forms a single destructive shock wave. However, this concept fails to explain the destruction of micro objects (micro objects in Figure 1) within the cluster itself. When cavitation cluster features are modeled and analytical calculation methods for cavitation reactors are developed, the temperature is often not even included in the model parameters [14,15]. In [27], regarding the analysis of boiling processes, a model of the bubble ensemble dynamics is considered based on a model of the single bubble dynamics. Considering the liquid compressibility, we propose for it to be included in Equation (1), as this model makes it possible to predict the evolution of a cavitation cluster at all stages of its development and to describe the nature of microflows in the interbubble space of the cluster associated with bubble expansion or contraction. Nevertheless, in this work, a uniform distribution of gas bubbles in a liquid is assumed, which is practically unrealizable in real processes. Moreover, if we consider the problem with the temperature effect, then cluster sizes should be different, as shown in Figure 1 since the clusters have a more complex structure.
Figure 2 shows the distribution of microflow velocity vectors at local points around vapor bubbles, modeled using the technique proposed in [27] (gas bubble radii R = 10–100 μm (in the diagram, the size of each bubble increases by 10 μm)), with the maximum liquid rate at the interface with bubbles being vi = 220 m/s (superheating temperature is 110 °C).
Due to the superposition of radial flows of all the bubbles in the cluster, the pattern is quite complex. However, in real emulsions (Figure 1), with distance from the bubble, the rate should change sharply in magnitude and direction, since the dynamics of bubble development depend on its size and distance to the neighboring bubbles, as well as their sizes.
Calculations show that shear rates in the interbubble space at local points at the boundaries of the interaction between flows can reach 104 s−1, thus corresponding to a shear stress of about 0.8 kPa if the dispersion phase is water (in these calculations, a water emulsion in fuel oil was used). However, if we use a procedure that focuses on a uniform distribution of low-boiling liquid droplets, as shown in Figure 2, we will not get the resultant flux. The dynamic effects are identical around each droplet and they will be mutually compensated. It does not correspond to the effects in real emulsions, where under similar conditions a circulating flow in the emulsion volume would occur. It is thought that the values of local velocities and accelerations will be different as they should also affect adjacent droplets. Since they have different sizes and are arranged in a chaotic manner, these effects will differ in level and direction. The resulting effect can be much more significant when the dynamic effects are directed towards the opposite droplets. It is also important to bear in mind that depending on the size of the droplets, dynamic effects can occur at different times. For example, if a small droplet evaporates very quickly, resulting in a strong dynamic effect, it may already be realized before the effect of a relatively larger droplet occurs; the resulting effect can be turbulization of the fluid volume, an increase in heat flow, or emulsion homogenization.
It is essential that even at the stage of monotonic cluster expansion when the bubble growth rate does not exceed 2 m/s, the shear rates in liquid local zones are quite high—in the order of 7 × 103 s−1, comparable to the shear rates achieved in homogenizers. Thus, if a high level of thermal action is realized only at the stage of maximum cluster bubble compression, at a time interval of tens of nanoseconds, then the effective influence of shear stresses manifests itself during the entire cluster lifetime. We can consider the additional effect of liquid temperature on the above processes in terms of, for example, homogenization technologies. We assume that the creation of cavitation effects through increasing the superheated pressure with a subsequent sharp decrease will create anomalous dynamic effects at the boundaries of growing vapor bubbles (at the moment of their explosion), which make it possible to crush all the dispersed inclusions in a liquid. We refer to this method as the thermal cavitation homogenization; Figure 1 shows the effect of such an initiation (Figure 1c), as a result of which a homogeneous emulsion is obtained.
However, the method described in [27], used for the assessment of microflow intensity and resulting dynamic effects, does not ensure a result ready for practical use but only reflects some of the physical processes inherent in the model. To assess the real practical effects, it is necessary to modify the model, as proposed in [27], taking into account the real structure of the liquid.
Thus, cavitation effects can also be used for breaking secondary phases in liquids. To do this, it is necessary to develop a quantitative assessment for these phenomena, which would also be suitable for their management.

3. Determination of a Sufficient Level of Supplied Energy to Intensify Heat and Mass Transfer Processes

There is a fundamental difference in the application of methods to affect a dispersed system to crush the dispersed phase and intensify transfer processes. Dispersion breaking is a one-stage action that can either take place instantly, if the intensification level is high enough, or it will not proceed at all, even with an infinitely long energy impact, if the intensification level is below a critical value. Heat and matter transfer in the system, on the contrary, proceed even at the lowest levels of intensification, and any increase in external action only proportionally increases the speed of these processes. However, transfer processes at a certain energy level can also intensify a mass transfer (breaking processes subject to the conversion of thermal energy into kinetic energy).
If, for example, the problem is solved using a certain mixing device to create an emulsion with a given particle size of the dispersed substance in a small container, then you can stir the liquid mixture as long as you like and spend a huge amount of energy, but the required result cannot be achieved if the speed of the mixer (introduced power W0) is not high enough. At Δ τ energy, consumption is E = W × Δ τ . It is enough to slightly increase the number of revolutions to achieve the required power level Weff and under specified conditions, an emulsion with a given particle distribution will be obtained in a very short time Δ τ m i n with low energy consumption E = W e f f × Δ τ m i n . In this example, the result is achieved with the mandatory exceeding of a certain power level Weff in the working volume of the apparatus, whilst Weff and Δ τ m i n are mutually independent parameters.
Thus, with the intensification of mass transfer processes, a maximum power value is also obtained. Therefore, when intensification methods are used to break up dispersions, the specific power level must exceed a certain value W ˜ e f f to ensure a positive effect of the operation. To obtain the required effect with minimal energy consumption, it is necessary to provide a specified power level ( W W ˜ e f f ) for a short time ( Δ τ Δ τ m i n ) or, in other words, convert the input energy into short but powerful impulses.
In this work, within the framework of the model of cavitation bubble growth, the authors studied velocity fields and pressures in the liquid phase (in emulsion) at the final stage of destruction (explosion) of the cavitation cluster, i.e., at the moment of transformation of the liquid thermal energy into the kinetic energy of motion at the vapor cluster boundary. These processes take place in zones of low surface tension—at the interface between emulsion phases (Figure 3). When the vapor cavity expands, the pressure decreases and, accordingly, the vapor temperature. Compression is accompanied by an increase in temperature and pressure as well as the corresponding phase transitions. These processes are considered by the authors to be an “internal” task, well addressed in previously published works (e.g., [26,27]). An abrupt expansion of the vapor region boundary causes a dynamic effect on the neighboring droplets and, as a result, they can split into smaller (thermodynamically stable) clusters if the condition W W ˜ e f f is met. The combined effect of these phenomena and the external effects, described in Section 1 and Section 2, provide a significant dynamic effect that can be used practically in homogenization technologies.
The mathematical models, presented in the works cited above, enable qualitative assessment of the described phenomena; however, they cannot be used to determine the effective power in homogenization technologies and to predict the effect when such a power is introduced into the emulsion.

