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Fabien Anselmet is Professor at Ecole Centrale Marseille, France.
Acknowledgments xi
Introduction xiii
Part 1. Approach and General Equations 1
Chapter 1. Towards a Unified Description of Multiphase Flows 3
1.1. Continuous approach and kinetic approach 3
1.2. Eulerian-Lagrangian and Eulerian formulations 7
Chapter 2. Instant Equations for a Piecewise Continuous Medium 9
2.1. Integral and differential forms of balance equations 10
2.2. Phase mass balance equations in a piecewise continuous medium 13
2.3. Momentum balances 17
2.4. Energy balances 21
2.5. Position and interface area balance equations 23
2.6. Extension for a fluid phase that is a mixture 25
2.7. Completing the description of the medium 27
Chapter 3. Description of a "Mean Multiphase Medium" 29
3.1. The need for a mean description 29
3.2. How are mean values defined? 31
3.2.1. Temporal average 31
3.2.2. Volumetric average 32
3.2.3. Statistical average 34
3.2.4. Filtered average 35
3.3. Which average to choose, according to their advantages and disadvantages? 37
Chapter 4. Equations for the Mean Continuous Medium 39
4.1. Global balance equations for the mean medium 39
4.1.1. Total mass 39
4.1.2. Total momentum 40
4.1.3. Total energy 41
4.2. Balance equations for the phases of a mean medium 42
4.2.1. Phase mass 43
4.2.2. Phase momentum 44
4.2.3. Energies of each phase 47
4.2.4. Phase volume 49
4.3. Complete representation of the mean medium 49
4.3.1. Global representation 50
4.3.2. Multifluid representation 51
4.4. Mean equations of state 55
4.5. Extensions 58
4.5.1. Extension when a fluid phase is a mixture 58
4.5.2. Extension for dispersed media 59
4.6. Boundary conditions 61
Part 2. Modeling: A Single Approach Adaptable To Multiple Applications 67
Chapter 5. The Modeling of Interphase Exchanges 69
5.1. General methodology 69
5.2. Interface between phases and its mean area per unit of volume 71
5.2.1. Case of a suspension of liquid or solid particles 71
5.2.2. Case of a medium containing parcels of variable shapes and sizes 72
5.2.3. Case of a suspension of particles of constant and known sizes 74
5.3. Forces of contact and friction between phases 75
5.3.1. Pressure forces on spherical particles in a non-viscous flow 76
5.3.2. Friction on solid particles in steady flow 80
5.3.3. Slightly curved liquid-gas interfaces 87
5.3.4. Drops or bubbles 93
5.4. Heat transfers at the surface of a particle, without mass exchange 96
5.5. Heat and mass transfers during boiling 99
5.5.1. Slightly curved liquid-gas interfaces 99
5.5.2. Bubbles 105
5.6. Mass and heat exchanges by vaporization 107
5.6.1. Mass transfer by evaporation at a flat interface 107
5.6.2. Evaporation of a drop 113
5.6.3. Combustion of a drop 117
Chapter 6. Modeling Turbulent Dispersion Fluxes 119
6.1. Global modeling 119
6.1.1. General information 119
6.1.2. Kinetic energy of the "global fluctuations" 123
6.1.3. Modeling the kinetic energy of the fluctuations 128
6.1.4. Length scales for fluctuations and time scale for the dissipation of kinetic energy of fluctuations 132
6.1.5. Further studies on the dispersion flux of a phase 137
6.2. "Multifluid" modeling 147
6.2.1. The kinetic energy of the fluctuations in each phase 149
6.2.2. Modeling the balance equations of the kinetic energies of turbulence 152
6.2.3. The modeling of time or spatial scales 158
6.2.4. Modeling of the Reynolds tensor for every phase 162
Chapter 7. Modeling the Mean Gas-Liquid Interface Area per Unit Volume 165
7.1. Introduction 165
7.2. Initial equation for the mean interface area per unit volume 166
7.3. Model of the mean interface area during the "atomization" of a liquid jet 168
7.4. Effects of vaporization on the interface area 172
Chapter 8. "Large Eddy Simulation" Style Models 175
8.1. Introduction 175
8.2. Filtered equations and the nature of the models to be provided 177
8.3. Classic LES modeling for SGS additional fluxes 181
8.3.1. Reminder of LES in single-phase, constant density turbulent flows 181
8.3.2. Toward an extension for multiphase flows 183
8.4. Subgrid modeling of the interface area per unit volume 185
8.5. Partially Integrated Turbulence Modeling 188
Chapter 9. Contribution of Thermodynamics of Irreversible Processes 191
9.1. Global two-phase medium models 192
