# Computational Techniques for Multiphase Flows

## 1st Edition

**Authors:**Guan Heng Yeoh Jiyuan Tu

**Hardcover ISBN:**9780080467337

**eBook ISBN:**9780080914893

**Imprint:**Butterworth-Heinemann

**Published Date:**6th October 2009

**Page Count:**664

## Description

Mixed or multiphase flows of solid/liquid or solid/gas are commonly found in many industrial fields, and their behavior is complex and difficult to predict in many cases. The use of computational fluid dynamics (CFD) has emerged as a powerful tool for the understanding of fluid mechanics in multiphase reactors, which are widely used in the chemical, petroleum, mining, food, beverage and pharmaceutical industries. This book enables scientists and engineers to the undertand the basis and application of CFD in muliphase flow, explains how to use the technique, when to use it and how to interpret the results and apply them to improving aplications in process enginering and other multiphase application areas including the pumping, automotive and energy sectors.

## Key Features

*Understandable guide to a complex subject
*Important in many industries
*Ideal for potential users of CFD

## Readership

chemical and mechanical engineers, especially in filtration, separation, gas/ liquid pumping, aerospace, automotive and energy industries.

## Table of Contents

Table of Contents

Preface

- Introduction
- Classification and Phenomenological Discussion
- Typical Practical Problems Involving Multiphase Flows
- Computational Fluid Dynamics as a Research Tool for Multiphase Flows
- Computational Fluid Dynamics as a Design Tool for Multiphase Flows
- Impact of Multiphase Flow Study on Computational Fluid Dynamics
- Scope of This Book
- Governing Equations and Boundary Conditions
- Background of Different Approaches
- Averaging Procedure for Multiphase Flow
- Equations of Motion for Continuous Phase
- Conservation of Mass
- Conservation of Momentum
- Conservation of Energy
- Interfacial Transport
- Effective Conservation Equations
- Comments and Observations on the Governing Equations for the Two-Fluid Modeling Approach
- Equations of Motion for Disperse Phase
- Turbulence in Transport Phenomena
- Reynolds-Averaged Equations
- Reynolds-Averaged Closure
- Some Comments on the k-e Model and Implications of Other Turbulence Models
- Shear Stress Transport (SST) Model
- Reynolds Stress Model
- Near Wall Treatment
- Comments on Turbulence Modeling of the Disperse Phase
- Differential and Integral Form of the Transport Equations
- A Comment on Multi-Fluid Model
- Boundary Conditions and Their Physical Interpretation
- Comments on Some Wall Boundary Conditions for Multiphase Problems
- Summary
- Solution Methods for Multiphase Flows
- Introduction
- Consideration for a Range of Multiphase Flow Problems
- Application of Structured Mesh
- Application of Body-Fitted Mesh
- Application of Unstructured Mesh
- Some Comments on Grid Generation
- Numerical Algorithms
- Basic Aspects of Discretisation – Finite Difference Method
- Basic Aspects of Discretisation – Finite Volume Method
- Basic Approximation of the Diffusion Term Based Upon the Finite Volume Method
- Basic Approximation of the Advection Term Based Upon the Finite Volume Method
- Some Comments on the Need for TVD Schemes
- Explicit and Implicit Approaches
- Assembly of Discretised Equations
- Comments on the Linearization of Source Terms
- Solution Algorithms
- The Philosophy Behind the Pressure-Correction Techniques for Multiphase Problems
- SIMPLE Algorithm for Mixture or Homogeneous Flows
- A Comment on Other Pressure Correction Methods
- Evaluation of the Face Velocity in Different Mesh Systems
- Iterative Procedure Based on the SIMPLE Algorithm
- Inter-Phase Slip Algorithm (IPSA) for Multiphase Flows
- Inter-Phase Slip Algorithm-Coupled (IPSA-C) for Multiphase Flows
- Comments on the Need for Improved Interpolation Methods of Evaluating the Face Velocity in Multiphase Problems
- Matrix Solvers for the Segregated Approach in Different Mesh Systems
- Coupled Equation System
- Numerical and Solution Algorithms
- Basic Numerical Techniques
- Comments on Sampling Particulates for Turbulent Dispersion
- Some Comments on Attaining Proper Statistical Realizations
- Evaluation of Source Terms for the Continuous Phase
- Basic Considerations of Interface Tracking/Capturing Methods
- Algorithms Based on Surface Methods: With Comments
- Markers on Interface (Surface Marker Techniques)
- Algorithms Based on Volume Methods: With Comments
- Markers in Fluid (MAC Formulation)
- Volume of Fluid (VOF)
- Level Set Method
- Hybrid Methods
- Computing Surface Tension and Wall Adhesion
- Summary
- Gas-Particle Flows
- Introduction
- Background
- Classification of Gas-Particle Flows
- Particle Loading and Stokes Number
- Particle Dispersion due to Turbulence
- Multiphase Models for Gas-Particle Flows