4. An Estimation Procedure for Dynamic Effects in a Cluster during the Liquid Boiling Estimation of the Energy Input Level

We first demonstrate how to estimate the effects that can be achieved when energy is input into the emulsion volume, e.g., by preheating and rapid pressure release, for a single low-boiling liquid droplet.
Calculations have been shown in Figure 3, using the mathematical model given in [27], taking into account the modified Equation (1) to determine the acceleration of the vapor–liquid interface and the conditions below. The superheating temperature of the primary emulsion (Figure 1) is 180 °C, for droplet sizes of the dispersed phase shown in Figure 2.
The resulting acceleration, taking into account (1), is calculated as follows:
g ( x , τ ) = d v d τ ;
g ( x , τ ) = i = 0 n [ p i n t p e x t + 1.5 ( p i n t p e x t ) 2 k β 1.5 ρ v 2 ] ( x i x ) R i ρ × d 3
where xi are the initial coordinates of droplet centers; di = |xix| is the radius vector; x is a coordinate of the acceleration calculation point; v is the oil–vapor interface motion rate for the i-th droplet; and Ri is the radius of the oil–vapor interface of the i-th droplet. The higher the acceleration of the phase interface, the higher the force that occurs when water starts boiling.
The graphs show that the smaller the initial droplet radius is, the more intensively the vapor phase grows, i.e., the interface rate and acceleration are higher. Therefore, in real emulsions where dispersed particles of different diameters are present, remote from each other at different distances, the dynamic effects during boiling of the thermolabile emulsion part (water in our example) will have different dynamics of cavitation effects. In this case, the idealized picture of dynamic effects shown in Figure 2 and, accordingly, their assessment methods, cannot be applied. At different droplet radii, both joint maximums (minimums) of the rate (acceleration) and significant differences in these rates (accelerations) can be observed. Considering that rates (accelerations) for different initial radii have different amplitudes and frequencies of variation in time, it can be assumed that at some point in time Kelvin–Helmholtz instability is possible, and, for acceleration, Rayleigh–Taylor instability.
Let us analyze the conditions that can result in a certain instability. By joint analysis of the Bond and Weber criterion [27], as well as their critical values, with the Rayleigh–Plesset Equation, it follows that critical forces, resulting in Rayleigh–Taylor or Kelvin–Helmholtz instability, respectively, are as follows:
F B o c r = 40 π σ R i
F W e c r = 30 π σ R i .
Comparison of (4) and (5) shows that F B o c r = 1.33 F W e c r , but these forces are caused by various factors, and they cannot be identified.
Deformation and breaking of both the vapor layer and water droplets in water–oil emulsions can be caused by different directions of both the acceleration vector and velocity vector. Let us assume that deformation, breaking, or displacement will occur only if the acceleration vector has a positive direction and, regardless of it, the rate vector is also positive. If we consider the mutual influence of droplets No. 1 and No. 2 (Figure 4) located at a distance l, i.e., x1 = 0, x2 = l, then the acceleration tending to destruct the interface of droplet No. 1 is
g ( x , τ ) p 1 = { i = 1 2 g ( x , τ ) i ; k 1 0 ; k 2 0 ; i = 1 2 g ( x , τ ) i ; k 1 0 ; k 2 0 ; g ( x , τ ) 2 ; k 1 < 0 ; k 2 > 0 ; g ( x , τ ) 2 ; k 1 > 0 ; k 2 < 0 .
where g i is determined by Equation (7);
k i = [ p i n t p e x t + 1.5 ( p i n t p e x t ) 2 k β 1.5 ρ v 2 ] ;     d i = | x i R i | .
Then, the force caused by the flow acceleration or deceleration is
F B o 1 = 4 π ρ 1 g 1 R 1 3
Similarly, it can be written for the rate
v p 1 = { i = 1 2 v r i ; v 1 0 ;   v 2 0 ; i = 1 2 v r i ; v 1 0 ,   v 2 0 ; v r 2 ; v 1 < 0 , v 2 > 0 ;   v r 2 ;   v 1 > 0 , v 2 < 0 .
where v r i = v i R i 2 ( x i R i ) d i 2 .
Then the dynamic head force is
F W e 1 = 6 π ρ 1 R 1 2 | v p 1 | v p 1
As is known, the capillary force Fσ, regardless of a deformed droplet shape, is always directed so as to restore the spherical shape, i.e., in order for Gibbs free energy to be minimal. Therefore, if a deformed droplet takes the shape of an oblate ellipsoid, the capillary force opposes the external force. If it is deformed into an oblong ellipsoid, then the capillary force coincides in direction with the external force and the droplet will be unstable, while the shape of an oblate ellipsoid can be quasi-stable.
The minimum of a given capillary force is possible. We will assume that this minimum is determined by the Laplace force:
F σ 1 = 8 π σ R 1
Thus, if the dynamic action from the neighboring droplet exceeds the force Fσ, the droplet will be deformed or broken; if the forces are equal, equilibrium will occur; and if Fσ > FBo,We, repulsion without deformation will take place.
Differences between FBo,We and Fσ are equal:
Δ F B o = F B o F σ ;   Δ F W e = F W e F σ
Following the example of the force, resulting from flow acceleration or deceleration, the following conditions can be written: Δ F B o F B o c r —breaking; Δ F B o 0 —deformation; Δ F B o = 0 —equilibrium; and Δ F B o < 0 —displacement.
The system of Equations (7)–(11) for particle No. 2, located at a distance of l from the first particle, will take the following form:
g ( x , τ ) p 2 = i = 1 2   g ( x , τ ) i ; k 1 0 ; k 2 0 ; i = 1 2   g ( x , τ ) i ; k 1 0 ; k 2 0 ; g ( x , τ ) ; k 1 < 0 ; k 2 > 0 ; g ( x , τ ) 1 ; k 1 > 0 ; k 2 < 0 ;   v p 2 = i = 1 2   v r i ; v 1 0 ; v 2 0 ; i = 1 2   v r i ; v 1 0 , v 2 0 ; v r 1 ; v 1 < 0 , v 2 > 0 ; v r 1 ; v 1 > 0 , v 2 < 0 ;
where g ( x , τ ) i = k i R i ( x i j ) ρ d i 3 ; v r i = v i R i 2 ( x i j ) d i 3 ; and d i = | x i j | ; j = l R 2 .
F B o 2 = 4 π ρ 2 g 2 R 2 3
F W e 2 = 6 π ρ 2 R 2 2 | v p 2 | v p 2
F σ 2 = 8 π σ R 2
Thus, dynamic effects from neighboring droplets of low-boiling liquid can make them move or break if critical values of the ΔFBo criterion are reached. If opposing forces are approximately equal, abnormal pressure can be observed, as pointed out by the authors of [16,17,18]. However, each liquid droplet forms its own local dynamic effect during boiling and therefore the effect of all cluster particles shall be considered.