9.1.1. Entropy of a mean two-phase medium using the Prandtl model 194
9.1.2. Entropy for the k-e model, in a medium with a variable density 200
9.2. Contribution of thermodynamics to multifluid models 206
Chapter 10. Experimental Methods 213
10.1. Introduction 213
10.2. Intrusive methods 214
10.2.1. Pitot tubes 215
10.2.2. Hot films 216
10.2.3. Optical needle probes (single probes, bi-probes and quadri-probes) 219
10.2.4. Wire networks 223
10.3. Non-intrusive methods 224
10.3.1. Particle image velocimetry (PIV) 225
10.3.2. Droplet tracking velocimetry 230
10.3.3. Laser Doppler anemometry (LDA) 234
10.3.4. Phase Doppler anemometry (PDA) 237
10.3.5. Ultrasonic Doppler Anemometry 241
10.3.6. Densimetry by attenuation of gamma, X-ray or neutron radiation 243
10.4. Advanced optical methods 245
10.4.1. Laser induced fluorescence 245
10.4.2. Interferometric methods (digital inline holography, Fourier interferometric imaging, ILIDS/IPI, rainbow) 252
Chapter 11. Some Experimental Results Pertaining to Multiphase Flow Properties that Are Still Little Understood 265
11.1. Atomization/fragmentation of liquid jets 265
11.2. Isolated bubbles, bubbles in swarm and their effects on carrier fluid 274
11.3. Boiling crisis 285
Part 3. From Fluidized Beds To Granular Media 297
Chapter 12. Fluidized Beds 299
12.1. Introduction 299
12.1.1. Classification of different fluidization regimes 299
12.1.2. Minimum fluidization and bubbling velocities 304
12.2. Complete models for the dynamics of fluidized beds 306
12.2.1. Bubbling fluidization regime 307
12.2.2. Turbulent fluidization regime 315
12.3. Global models for chemical conversion in fluidized beds 321
12.3.1. Bubbling regime fluidizations 321
12.3.2. Fast fluidization regime 324
12.3.3. Turbulent fluidization regime 325
12.4. Global models for heat transfers in fluidized beds 328
12.4.1. Bubbling fluidization regime 328
12.4.2. Fast fluidization regimes - circulating beds 331
12.5. Conclusion 334
Chapter 13. Generalizations for Granular Media 335
13.1. Introduction 335
13.2. Balance equations for mean granular media 336
13.3. Necessary closure approximations 342
13.4. Some already proposed methods 345
Chapter 14. Modeling of Cauchy Tensor of Sliding Contacts 349
14.1. Hypotheses and basic equations 349
14.2. Unclosed balance equation for Cauchy tensor of sliding contact 351
14.3. Closure approximations for irreversible terms 358
Chapter 15. Modeling the Kinetic Cauchy Stress Tensor 363
15.1. Prandtl-Bagnold modeling 364
15.2. K-lt or "turbulent granular gas" modeling 366
15.3. Toward a general model for all regimes 371
15.4. Boundary conditions at walls 373
Part 4. Studying Fluctuations and Probability Densities 377
Chapter 16. Fluctuations of the Gas Phase in Reactive Two-Phase Media 379
16.1. Specificities of reactive two-phase media 379
16.2. Probability density of composition fluctuations of the gas phase 380
16.2.1. Instant basic equations of the gas medium 382
16.2.2. PDF equation 385
16.3. Modeling the terms due to exchanges between phases 390
16.3.1. Total mass exchange 390
16.3.2. Mass exchange for species 392
16.3.3. Heat exchange 393
16.4. Modeling micromixing and turbulent dispersion 395
16.4.1. The "micromixing" term in PDF equations 395
16.4.2. Turbulent diffusion terms in PDF equations 396
16.5. Practical use of PDF equations 397
Chapter 17. Temperature Fluctuations in Condensed Phases 399
17.1. Problems 399
17.2. Instantaneous equation for the temperature of the liquid phase 401
17.3. Equation for the PDF of the temperature of the liquid 403
17.4. Closure of the equation of the temperature PDF 405
Chapter 18. Study of the PDF for Velocity Fluctuations and Sizes of Parcels 409
18.1. Phase velocity PDF equation 410
18.2. Modeling the exchanges between phases and the internal interactions 415
18.2.1. Terms of exchanges between phases 415
18.2.2. Internal dissipation and production of fluctuations 418
18.3. Practical calculation of PDF 419
18.4. The study of the sizes of the dispersed phase parcels 420
18.5. Eulerian-Lagrangian simulation of dispersed media 423
18.5.1. Lagrangian equations of the parcels 423
18.5.2. Stochastic simulations 426
Bibliography 431
Index 443
Many industrial systems bring into play, in one way or the other, multiphase media involving the combination of liquids and gases, non-miscible liquids, fluids and solids.