- Eulerian-Lagrangian Framework
- Eulerian-Eulerian Framework
- Turbulence Modeling
- Particle-Wall Collision Model
- Worked Examples
- Dilute Gas-Particle Flow over a Two-Dimensional Backward Facing Step
- Dilute Gas-Particle Flow over a Three-Dimensional 90o Bend
- Dilute Gas-Particle Flow over an Inline Tube Bank
- Summary
- Liquid-Particle Flows
- Introduction
- Background
- Some Physical Characteristics of Flow in Sedimentation Tank
- Some Physical Characteristics of Flow in Slurry Transport
- Multiphase Models for Liquid-Particle Flows
- Mixture Model
- Modeling Source or Sink Terms for Flow in Sedimentation Tank
- Modeling Source or Sink Terms for Flow in Slurry Transportation
- Turbulence Modeling
- Worked Examples
- Liquid-Particle Flow in Sedimentation Tank
- Sand-Water Slurry Flow in a Horizontal Straight Pipe
- Summary
- Gas-Liquid Flows
- Introduction
- Background
- Categorization of Different Flow Regimes
- Some Physical Characteristics of Boiling Flow
- Multiphase Models for Liquid-Particle Flows
- Multi-Fluid Model
- Inter-phase Mass Transfer
- Inter-phase Momentum Transfer
- Inter-phase Heat Transfer
- Turbulence Modeling
- Population Balance Approach
- Need for Population Balance in Gas-Liquid Flows
- Population Balance Equation (PBE)
- Method of Moments (MOM)
- Quadrature Method of Moments (QMOM)
- Direct Quadrature Method of Moments (DQMOM)
- Class Methods (CM)
- Average Quantities Approach
- MUltiple SIze Group (MUSIG) Model
- Bubble Interaction Mechanisms
- Single Average Scalar Approach for Bubbly Flows
- Multiple Bubble Size Approach for Bubbly Flows
- Comments of Other Coalescence and Break-up Kernels
- Modeling Beyond Bubbly Flows – A Phenomenological Consideration
- Modeling Subcooled Boiling Flows
- Review of Current Model Applications
- Phenomenological Description
- Nucleation of Bubbles at Heated Walls
- Condensation of Bubbles in Subcooled Liquid
- Worked Examples
- Dispersed Bubbly Flow in a Rectangular Column
- Bubbly Flow in a Vertical Pipe
- Subcooled Boiling Flow in a Vertical Annulus
- Application of MUSIG Boiling Model
- Application of Improved Wall Heat Partition Model
- Summary
- Free Surface Flows
- Introduction
- Multiphase Models for Free Surface Flows
- Relevant Worked Examples
- Bubble Rising in a Viscous Liquid
- Single Taylor Bubble
- Collapse of a Liquid Column (Breaking Dam Problem)
- Sloshing of Liquid
- Summary
- Freezing/Solidification
- Introduction
- Mathematical Formulation
- Governing Equations
- Solid-Liquid Interface
- Other Boundary Conditions
- Numerical Procedure
- Internal Grid Generation
- Surface Grid Generation
- Optimizing Computational Meshes
- Objective Function
- Optimization Algorithm
- Transformation of Governing Equations and Boundary Conditions
- Worked Examples
- Freezing of Water on a Vertical Wall in an Enclosed Cavity
- Freezing of Water in an Open Cubical Cavity
- Summary
- Three-Phase Flows
- Introduction
- Description of Problem in the Context of Computational Fluid Dynamics
- Modeling Approaches for Gas-Liquid-Solid Flows
- Three-Fluid Model
- Turbulence Modeling
- Evaluation of Multiphase Models for Gas-Liquid-Solid Flows
- Three-Phase Modeling of the Air Lift Pump
- Modeling of Three-Phase Mechanically Agitated Reactor
- Summary
- Future Trends in Handling Turbulent Multiphase Flows
- Introduction
- Direct Numerical Simulation of Multiphase Flows
- Model Description
- Large Eddy Simulation of Multiphase Flows
- Model Description
- Basic Sub-Grid Scale Model
- Dynamic Sub-Grid Scale Model
- On Modeling Gas-Liquid-Solid Fluidization
- Governing Equations
- Interface Tracking/Capturing methods: With Comments
- Discrete Particle Model
- Particle-Particle Collision
- Inter-Phase Couplings
- Simulation Results
- Some Concluding Remarks

MESH SYSTEMS

EULERIAN-EULERIAN FRAMEWORK

EULERIAN-LAGRANGIAN FRAMEWORK

INTERFACE TRACKING/CAPTURING ALGORITHMS

Appendix A Full Derivation of Conservation Equations

References

Subject Index

## Details

- No. of pages:
- 664

- Language:
- English

- Copyright:
- © Butterworth-Heinemann 2009

- Published:
- 6th October 2009

- Imprint:
- Butterworth-Heinemann

- eBook ISBN:
- 9780080914893

- Hardcover ISBN:
- 9780080467337

## About the Author

### Guan Heng Yeoh

Guan Heng Yeoh is an Associate Professor at the School of Mechanical and Manufacturing Engineering, UNSW, and a Senior 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 180 publications including 7 books, 10 book chapters, 83 journal articles, and 80 conference papers with an H-index 16 and over 800 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.

### Affiliations and Expertise

Australian Nuclear Science and Technology Organisation

### Jiyuan Tu

### Affiliations and Expertise

Professor of Computational Fluid Dynamics, School of Aerospace, Mechanical and Manufacturing Engineering, RMIT University, Australia