5. Condition for the Formation of a Superposition of Dynamic Effects and the Resulting Effect

The above considerations are valid for the determination of the resulting force sufficient to break the droplet. However, different situations of cluster development are possible. For instance, if equal forces act on the droplet (No. 3, Figure 4) from all sides, or their resultant does not exceed F B o e f f , in this local vapor volume, it is possible to achieve the anomalous pressure and temperature values mentioned at the beginning of this paper. It is also important to evaluate the influence of the dynamic effect angle of action on the droplet surface.
In this part, breaking processes of dispersed phase droplets, surrounded by other droplets during their boiling up, will be analyzed. We take the emulsion shown in Figure 1, Figure 4 and Figure 5 as a study object. This figure shows that there are “small” droplets between “large” droplets: the former serve as sources of increased dynamic forces at boiling up, thus initiating breaking processes of larger droplets due to significant differences in accelerations and growth rates between them.
The main types of instability emulsion structure will be considered: Kelvin–Helmholtz instability caused by the difference in rates and Rayleigh–Taylor instability, resulting from the difference in accelerations [27].
When analyzing the possibility of dynamic effects, one can assume that the main role will be played by the forces acting along a normal component to the droplet surface, i.e., forces directed either towards the droplet center or away from it. Thus, the acceleration and rate, acting on the particle surface and directed towards its center (from the center) can be determined from the following Equations:
g n r ( x 0 , y 0 ) = g ( x 0 , y 0 ) k n r
v n r ( x 0 , y 0 ) = v ( x 0 , y 0 ) k n r
where x 0 ,   y 0 are coordinates of the droplet surface point and k n r is a correction for the normal component.
Correction k n r can be determined by Figure 6:
k n r = c o s γ = ( x i x 0 ) s i n β + ( y i y 0 ) c o s β d i ( x 0 , y 0   ) .
The authors assume that acceleration and its resulting force are positive if they are directed towards the center and negative if they are directed away from the center. The rate (acceleration) vector of the liquid–vapor interface of the considered boiling up particle is considered positive if it is directed from the droplet center and negative if it is directed to the center.
The acceleration and velocity of the phase interface movement are determined by the following expressions:
g n r ( x 0 , y 0 ) = i = 1 N 1 g i ( x 0 , y 0 ) k n r i ;
v n r ( x 0 , y 0 ) = i = 1 N 1 v i ( x 0 , y 0 ) k n r i ,
where N is the total number of boiling up dispersed phase droplets.
Taking angle β as a variable (Figure 6), the coordinates of the required opposite points of the particle surface may be represented, where dynamic effects are directed to
x s 1 = x + Δ x ;   y s 1 = y + Δ y ; x s 2 = x Δ x ;   y s 2 = y Δ y ; Δ x = R s i n β ;   Δ y = R c o s β ;   0 β 180 °
where x, y are the particle coordinates; xs1, ys1 are coordinates of the droplet side surface (0 ≤ α ≤ 180) from Figure 6; and xs2, ys2 are the opposite side coordinates (180 ≤ α ≤ 360).
Then, correction knr will be determined by the following expressions:
k n r 1 = ( x i x s 1 ) s i n β + ( y i y s 1 ) c o s β d i ( x s 1 , y s 1   ) ;   0 β < 180 ° ;
k n r 2 = ( x i x s 2 ) s i n β + ( y i y s 2 ) c o s β d i ( x s 2 , y s 2   ) ;   180 β < 360 ° .
In Equation (24), xs2, ys2 are calculated, taking into account 0 ≤ α ≤ 180 and knr at β = β + 180.
Let us consider how the magnitude and direction of the force acting on the surface of the analyzed droplets (Figure 4 and Figure 5) changes. Its value is determined by the acceleration of the vapor cavity boundary when the pressure of the emulsion preheated to t0 ≈ 105 °C decreases, to an atmospheric pressure equal to 105 Pa. For all droplets, a vapor layer equal to 1 µm at the initial moment of time is assumed. The acceleration change pattern on the surface of the analyzed droplets shows in which direction and how the resulting force will change. Calculation results for water–oil emulsion according to Equations (20)–(24) are shown in Figure 7 and Figure 8.
The graphs clearly show the relationship between the angles of the droplets and the acceleration values of the interface. Thus, for example, for droplet No. 2 (Figure 4) there are two acceleration maximums at once: angle β 55 ° and β 315 ° , corresponding to angles of the nearest neighboring droplet No. 1 and No. 3 arrangement, respectively. As the Figures show, there are always several acceleration (force) maximums.
Let us analyze a boiling emulsion droplet (Figure 9) affected by external forces.
If the maximum of two forces acting on opposite sides is F = F s 1 + F s 2 and is at an angle of β1 to axis y, the maximum force acting on one side is Fs1 and at an angle of β2 from axis y ( F > F , where F = F s 1 + F s 2 ). The force acting from the droplet side is F, with F > F s 1 , F > F s 2 , F > F s 2 , F < F s 1 . Then, the opposing force will be able to mitigate all forces, except F s 1 . Therefore, only one difference will determine the resulting force, which can cause either deformation or breaking. This force is equal to Δ F = F s 1 F .
