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Front Cover
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Computational Techniques For Multi-Phase Flows
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Copyright Page
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Contents
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Preface
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Chapter 1. Introduction
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1.1 CLASSIFICATION AND PHENOMENOLOGICAL DISCUSSION
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1.2 TYPICAL PRACTICAL PROBLEMS INVOLVING MULTI-PHASE FLOWS
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1.3 COMPUTATIONAL FLUID DYNAMICS AS A RESEARCH TOOL FOR MULTI-PHASE FLOWS
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1.4 COMPUTATIONAL FLUID DYNAMICS AS A DESIGN TOOL FOR MULTI-PHASE FLOWS
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1.5 IMPACT OF MULTI-PHASE FLOW STUDY ON COMPUTATIONAL FLUID DYNAMICS
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1.6 SCOPE OF THE BOOK
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Chapter 2. Governing Equations and Boundary Conditions
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2.1 BACKGROUND OF DIFFERENT APPROACHES
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2.2 AVERAGING PROCEDURE FOR MULTI-PHASE FLOW
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2.3 EQUATIONS OF MOTION FOR CONTINUOUS PHASE
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2.3.1 Conservation of Mass
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2.3.2 Conservation of Momentum
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2.3.3 Conservation of Energy
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2.3.4 Interfacial Transport
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2.3.5 Effective Conservation Equations
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2.4 COMMENTS AND OBSERVATIONS ON THE GOVERNING EQUATIONS FOR THE TWO-FLUID MODELLING APPROACH
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2.5 EQUATIONS OF MOTION FOR DISPERSE PHASE
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2.6 TURBULENCE IN TRANSPORT PHENOMENA
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2.6.1 Reynolds-Averaged Equations
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2.6.2 Reynolds-Averaged Closure
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2.6.3 Some Comments on the k–ε Model and Implications of Other Turbulence Models
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2.6.3.1 Shear Stress Transport (SST) Model
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2.6.3.2 Reynolds Stress Model
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2.6.3.3 Near-Wall Treatment
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2.6.4 Some Comments on Turbulence Modelling of the Disperse Phase
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2.7 DIFFERENTIAL AND INTEGRAL FORM OF THE TRANSPORT EQUATIONS
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2.7.1 A Comment on Multi-Fluid Model
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2.8 BOUNDARY CONDITIONS AND THEIR PHYSICAL INTERPRETATION
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2.8.1 Comments on Some Wall Boundary Conditions for Multi-Phase Problems
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2.9 SUMMARY
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Chapter 3. Solution Methods for Multi-Phase Flows
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3.1 INTRODUCTION
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3.2 MESH SYSTEMS: CONSIDERATION FOR A RANGE OF MULTI-PHASE FLOW PROBLEMS
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3.2.1 Application of Structured Mesh
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3.2.2 Application of Body-Fitted Mesh
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3.2.3 Application of Unstructured Mesh
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3.2.4 Some Comments on Grid Generation
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3.3 EULERIAN–EULERIAN FRAMEWORK: NUMERICAL ALGORITHMS
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3.3.1 Basic Aspects of Discretization – Finite Difference Method
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3.3.2 Basic Aspects of Discretization – Finite-Volume Method
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3.3.3 Basic Approximation of the Diffusion Term Based upon the Finite-Volume Method
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3.3.4 Basic Approximation of the Advection Term Based upon the Finite-Volume Method
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3.3.5 Some Comments on the Need for TVD Schemes
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3.3.6 Explicit and Implicit Approaches
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3.3.7 Assembly of Discretized Equations
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3.3.8 Comments on the Linearization of Source Terms
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3.4 SOLUTION ALGORITHMS
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3.4.1 The Philosophy Behind the Pressure-Correction Techniques for Multi-Phase Problems
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3.4.1.1 SIMPLE Algorithm for Mixture or Homogeneous Flows
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3.4.1.2 A Comment on Other Pressure-Correction Methods
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3.4.1.3 Evaluation of the Face Velocity in Different Mesh Systems
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3.4.1.4 Iterative Procedure Based on the SIMPLE Algorithm
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3.4.1.5 IPSA for Multi-Phase Flows
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3.4.1.6 IPSA-C for Multi-Phase Flows
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3.4.1.7 Comments on the Need for Improved Interpolation Methods of Evaluating the Face Velocity in Multi-Phase Problems
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3.4.2 Matrix Solvers for the Segregated Approach in Different Mesh Systems
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3.4.3 Coupled Equation System
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3.5 EULERIAN–LAGRANGIAN FRAMEWORK: NUMERICAL AND SOLUTION ALGORITHMS
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3.5.1 Basic Numerical Techniques
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3.5.2 Comments on Sampling Particulates for Turbulent Dispersion
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3.5.3 Some Comments on Attaining Proper Statistical Realizations
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3.5.4 Evaluation of Source Terms for the Continuous Phase
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3.6 INTERFACE-TRACKING/CAPTURING ALGORITHMS: BASIC CONSIDERATIONS OF INTERFACE-TRACKING/CAPTURING METHODS
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3.6.1 Algorithms Based on Surface Methods: with Comments
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3.6.1.1 Markers on Interface (Surface Marker Techniques)
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3.6.1.2 Surface-Fitted Method
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3.6.2 Algorithms Based on Volume Methods: with Comments
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3.6.2.1 Markers in Fluid (MAC Formulation)
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3.6.2.2 Volume of Fluid (VOF)
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3.6.2.3 Level Set Method
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3.6.2.4 Hybrid Methods
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3.6.3 Computing Surface Tension and Wall Adhesion
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3.7 SUMMARY
