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E-raamat: Multiphase Flow Analysis Using Population Balance Modeling: Bubbles, Drops and Particles

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(Royal Melbourne Institute Technology (RMIT) University, ), , (Professor, Mechanical Engineering (CFD), University of New South Wales, Sydney, Australian Nuclear Science and Technology Organisation, University of New South Wales, Australia)
  • Formaat: EPUB+DRM
  • Ilmumisaeg: 19-Aug-2013
  • Kirjastus: Butterworth-Heinemann Ltd
  • Keel: eng
  • ISBN-13: 9780080982335
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Multiphase Flow Analysis Using Population Balance Modeling: Bubbles, Drops and ParticlesSuurem pilt
  • Formaat: EPUB+DRM
  • Ilmumisaeg: 19-Aug-2013
  • Kirjastus: Butterworth-Heinemann Ltd
  • Keel: eng
  • ISBN-13: 9780080982335
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Yeoh (U. of New South Wales), Cheung, and Tu (both Royal Melbourne Institute of Technology U.) comprehensively review the literature on particle-particle, and particle-fluid interactions in multiphase systems where particles could be gas bubbles, liquid drops, or solid particles. They emphasize the similarities and differences between the three phases of particle in ways useful for applied scientists, practicing engineers, graduate and undergraduate students, and researchers concerned with multiphase phenomena. Among the topics are the computational multiphase fluid dynamics framework, mechanistic models for gas-liquid and liquid-liquid flows, solution methods and turbulence modeling, and some applications of population balance with examples. Butterworth-Heinemann is an imprint of Elsevier. Annotation ©2014 Book News, Inc., Portland, OR (booknews.com)

Written by leading multiphase flow and CFD experts, this book enables engineers and researchers to understand the use of population balance modeling and computational fluid dynamics frameworks. Population balance approaches can now be used in conjunction with CFD, effectively driving more efficient and effective multiphase flow processes. Engineers familiar with standard CFD software including Ansys-CFX and -Fluent will be able to use the tools and approaches presented in this book in the effective research, modeling and control of multiphase flow problems.

  • Builds a complete understanding of the theory behind the application of population balance models and an appreciation of the scale-up of CFD and PBM to a variety of engineering and industry applications in chemical, pharma, energy and petrochem sectors.

  • The tools in this book provide the opportunity to incorporate more accurate models in the design of chemical and particulate based multiphase processes.

  • Enables readers to translate theory to practical use with CFD software.


Written by leading multiphase flow and CFD experts, this book enables engineers and researchers to understand the use of PBM and CFD frameworks. Population balance approaches can now be used in conjunction with CFD, effectively driving more efficient and effective multiphase flow processes. Engineers familiar with standard CFD software, including ANSYS-CFX and ANSYS-Fluent, will be able to use the tools and approaches presented in this book in the effective research, modeling and control of multiphase flow problems.

  • Builds a complete understanding of the theory behind the application of population balance models and an appreciation of the scale-up of computational fluid dynamics (CFD) and population balance modeling (PBM) to a variety of engineering and industry applications in chemical, pharmaceutical, energy and petrochemical sectors
  • The tools in this book provide the opportunity to incorporate more accurate models in the design of chemical and particulate based multiphase processes
  • Enables readers to translate theory to practical use with CFD software