Thus, it is obvious that though the maximum of two opposing forces is at angle β1 to axis y, the determining maximum is the one caused by force F s 1 (angle β2).
This is the distinguishing feature of our method used for the assessment of dynamic effects from those cited in Section 1 and Section 2. They basically do not consider the dynamic effects from all cluster droplets and the superposition principle implies the coincidence of the force vector direction, as shown in Figure 2. However, a (secondary) liquid droplet can be deformed or even destructed when tangential stresses arise inside the cluster. Therefore, the issue of what initiation level should be used to destruct the clusters and what sizes of secondary liquid droplets in the emulsion will be formed under such an action is still to be solved.
For a non-boiling droplet, the force acting on its surface, considering the assumed conditions, is determined by the following acceleration:
Δ g = { g s 1 + g s 2 ; z > 0 ; g s 1 ; z < 0 ;   | g s 1 | > | g s 2 | ; g s 2 ; z < 0 ;   | g s 2 | > | g s 1 | ,
where z = g s 1 g s 2 is a coefficient, considering the direction of the acceleration action; g s 1 is acceleration, acting on the inclusion surface at 0 α < 180 ° ; and g s 2 is acceleration, acting on the inclusion surface at 0 α < 360 ° .
The force that can result in breaking of a non-boiling inclusion of a dispersed phase is determined by the maximum acceleration:
g d = m a x { | Δ g | } ,     0 α < 180 °
For a boiling up particle, two force maximums are determined due to accelerations, acting on one side of the inclusion:
g d 1 = m a x { | g s i | } ,     g s i = { g s 1 ;   | g s 1 | > | g s 2 | ;   g s 2 ;   | g s 1 | < | g s 2 | ;   0 β < 180 ° ;
and on opposing sides of the inclusion:
g s 1 , s 2 = { g s 1 + g s 2 ;   z > 0 ;   g s 1 ; z < 0 ;   | g s 1 | > | g s 2 | ;   g s 2 ;   z < 0 ;   | g s 2 | > | g s 1 | ;         g d 2 = m a x { | g s 1 , s 2 | } ,     0 β < 180 °
The acceleration maximums g d 1 and   g d 2 correspond to accelerations g s 1 and g s 2 , respectively.
Considering that the droplet dynamic effect cannot destruct the droplet itself, it is possible to write Equations to calculate the acceleration and rates of flow in the cluster resulting in its destruction. If the resulting acceleration or rate is positive, then they cause instability, and if they are negative, then there is no destabilizing effect. One may write
g p 1 = { g s 1 g 4 ;   g 4 0 ;   g s 1 0 ;   g s 1 ;   g 4 > 0 ;   g s 1 < 0 ;   g s 1 ;   g 4 < 0 ;   g s 1 > 0 ;   g 4 g s 1 ;   g 4 0 ;   g s 1 0 ,
where g p 1 is the resulting acceleration, acting on one side of the inclusion and g 4 is the acceleration of the oil–vapor inclusion interface.
For the opposite side, one can write an Equation similar to (29) but inserting g p 2 and g s 2 instead of g p 1 and g s 1 , respectively.
Then, the resulting acceleration will be determined by the following Equation:
Δ g d = g p 1 + g p 2
with the following required conditions:
g p 1 = { 0 ; z < 0 ;   | g s 1 | | g s 2 | < 0 ; 0 ; z > 0 :   { g 4 > 0 ;   g s 1 > 0 ;   g s 2 > 0 ; g s 1 g 4 < 0 ;   g s 2 g 4 > 0 ; g 4 < 0 ;   g s 1 < 0 ;   g s 2 < 0 ; g s 1 g 4 > 0 ;   g s 2 g 4 < 0 ; g p 2 = { 0 ; z < 0 ;   | g s 1 | | g s 2 | > 0 ; 0 ; z > 0 :   { g 4 > 0 ;   g s 1 > 0 ;   g s 2 > 0 ; g s 1 g 4 > 0 ;   g s 2 g 4 < 0 ; g 4 < 0 ;   g s 1 < 0 ;   g s 2 < 0 ; g s 1 g 4 < 0 ;   g s 2 g 4 > 0 .
If the force maximums (accelerations, rates) do not coincide, acting on the opposite sides of the inclusion and on the one side, we consider that the total force that is of greater importance is determined by
g d = { Δ g d 1 ;   Δ g d 1 > Δ g d 2 ;   Δ g d 2 ;   Δ g d 1 < Δ g d 2 ,
where g d 1 ,   Δ g d 2 is the resulting acceleration.
Similarly, we can get an Equation for the rate. At the same time,
Δ v = k | v p |
where k = { 1 ,   v p 0 ; 1 ,   v p > 0 ;   v p = v p 1 | v p 1 | + v p 2 | v p 2 | .
It is generally accepted that the structural stability of the emulsion is determined by the instability according to the Bond criterion [27]. The force, acting at 0 α < 180 ° , is equal to
  F g 1 = 4 π R 4 3 ρ g s 1
For 180 ° α < 360 ° ,
F g 2 = 4 π R 4 3 ρ g s 2
The opposing force from the oil–vapor interface of the droplet itself is
F g = 4 π R 4 3 ρ g 4
The resulting force acting on the droplet is
F B o = 4 π R 4 3 ρ g d
The critical force, resulting in Bond instability, is
F B o e f f = 40 π σ R 4 .
The force determining a droplet deformation or displacement is
Δ F B o = F B o 8 π σ R 4
For each of the analysed droplets, the calculation is performed either until the condition
F B o F B o e f f
is met, or until the mutual meeting of droplets, determined by condition
Δ R i , j 0 ,
where Δ R i , j = d i , j ( R 4 i + R 4 j ) , d i , j = ( x i x j ) 2 + ( y i y j ) 2 ; i = 1, 2, …, N; j = i + 1, i + 2, …, N; and i, j are droplet numbers with corresponding coordinates xi, yi; xj, yj.