Nuclear reactors (whether they use boiling or pressurized water) possess a cooling circuit where, in certain parts of this circuit, a mixture of water and vapor circulates, with water vapor forming on contact with hot walls needing to be cooled and drops of liquid water forming on contact with cold walls needing to be heated. Numerous other thermal engineering facilities possess this type of circuit for transferring heat, in order either to use this energy elsewhere or simply to prevent the machinery from being destroyed by the heat.
The extraction and transportation of oil products is done using conduits within which media are flowing with two or more phases: liquids of different densities and viscosities, gases and even solids. Problems of icing in aeronautics (on the leading edges of wings or ailerons or in Pitot tubes, etc.) also necessitate studying a humid air medium with drops of water flowing in the immediate vicinity of the wall. The short-distance transport of pulverulent materials such as wheat, sawdust and grain is done by blowing air loaded with these solid particles through ducts.
In liquid-fuel rocket engines used in space launchers, as well as in diesel engines, the combustion chamber contains a mixture of vaporizing droplets and combusting gases that give off a considerable release of heat in an astonishingly small volume. A combustible or oxidant liquid, or a mixture of both, is injected in tiny droplets into the combustion chamber, where these drops vaporize and the vapors can burn together, in a steady regime in a rocket engine and in a periodic regime in cycles of a diesel engine.
Fuel burners in glassworks furnaces, or vapor generators in thermal power stations, also inject jets of droplets of fuel into the zone of reacting gases. They produce not only heat and burned gases, but also smoke in which very small particles of carbon are dispersed, and the control of these particles is critical; they allow high heat transfers via radiation in furnaces, but can lead to significant air pollution from chimney exhaust.
Chemical engineering uses several types of gas–liquid reactors at controlled temperature, which are intended to produce specific chemical products rather than heat. Liquid and gaseous reactants are mixed as effectively as possible in order to be able to allow various chemical reactions at the interface between phases. Many chemical reactors also use a catalyst, which is most often in the form of a solid dispersed phase, and these reactors therefore bring multiphase flows into play.
Fluidized beds are currently the most effective devices for burning coal: air is blown forcefully through a highly dense dispersed solid phase composed of particles of dolomite and small particles of coal, enabling exchanges of energy among these three phases, which then causes and maintains chemical reactions. The energy released by combustion produces water vapor by the intermediary of a heat exchanger, the tubes of which can be closer to the combustion zone. The system not only enables adequate homogeneity of the temperature field but also maintains this temperature at around 1,300 K by a voiding the overproduction of NO, while stabilizing combustion at the same time. In addition, dolomite absorbs sulfur and reduces SO2 emissions. There are also recirculating fluidized beds in which solid phases are entrained by the gas phase, recovered at the exit and reinjected at the entry to perfect combustion, even in the highest mass flow rate conditions. These are also easily transposable for the combustion of different types of combustibles, ranging from gas mixtures to various types of waste. Fluidized beds are also used in chemical engineering, or simply to dry solid particles, or to manufacture various types of powders.