Muu info

Demonstrates practical scale-up computations for industrial multiphase flow problems
Preface ix
Foreword xi
Acknowledgments xiii
Introduction xv
Chapter 1 Introduction 1(16)
1.1 Classification and Application of Multiphase Flows
1(1)
1.2 Complexity of Multiphase Flows
2(3)
1.3 Multiscale Characteristics of Multiphase Flows
5(7)
1.4 Need of Population Balance Modeling for Multiphase Flows
12(1)
1.5 Scope of this Book
13(4)
Chapter 2 Computational Multiphase Fluid Dynamics Framework 17(52)
2.1 Eulerian Formulation Based on Interpenetrating Media Framework
17(26)
2.1.1 Mass Conservation
19(4)
2.1.2 Momentum Conservation
23(4)
2.1.3 Energy Conservation
27(7)
2.1.4 Physical Description of Interfacial Exchange Terms
34(3)
2.1.5 Effective Conservation Equations
37(6)
2.2 Lagrangian Description on Discrete Element Framework
43(16)
2.2.1 Equations of Motion
43(1)
2.2.2 Fluid-Particle Interaction (Forces Related to Fluid Acting on Particle One-Way, Two-Way Coupling)
44(5)
2.2.3 Particle-Particle Interaction (Four-Way Coupling Concept: Collisions and Turbulent Dispersion of Particles)
49(10)
2.3 Differential, Generic and Integral Form of the Transport Equations for Multiphase Flow
59(3)
2.4 Boundary Conditions for Multiphase Flow
62(5)
2.5 Summary
67(2)
Chapter 3 Population Balance Approach-A Generic Framework 69(22)
3.1 What is a Population Balance Approach?
69(1)
3.2 Basic Definitions
70(3)
3.2.1 Coordinate System and Density Function
70(1)
3.2.2 Particle State Vector
71(1)
3.2.3 Continuous Phase Vector
72(1)
3.2.4 Rate of Change of Particle State Vector and Particle State Continuum
72(1)
3.3 Fundamentals of Population Balance Equation
73(12)
3.3.1 Basic Consideration
73(4)
3.3.2 Various Integrated Forms of Transport Equations
77(3)
3.3.3 Breakage/Break up Processes
80(2)
3.3.4 Aggregation/Coalescence Processes
82(2)
3.3.5 Net Generation of Particles
84(1)
3.4 Practical Considerations of Population Balance Framework
85(2)
3.5 Comments on the Coupling Between Population Balance and Computational Multiphase Fluid Dynamics
87(2)
3.6 Summary
89(2)
Chapter 4 Mechanistic Models for Gas-Liquid/Liquid-Liquid Flows 91(46)
4.1 Introduction
91(1)
4.2 Mechanisms and Kernels of Fluid Particle Coalescence
92(22)
4.2.1 Collision Frequency due to Turbulent Fluctuation and Random Collision
94(4)
4.2.2 Collision Frequency due to Wake Entrainment
98(5)
4.2.3 Collision Frequency due to Other Mechanisms
103(2)
4.2.4 Coalescence Efficiency due to Film Drainage Model
105(7)
4.2.5 Coalescence Efficiency due to Energy Model
112(1)
4.2.6 Coalescence Efficiency due to Critical Approach Velocity Model
113(1)
4.3 Mechanisms and Kernels of Fluid Particle Break up
114(19)
4.3.1 Break up due to Turbulent Shearing
115(12)
4.3.2 Break up due to Viscous Shear Force
127(1)
4.3.3 Break up due to Interfacial Instability and Shearing Off
128(1)
4.3.4 Comments on Daughter Particle Size Distribution
128(5)
4.4 Mechanisms and Kernels of Fluid Particle Coalescence and Break up for One-Group, Two-Group and Multigroup for Mulation
133(3)
4.5 Summary
136(1)
Chapter 5 Mechanistic Models for Gas-Particle Liquid-Particle Flows 137(32)
5.1 Introduction
137(1)
5.2 Mechanisms and Kernel Models of Solid Particle Aggregation
138(6)
5.2.1 Aggregation due to Interparticle Collision
139(5)
5.3 Mechanisms and Kernel Models of Solid Particle Breakage
144(6)
5.3.1 Breakage due to Hydrodynamic Stresses
145(3)
5.3.2 Breakage due to Other Mechanisms
148(2)
5.4 Discrete Element Method-Soft-Sphere Model
150(17)
5.4.1 Particle-Particle Interaction without Adhesion
151(8)
5.4.2 Particle-Particle Interaction due to Adhesion
159(8)
5.5 Summary
167(2)
Chapter 6 Solution Methods and Turbulence Modeling 169(94)
6.1 Introduction
169(1)
6.2 Solution Methods for Eulerian Models
170(2)
6.3 Mesh Systems
172(5)
6.4 Numerical Discretization
177(22)
6.4.1 Finite Volume Method
177(7)