6. Results and Discussion

The calculation results are presented in Figure 10, Figure 11 and Figure 12. The performed calculations (t0 = 110 °C) showed that only droplets No. 2 and No. 6 will be destroyed at the initial moment of pressure release. This means that the level of the supplied effective power by emulsion superheating to the specified temperature is sufficient to break all emulsion droplets larger than droplet No. 6. To break smaller droplets, the superheat temperature must be increased.
The joint consideration of all the dynamic effects in a cluster makes it possible to determine the force FBo that can correspond to the level of effective impact on the cluster, being the cause of the dispersed phase breaking. The figures show that for droplets No. 1, 3, 4, and 5 with a positive value of force FBo, only their mutual displacement is possible, as indicated by a negative sign (at τ ≈ 2∙10−6 s).
To destroy these droplets, it is necessary to increase the supplied energy to the effective one. It can be achieved by raising superheating temperature and pressure (thermal cavitation initiation). The same effect can be obtained by using mixing devices, where local cavitation zones can appear on the blades at certain flow rates.
The calculations performed for overheating temperatures to = 130 °C and to = 170 °C demonstrated that, at the moment of instantaneous pressure release, almost all large droplets will be broken, while at to = 110 °C only two droplets will be broken due to boiling small neighboring particles.
As for the intensification of heat transfer processes, attention should be paid to the effect of heat accumulation by the high-boiling liquid. With a sudden drop in pressure of the superheated emulsion, the low-boiling liquid, e.g., water, evaporates partially or completely, depending on superheating level. The vapor temperature decreases during expansion. At the same time, a high-boiling fraction of the emulsion transfers the stored energy to vapor and water. Thus, we get an additional impulse of energy from the high-boiling phase. Temperature T can be determined if we know the total liquid volume, the proportion of emulsion phases, and the size and number of the low-boiling fraction droplets. For example, if emulsion volume V is known to contain 30% water and 70% fuel oil, the number of water particles is
N = 0.75 V π R 3
where R is the water droplet radius.
Then variation of fuel oil temperature in time is
d E d τ = 4 π R 3 2 N Q c m
where m ,     c are fuel oil mass and heat capacity and Q is the fuel oil heat flow to be determined by the methods proposed in [38].
For example, for an emulsion volume V = 0.3 × 10−3 m3 with 30% water and an average droplet size of R = 100 μm, the number of these droplets is approximately N = 1.8 × 107. The calculation results are shown in Figure 13.
Figure 13 shows that heat flow for the considered example is approximately 1 W per particle. As the number of particles is N = 1.8 × 107, we can conclude that the heat exchange process is high-intensive, which would allow more heat to be removed or supplied in standard heat exchangers. Clearly, such effects can only be achieved with certain structural parameters of the emulsion, which can easily be determined using this method.