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Chapter 4. Gas–Particle Flows
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4.1 INTRODUCTION
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4.1.1 Background
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4.1.2 Classification of Gas–Particle Flows
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4.1.3 Particle Loading and Stokes Number
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4.1.4 Particle Dispersion Due to Turbulence
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4.2 MULTI-PHASE MODELS FOR GAS–PARTICLE FLOWS
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4.2.1 Eulerian–Lagrangian Framework
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4.2.2 Eulerian–Eulerian Framework
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4.2.3 Turbulence Modelling
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4.2.3.1 Gas Phase
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4.2.3.2 Particle Phase in Lagrangian Reference Frame
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4.2.3.3 Particle Phase in Eulerian Reference Frame
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4.2.4 Particle–Wall Collision Model
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4.2.4.1 Lagrangian Reference Frame
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4.2.4.2 Eulerian Reference Frame
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4.3 WORKED EXAMPLES
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4.3.1 Dilute Gas–Particle Flow over a Two-Dimensional Backwards Facing Step
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4.3.1.1 Numerical Features
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4.3.1.2 Numerical Results
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4.3.1.3 Conclusion
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4.3.2 Dilute Gas–Particle Flow in a Three-Dimensional 90° Bend
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4.3.2.1 Numerical Features
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4.3.2.2 Numerical Results
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4.3.2.3 Conclusion
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4.3.3 Dilute Gas–Particle Flow Over an In-Line Tube Bank
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4.3.3.1 Numerical Features
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4.3.3.2 Numerical Results
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4.3.3.3 Conclusion
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4.4 SUMMARY
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Chapter 5. Liquid–Particle Flows
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5.1 INTRODUCTION
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5.1.1 Background
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5.1.2 Some Physical Characteristics of Flow in Sedimentation Tank
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5.1.3 Some Physical Characteristics of Slurry Transport
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5.2 MULTI-PHASE MODELS FOR LIQUID–PARTICLE FLOWS
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5.2.1 Mixture Model
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5.2.1.1 Modelling Source or Sink Terms for Flow in Sedimentation Tank
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5.2.1.2 Modelling Source or Sink Terms for Flow in Slurry Transportation
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5.2.2 Turbulence Modelling
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5.3 WORKED EXAMPLES
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5.3.1 Liquid–Particle Flows in Sedimentation Tank
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5.3.1.1 Numerical Features
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5.3.1.2 Numerical Results
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5.3.1.3 Conclusion
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5.3.2 Sand–Water Slurry Flow in a Horizontal Straight Pipe
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5.3.2.1 Numerical Features
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5.3.2.2 Numerical Results
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5.3.2.3 Conclusion
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5.4 SUMMARY
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Chapter 6. Gas–Liquid Flows
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6.1 INTRODUCTION
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6.1.1 Background
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6.1.2 Categorization of Different Flow Regimes
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6.1.3 Some Physical Characteristics of Boiling Flow
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6.2 MULTI-PHASE MODELS FOR GAS–LIQUID FLOWS
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6.2.1 Multi-Fluid Model
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6.2.1.1 Inter-Phase Mass Transfer
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6.2.1.2 Inter-Phase Momentum Transfer
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6.2.1.3 Inter-Phase Heat Transfer
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6.2.2 Turbulence Modelling
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6.3 POPULATION BALANCE APPROACH
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6.3.1 Need for Population Balance in Gas–Liquid Flows
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6.3.2 Population Balance Equation (PBE)
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6.3.3 Method of Moments (MOM)
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6.3.3.1 Quadrature Method of Moments (QMOM)
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6.3.3.2 Direct Quadrature Method of Moments (DQMOM)
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6.3.4 Class Methods (CM)
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6.3.4.1 Average Quantities Approach
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6.3.4.2 Multiple Size Group Model
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6.4 BUBBLE INTERACTION MECHANISMS
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6.4.1 Single Average Scalar Approach for Bubbly Flows
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6.4.1.1 Wu et al. (1998) Model
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6.4.1.2 Hibiki and Ishii (2002) Model
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6.4.1.3 Yao and Morel (2004) Model
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6.4.2 Multiple Bubble Size Approach for Bubbly Flows
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6.4.2.1 DQMOM Model
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6.4.2.2 MUSIG Model
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6.4.3 Comments of Other Coalescence and Break-Up Kernels
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6.4.4 Modelling Beyond Bubbly Flows – A Phenomenological Consideration
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6.5 MODELLING SUB-COOLED BOILING FLOWS
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6.5.1 Review of Current Model Applications
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6.5.2 Phenomenological Description
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6.5.3 Nucleation of Bubbles at Heated Walls
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6.5.4 Condensation of Bubbles in Sub-Cooled Liquid
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6.6 WORKED EXAMPLES
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6.6.1 Dispersed Bubbly Flow in a Rectangular Column
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6.6.1.1 Numerical Features
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6.6.1.2 Numerical Results
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6.6.1.3 Conclusion
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6.6.2 Bubbly Flow in a Vertical Pipe