6.4.2 Basic Approximation of the Diffusion Term
184(2)
6.4.3 Basic Approximation of Advection Term
186(5)
6.4.4 Basic Approximation of Time-Advancing Solutions
191(3)
6.4.5 Algebraic Form of Discretized Equations
194(5)
6.5 Numerical Solvers
199(19)
6.5.1 Iterative Calculations for the Segregated Approach
199(4)
6.5.2 Application of IPSA or IPSA-C for the Segregated Approach
203(7)
6.5.3 Comments on Matrix Solvers
210(7)
6.5.4 Coupled Equation System
217(1)
6.6 Solution Methods for Population Balance Equation
218(16)
6.6.1 Class Method
219(4)
6.6.2 Standard Method of Moments
223(5)
6.6.3 Numerical Quadrature
228(5)
6.6.4 Other Population Balance Methods
233(1)
6.7 Solution Methods for Lagrangian Models
234(10)
6.7.1 Molecular Dynamics
235(3)
6.7.2 Brownian Dynamics
238(2)
6.7.3 Discrete Element Method
240(4)
6.8 Turbulence Modeling for Multiphase Flows
244(17)
6.8.1 Reynolds-Averaged Equations and Closure
244(9)
6.8.2 Large Eddy Simulation
253(8)
6.9 Summary
261(2)
Chapter 7 Some Applications of Population Balance with Examples 263(66)
7.1 Introduction
263(1)
7.2 Population Balance Solutions to Gas-Liquid Flow
264(34)
7.2.1 Background
264(1)
7.2.2 Modeling Interfacial Momentum Transfer for Gas-Liquid Flow
264(7)
7.2.3 Worked Examples
271(27)
7.3 Population Balance Solutions to Liquid-Liquid Flow
298(10)
7.3.1 Background
298(1)
7.3.2 Multiblock Model for Heterogeneous Turbulent Flow Structure in a Stirred Tank
299(4)
7.3.3 Worked Example
303(5)
7.4 Population Balance Solutions to Gas-Particle Flow
308(9)
7.4.1 Background
308(2)
7.4.2 Modeling Gas-Particle Flow via Direct Quadrature Method of Moment Multifluid Model
310(2)
7.4.3 Worked Example
312(5)
7.5 Population Balance Solutions to Liquid-Particle Flow
317(9)
7.5.1 Background
317(2)
7.5.2 Modeling Liquid-Particle Flow via Quadrature Method of Moment
319(2)
7.5.3 Worked Example
321(5)
7.6 Summary
326(3)
Chapter 8 Future of the Population Balance Approach 329(10)
8.1 Introduction
329(1)
8.2 Emerging Areas on the Use of the Population Balance Approach
329(8)
8.2.1 Natural and Biological Systems
329(3)
8.2.2 Bulk Attrition
332(2)
8.2.3 Crystallization
334(2)
8.2.4 Synthesis of Nanoparticles
336(1)
8.3 Summary
337(2)
References 339(14)
Index 353
Guan Heng Yeoh is a professor at the School of Mechanical and Manufacturing Engineering, UNSW, and a principal research scientist at ANSTO. He is the founder and editor of the Journal of Computational Multiphase Flows and the group leader of Computational Thermal-Hydraulics of OPAL Research Reactor, ANSTO. He has approximately 250 publications including 10 books, 12 book chapters, 156 journal articles and 115 conference papers with an H-index of 33 and over 4490 citations. His research interests are computational fluid dynamics (CFD); numerical heat and mass transfer; turbulence modelling using Reynolds averaging and large eddy simulation; combustion, radiation heat transfer, soot formation and oxidation, and solid pyrolysis in fire engineering; fundamental studies in multiphase flows: free surface, gas-particle, liquid-solid (blood flow and nanoparticles), and gas-liquid (bubbly, slug/cap, churn-turbulent, and subcooled nucleate boiling flows); computational modelling of industrial systems of single-phase and multiphase flows. Senior Lecturer, Royal Melbourne Institute Technology (RMIT) University, Australia Jiyuan Tu is Professor and Deputy Head, Research and Innovation, Department of Aerospace, Mechanical and Manufacturing Engineering, at Royal Melbourne Institute of Technology (RMIT) University, Australia. Professor Tus research interests are in the areas of computational fluid dynamics (CFD) and numerical heat transfer (NHT), computational and experimental modelling of multiphase flows, fluid-structure interaction, optimal design of drug delivery devices, and simulation of blood flow in arteries.
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