7. Conclusions

The study of hydrodynamic cavitation phenomena in relation to their targeted and effective use for technological process stimulation and intensification requires a unified approach that equally considers the hydrodynamic and heat and mass transfer aspects of these phenomena. Within the framework of this concept, we proposed a new method to assess dynamic effects. This method is based on an advanced model, considering all determining factors and an accurate representation of thermophysical system parameters, which relevantly describes the behavior of bubbles and bubble ensembles in the boiling and cavitation processes. The study results show that the cavitation effect analysis will involve liquid transition around the bubble, as well as the vapor–gas mixture in the bubble itself, into the supercritical fluid state. To assess the spatial and time boundaries of the supercritical region and to analyze the effects of a spherical hydraulic hammer in local zones of the cavitation cloud, the liquid compressibility will be considered in modeling.
The method for assessment of thermal cavitation effects was validated using superheated emulsion boiling with a sharp decrease in pressure. At the interface of the liquid phases (in the region of low surface tension, water in our example), vapor fluids are formed with rapidly increasing volumes. Thus, conditions for dynamic effects on the emulsion structure are provided. This method of local supply of energy Weff makes it possible to implement the task of heat and mass transfer or homogenization process intensification. Moreover, the effect level is easy to regulate using the temperature and pressure of the emulsion preheating. The same phenomena can be used in jet devices.
This study should be considered as the initial stage of substantiation of rational designs and optimal operating modes of cavitating devices as a solution for solving various technological problems.