Multiphase media often play in nature as well. Clouds contain tiny droplets of (non-pure) water along with particles of ice or snowflakes; agriculture utilizes jets of drops or droplets for the watering or treatment of plants. The dispersion of smoke or other natural or artificial aerosols into the atmosphere or confined gaseous environments, and the possible deposit of the solid or liquid particles they contain, is a source of ongoing problems that are difficult to solve or control. Landslides, avalanches, and flows of sand or various types of debris are also natural examples of flows of multiphase media, the behavior of which is difficult to predict. Soil, even stable soil, is always a multiphase medium containing at least one liquid phase, which is usually water, but air for backfill and ballast for railroads, and in civil engineering we must always have control over the strains of these media that is as complete as possible.
In all of these industrial or natural situations, the overall medium behaves very often like a fluid. This is obviously the case when there is no solid phase, but as soon as one fluid phase exists the medium can be in flow, at least in some parts. This makes it desirable to be able to study these media in the same way as classic fluids, for which we have nearly 100 years of accumulated knowledge and experience. Moreover, these flows almost always display a highly random nature, both in the positions of phases and because they show that velocity fluctuations develop, quite often, similarly to turbulent flows. Experience in modeling turbulent flows should, therefore, prove extremely useful. This experience is not confined solely to questions of motion; we can also represent phenomena in fluids such as heat exchange, diffusion and mixing of various constituents, and chemical reactions, all out of equilibrium. The short descriptions provided above for multiphase situations make it clear that they also include all these phenomena, and that these phenomena give them important specificities. Therefore, it is very useful to generalize the approach used for out of equilibrium continuous fluid media to these multiphase flows.
Since the early years of the use of multiphase devices in various fields of application, a notable body of results and knowledge of an empirical or even occasionally theoretical nature has been accumulated; this has been used to develop simplified and practical approaches for the study and prediction of their characteristics. The design of industrial machinery and the interpretation and control of natural multiphase phenomena have been aided by the various separate branches of this knowledge set, each of them directly linked to a particular application. However, for the last 20 years, the desire for increasingly detailed predictions has resulted in the increasingly frequent use of the methods of continuous fluid mechanics, thus showing a certain community of approach in the different cases. Even without necessarily seeking to build theoretical representations, when we wish to understand how the various basic physical phenomena that occur on a small scale combine, we find a strong similarity of description in numerous different multiphase situations. With regard to the specific aspect of mixing, this is well emphasized in [GUY 97].
It now seems possible and interesting to attempt a unified explanation of the basic theoretical concepts used in the modeling of all multiphase media of these various applications, even though the particularities of the various different situations must explicitly be involved at a certain point. This is the aim of this book. Seeking such a unified methodology has a purpose, even a threefold purpose: first, it may provide a more complete physical understanding of each situation by bringing together information and analyses of situations that are different but using similar phenomena. Second, it may serve as a motivation to use successfully certain modeling or study tools from one field of application in another. Finally, it may render a new field of application accessible that might seem too complex at first glance. However, it is not our objective here to develop the approach to the extent of completely addressing the issues posed by the various applications, even simply those referred to earlier. First, there are too many possible applications, but above all, it would be necessary at times to enter into more details of the modeling, and at a level that would lack interest for the non-specialist. In addition, many particular aspects of certain problems are not yet sufficiently known, and they still require critical discussions, a fact that further pushes away discussions too specific for our global purposes. We wish simply to show how a unified approach can establish a common basis of representation for all of these situations, how questions of modeling emerge, which aspects are general and which are more specific to different applications, etc. To answer these questions, the first result of this unified approach will be to make certain suggestions that are the outcome of comparisons with the issues of another type of multiphase medium.
We cited granular media and even soils above as examples of multiphase media containing solid phases. Landslides and avalanches of debris are obviously multiphase flows. Soil is generally considered as a solid medium, but it is particularly interesting to study the threshold beyond which this medium flows, completely or, most often, in part, which also poses the problem of determining the expansion of the zone which is flowing. We will show how the unified method presented here contributes a new and useful point of view for granular media. When this medium is in flow, it is easy to see how it might be seen as a particular turbulent multiphase...
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