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6.6.2.1 Numerical Features
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6.6.2.2 Numerical Results
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6.6.2.3 Conclusion
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6.6.3 Sub-Cooled Boiling Flow in a Vertical Annulus
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6.6.3.1 Application of MUSIG Boiling Model
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6.6.3.2 Application of Improved Wall Heat Partition Model
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6.7 SUMMARY
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Chapter 7. Free Surface Flows
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7.1 INTRODUCTION
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7.2 MULTI-PHASE MODELS FOR FREE SURFACE FLOWS
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7.3 RELEVANT WORKED EXAMPLES
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7.3.1 Bubble Rising in a Viscous Liquid
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7.3.1.1 Numerical Features
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7.3.1.2 Numerical Results
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7.3.1.3 Conclusion
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7.3.2 Single Taylor Bubble
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7.3.2.1 Numerical Features
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7.3.2.2 Numerical Results
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7.3.2.3 Conclusion
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7.3.3 Collapse of a Liquid Column (Breaking Dam Problem)
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7.3.3.1 Numerical Features
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7.3.3.2 Numerical Results
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7.3.3.3 Conclusion
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7.3.4 Sloshing of Liquid
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7.3.4.1 Numerical Features
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7.3.4.2 Numerical Results
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7.3.4.3 Similar Comparison for the Roll Motion Cases
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7.3.4.4 Conclusion
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7.4 SUMMARY
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Chapter 8. Freezing/Solidification
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8.1 INTRODUCTION
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8.2 MATHEMATICAL FORMULATION
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8.2.1 Governing Equations
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8.2.2 Solid–Liquid Interface
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8.2.3 Other Boundary Conditions
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8.3 NUMERICAL PROCEDURE
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8.3.1 Internal Grid Generation
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8.3.2 Surface Grid Generation
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8.3.3 Optimizing Computational Meshes
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8.3.3.1 Objective Function
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8.3.3.2 Optimization Algorithm
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8.3.4 Transformation of Governing Equations and Boundary Conditions
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8.4 WORKED EXAMPLES
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8.4.1 Freezing of Water on a Vertical Wall in an Enclosed Cubical Cavity
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8.4.1.1 Numerical Features
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8.4.1.2 Numerical Results
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8.4.1.3 Conclusion
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8.4.2 Freezing of Water in an Open Cubical Cavity
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8.4.2.1 Numerical Features
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8.4.2.2 Numerical Results
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8.4.2.3 Conclusion
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8.5 SUMMARY
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Chapter 9. Three-Phase Flows
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9.1 INTRODUCTION
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9.2 DESCRIPTION OF PROBLEM IN THE CONTEXT OF COMPUTATIONAL FLUID DYNAMICS
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9.3 MODELLING APPROACHES FOR GAS–LIQUID–SOLID FLOWS
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9.3.1 Three-Fluid Model
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9.3.2 Turbulence Modelling
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9.4 EVALUATION OF MULTI-PHASE MODELS FOR GAS–LIQUID–SOLID FLOWS
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9.4.1 Three-Phase Modelling of the Air-Lift Pump
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9.4.1.1 Numerical Features
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9.4.1.2 Numerical Results
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9.4.1.3 Conclusion
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9.4.2 Modelling of Three-Phase Mechanically Agitated Reactor
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9.4.2.1 Numerical Features
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9.4.2.2 Numerical Results
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9.4.2.3 Conclusion
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9.5 SUMMARY
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Chapter 10. Future Trends in Handling Turbulent Multi-Phase Flows
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10.1 INTRODUCTION
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10.2 DIRECT NUMERICAL SIMULATION OF MULTI-PHASE FLOWS
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10.2.1 Model Description
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10.3 LARGE EDDY SIMULATION OF MULTI-PHASE FLOWS
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10.3.1 Model Description
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10.3.1.1 Basic SGS Model
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10.3.1.2 Dynamics SGS Model
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10.4 ON MODELLING GAS–LIQUID–SOLID FLUIDIZATION
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10.4.1 Governing Equations
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10.4.2 Interface Tracking/Capturing Methods: with Comments
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10.4.3 Discrete Particle Model
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10.4.4 Particle–Particle Collision
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10.4.5 Inter-Phase Couplings
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10.4.6 Simulation Results
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10.5 SOME CONCLUDING REMARKS
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Appendix A. Full Derivation of Conservation Equations
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References
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Index
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A
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B
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C
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D
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E
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F
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G
648
H
650
I
650
J
651
K
651
L
651
M
651
N
652
O
653
P
653
Q
654
R
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S
654
T
656
U
657
V
657
W
658
Y
658
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