Author Contributions

Conceptualization, A.M.P. and H.K.; methodology, A.M.P.; validation, A.M.P. and H.K.; data curation, A.M.P.; writing—original draft preparation, A.M.P.; writing—review and editing, A.M.P.; visualization, A.M.P. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Fuster, D.; Dopazo, C.; Hauke, G. Liquid compressibility effects during the collapse of a single cavitating bubble. J. Acoust. Soc. Am. 2011, 129, 122–131. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Albanese, L.; Ciriminna, R.; Meneguzzo, F.; Pagliaro, M. Energy efficient inactivation of Saccharomyces cerevisiae via controlled hydrodynamic cavitation. Energy Sci. Eng. 2015, 3, 221–238. [Google Scholar] [CrossRef]
  3. Zevnik, J.; Dular, M. Cavitation bubble interaction with a rigid spherical particle on a microscale. Ultrason. Sonochem. 2020, 69, 105252. [Google Scholar] [CrossRef]
  4. Gogate, P.R.; Pandit, A.B. Engineering design methods for cavitation reactors II: Hydrodynamic cavitation. AIChE J. 2000, 46, 1641–1649. [Google Scholar] [CrossRef]
  5. Kanthale, P.M.; Gogate, P.R.; Pandit, A.B. Dynamics of gravitational bubbles and design of a hydrodynamic cavitational reactor Ultrason. Sonochem. 2005, 12, 441–452. [Google Scholar] [CrossRef] [PubMed]
  6. Li, J.; Cheng, P. Bubble cavitation in a microchannel. Int. J. Heat Mass Transf. 2004, 47, 2689–2698. [Google Scholar] [CrossRef]
  7. Melikhov, V.; Yakush, S.; Le, T. Evaluation of energy and impulse generated by superheated steam bubble collapse in subcooled water. Nucl. Eng. Des. 2020, 366, 110753. [Google Scholar] [CrossRef]
  8. Roesle, M.; Kulacki, F. An experimental study of boiling in dilute emulsions, part A: Heat transfer. Int. J. Heat Mass Transf. 2012, 55, 2160–2165. [Google Scholar] [CrossRef]
  9. Podnar, A.; Dular, M.; Sirok, B.; Hocevar, M. Experimental Analysis of Cavitation Phenomena on Kaplan Turbine Blades Using Flow Visualization. J. Fluids Eng. 2019, 141, 071101. [Google Scholar] [CrossRef]
  10. Chernin, L.; Val, D.V. Probabilistic prediction of cavitation on rotor blades of tidal stream turbines. Renew. Energy 2017, 113, 688–696. [Google Scholar] [CrossRef] [Green Version]
  11. Pham-Thanh, N.; Van Tho, H.; Yum, Y.J. Evaluation of cavitation erosion of a propeller blade surface made of composite materials. J. Mech. Sci. Technol. 2015, 29, 1629–1636. [Google Scholar] [CrossRef]
  12. Dietzel, D.; Hitz, T.; Munz, C.-D.; Kronenburg, A. Expansion Rates of Bubble Clusters in Superheated Liquids. In Proceedings of the Germany ILASS–Europe 2017, 28th Conference on Liquid Atomization and Spray Systems, Valencia, Spain, 6–8 September 2017. [Google Scholar] [CrossRef] [Green Version]
  13. Warjito, W.; Budiarso, B.; Syahputra, M.F.; Nasution, S.B. The Effect of Blades Gap on Propeller Openflume Picohydro Turbine Performance. Int. J. Fluid Mach. Syst. 2021, 14, 122–131. [Google Scholar] [CrossRef]
  14. Tran, B.N.; Jeong, H.; Kim, J.-H.; Park, J.-S.; Yang, C. Effects of Tip Clearance Size on Energy Performance and Pressure Fluctuation of a Tidal Propeller Turbine. Energies 2020, 13, 4055. [Google Scholar] [CrossRef]
  15. Adhikari, R.C.; Vaz, J.; Wood, D. Cavitation Inception in Crossflow Hydro Turbines. Energies 2016, 9, 237. [Google Scholar] [CrossRef] [Green Version]
  16. Janssen, D.; Kulacki, F. Flow boiling of dilute emulsions. Int. J. Heat Mass Transf. 2017, 115, 1000–1007. [Google Scholar] [CrossRef]
  17. Ganesan, B.; Martini, S.; Solorio, J.; Walsh, M.K. Determining the Effects of High Intensity Ultrasound on the Reduction of Microbes in Milk and Orange Juice Using Response Surface Methodology. Int. J. Food Sci. 2015, 2015, 1–7. [Google Scholar] [CrossRef]
  18. Chandrapala, J.; Oliver, C.; Kentish, S.; Ashokkumar, M. Ultrasonics in food processing – Food quality assurance and food safety. Trends Food Sci. Technol. 2012, 26, 88–98. [Google Scholar] [CrossRef]
  19. Sun, X.; Chen, S.; Liu, J.; Zhao, S.; Yoon, J.Y. Hydrodynamic Cavitation: A Promising Technology for Industrial-Scale Synthesis of Nanomaterials. Front. Chem. 2020, 8, 259. [Google Scholar] [CrossRef]
  20. Prajapat, A.L.; Gogate, P.R. Depolymerization of carboxymethyl cellulose using hydrodynamic cavitation combined with ultraviolet irradiation and potassium persulfate. Ultrason. Sonochem. 2019, 51, 258–263. [Google Scholar] [CrossRef] [PubMed]
  21. Merzkirch, W.; Rockwell, D.; Tropea, C. Orifice Plates and Venturi Tubes; Springer International Publishing: Cham, Switzerland; Heidelberg, Germany; New York, NY, USA; Dordrecht, The Netherlands; London, UK, 2015; Available online: https://link.springer.com/content/pdf/bfm%3A978-3-319-16880-7%2F1.pdf (accessed on 17 July 2015).
  22. Nigmatulin, R.I.; Taleyarkhan, R.P.; Lahey, R.T. Evidence for nuclear emissions during acoustic cavitation revisited. Proc. Inst. Mech. Eng. Part A J. Power Energy 2004, 218, 345–364. [Google Scholar] [CrossRef]
  23. Sun, X.; Wang, Z.; Xuan, X.; Ji, L.; Li, X.; Tao, Y.; Boczkaj, G.; Zhao, S.; Yoon, J.Y.; Chen, S. Disinfection characteristics of an advanced rotational hydrodynamic cavitation reactor in pilot scale. Ultrason. Sonochem. 2021, 73, 105543. [Google Scholar] [CrossRef] [PubMed]
  24. Albanese, L.; Baronti, S.; Liguori, F.; Meneguzzo, F.; Barbaro, P.; Vaccari, F.P. Hydrodynamic cavitation as an energy efficient process to increase biochar surface area and porosity: A case study. J. Clean. Prod. 2019, 210, 159–169. [Google Scholar] [CrossRef]
  25. Badve, M.; Alpar, T.; Pandit, A.B.; Gogate, P.R.; Csoka, L. Modeling the shear rate and pressure drop in a hydrodynamic cavitation reactor with experimental validation based on KI decomposition studies. Ultrason. Sonochem. 2015, 22, 272–277. [Google Scholar] [CrossRef]
  26. Pavlenko, A. Dispersed phase breakup in boiling of emulsion. Heat Transf. Res. 2018, 49, 633–641. [Google Scholar] [CrossRef]
  27. Pavlenko, A. Energy conversion in heat and mass transfer processes in boiling emulsions. Therm. Sci. Eng. Prog. 2019, 15, 1–8. [Google Scholar] [CrossRef]
  28. Gasanov, B.M.; Bulanov, N.V. Effect of the droplet size of an emulsion dispersion phase in nucleate boiling and emulsion boiling crisis. Int. J. Heat Mass Transf. 2015, 88, 256–260. [Google Scholar] [CrossRef]
  29. Roesle, M.L.; Lunde, D.L.; Kulacki, F.A. Boiling Heat Transfer to Dilute Emulsions from a Vertical Heated Strip. J. Heat Transf. 2015, 137, 8. [Google Scholar] [CrossRef]
  30. Rozentsvaig, A.K.; Strashinskii, C.S. The Growth of Vapor Bubbles in the Volume of Superheated Drops, Dispersed in High-Boiling Liquid. Appl. Math. Sci. 2014, 8, 7519–7528. [Google Scholar] [CrossRef]
  31. Rozentsvaig, A.K.; Strashinskii, C.S. Regimes of Heat Transfer during Boiling Emulsions with Low-Temperature Dispersed Phase. Appl. Math. Sci. 2015, 9, 5593–5601. [Google Scholar] [CrossRef]
  32. Califano, V.; Calabria, R.; Massoli, P. Experimental evaluation of the effect of emulsion stability on micro-explosion phenomena for water-in-oil emulsions. Fuel 2015, 117, 87–94. [Google Scholar] [CrossRef]
  33. Mura, E.; Massoli, P.; Josset, C.; Loubar, K.; Bellettre, J. Study of the micro-explosion temperature of water in oil emulsion droplets during the Leidenfrost effect. Exp. Therm. Fluid Sci. 2012, 43, 63–70. [Google Scholar] [CrossRef]
  34. Aktershev, S.P.; Ovchinnikov, V.V. Modelling of boiling up of a metastable liquid with appearance of the evaporation fronts. Mod. Sci. Res. Ideas Results Technol. 2013, 1, 77–82. [Google Scholar]
  35. Shinjo, J.; Xia, J.; Megaritis, A.; Ganippa, L.C.; Cracknell, R.F. Modeling temperature distribution inside an emulsion fuel droplet under convective heating: A key to predicting microexplosion and puffing. At. Sprays 2016, 26, 551–583. [Google Scholar] [CrossRef] [Green Version]
  36. García, M.C.; Gucker, S.N.; Foster, J.E. Understanding the plasma and power characteristics of a self-generated steam bubble discharge. J. Phys. D Appl. Phys. 2015, 48, 355203. [Google Scholar] [CrossRef]
  37. Feng, J.; Muradoglu, M.; Kim, H.; Ault, J.T.; Stone, H.A. Dynamics of a bubble bouncing at a liquid/liquid/gas interface. J. Fluid Mech. 2016, 807, 324–352. [Google Scholar] [CrossRef] [Green Version]
  38. Pavlenko, A.M. Change of emulsion structure during heating and boiling. Int. J. Energy Clean Environ. 2019, 20, 291–302. [Google Scholar] [CrossRef]
Figure 1. Photos of emulsion: (a) fuel emulsion “water–fuel oil” before thermal cavitation treatment, (b) after hydrodynamic cavitation, and (c) after thermal cavitation treatment.
Figure 1. Photos of emulsion: (a) fuel emulsion “water–fuel oil” before thermal cavitation treatment, (b) after hydrodynamic cavitation, and (c) after thermal cavitation treatment.
Energies 14 07996 g001
Figure 2. Distribution of velocity vectors inside the cavitation cluster.
Figure 2. Distribution of velocity vectors inside the cavitation cluster.
Energies 14 07996 g002
Figure 3. The rate (a) and acceleration (b) changes of the liquid–vapor interface for different initial droplet radii.
Figure 3. The rate (a) and acceleration (b) changes of the liquid–vapor interface for different initial droplet radii.
Energies 14 07996 g003
Figure 4. To the calculated model of droplet breakup of the emulsion dispersed phase (characteristic dimensions in microns).
Figure 4. To the calculated model of droplet breakup of the emulsion dispersed phase (characteristic dimensions in microns).
Energies 14 07996 g004
Figure 5. To the calculated model of droplet breakup of the emulsion dispersed phase (characteristic dimensions in microns).
Figure 5. To the calculated model of droplet breakup of the emulsion dispersed phase (characteristic dimensions in microns).
Energies 14 07996 g005
Figure 6. Determination of correction for the normal component and angle α.
Figure 6. Determination of correction for the normal component and angle α.
Energies 14 07996 g006
Figure 7. The pattern of acceleration, acting on the surfaces of droplet No. 1 (a) and droplet No. 2 (b) (Figure 4) and the resulting acceleration flow from neighboring boiling up particles (gnr), acceleration of the oil–vapor interface of the particle itself (g4) at initial pressure relief from 0.125 MPa down to 0.1 MPa.
Figure 7. The pattern of acceleration, acting on the surfaces of droplet No. 1 (a) and droplet No. 2 (b) (Figure 4) and the resulting acceleration flow from neighboring boiling up particles (gnr), acceleration of the oil–vapor interface of the particle itself (g4) at initial pressure relief from 0.125 MPa down to 0.1 MPa.
Energies 14 07996 g007
Figure 8. The pattern of acceleration of the interface near the droplet No. 3 (a), No. 4 (b), No. 5 (c), and No. 6 (d) with a decrease in pressure.
Figure 8. The pattern of acceleration of the interface near the droplet No. 3 (a), No. 4 (b), No. 5 (c), and No. 6 (d) with a decrease in pressure.
Energies 14 07996 g008
Figure 9. Forces acting on the emulsion droplet (designations are given in the text).
Figure 9. Forces acting on the emulsion droplet (designations are given in the text).
Energies 14 07996 g009
Figure 10. Changes in the forces acting on the surfaces of droplets No. 1 (a) and No. 3 (b) (Figure 4) in time.
Figure 10. Changes in the forces acting on the surfaces of droplets No. 1 (a) and No. 3 (b) (Figure 4) in time.
Energies 14 07996 g010
Figure 11. Changes in the forces acting on the surfaces of droplets No. 4 (a) and No. 5 (b) (Figure 4) in time.
Figure 11. Changes in the forces acting on the surfaces of droplets No. 4 (a) and No. 5 (b) (Figure 4) in time.
Energies 14 07996 g011
Figure 12. Change in the forces acting on the surface of droplet No. 6 (a) and change of oil–vapor interface acceleration (b) of analysed droplets (Figure 4) in time.
Figure 12. Change in the forces acting on the surface of droplet No. 6 (a) and change of oil–vapor interface acceleration (b) of analysed droplets (Figure 4) in time.
Energies 14 07996 g012
Figure 13. Local effect of the change in heat flow from high-boiling emulsion fraction in time.
Figure 13. Local effect of the change in heat flow from high-boiling emulsion fraction in time.
Energies 14 07996 g013
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Pavlenko, A.M.; Koshlak, H. Application of Thermal and Cavitation Effects for Heat and Mass Transfer Process Intensification in Multicomponent Liquid Media. Energies 2021, 14, 7996. https://doi.org/10.3390/en14237996

AMA Style

Pavlenko AM, Koshlak H. Application of Thermal and Cavitation Effects for Heat and Mass Transfer Process Intensification in Multicomponent Liquid Media. Energies. 2021; 14(23):7996. https://doi.org/10.3390/en14237996

Chicago/Turabian Style

Pavlenko, Anatoliy M., and Hanna Koshlak. 2021. "Application of Thermal and Cavitation Effects for Heat and Mass Transfer Process Intensification in Multicomponent Liquid Media" Energies 14, no. 23: 7996. https://doi.org/10.3390/en14237996

APA Style

Pavlenko, A. M., & Koshlak, H. (2021). Application of Thermal and Cavitation Effects for Heat and Mass Transfer Process Intensification in Multicomponent Liquid Media. Energies, 14(23), 7996. https://doi.org/10.3390/en14237996

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop