Multiphase Flow Analysis Using Population Balance Modeling

Multiphase Flow Analysis Using Population Balance Modeling

Bubbles, Drops and Particles

1st Edition - August 19, 2013

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  • Authors: Guan Heng Yeoh, Dr Chi Pok Cheung, Jiyuan Tu
  • Hardcover ISBN: 9780080982298
  • eBook ISBN: 9780080982335

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Description

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.

Key Features

  • 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

Readership

Practicing and R&D level engineers, graduate level researchers and students. Chemical and Process Engineering, Food and Pharmaceutical, Civil Engineering, Mechanical Engineering, Mining Engineering, Petroleum Engineering

Table of Contents

  • Preface

    Foreword

    Acknowledgments

    Introduction

    Chapter 1. Introduction

    Abstract

    1.1 Classification and Application of Multiphase Flows

    1.2 Complexity of Multiphase Flows

    1.3 Multiscale Characteristics of Multiphase Flows

    1.4 Need of Population Balance Modeling for Multiphase Flows

    1.5 Scope of this Book

    Chapter 2. Computational Multiphase Fluid Dynamics Framework

    Abstract

    2.1 Eulerian Formulation Based on Interpenetrating Media Framework

    2.2 Lagrangian Description on Discrete Element Framework

    2.3 Differential, Generic and Integral Form of the Transport Equations for Multiphase Flow

    2.4 Boundary Conditions for Multiphase Flow

    2.5 Summary

    Chapter 3. Population Balance Approach—A Generic Framework

    Abstract

    3.1 What is a Population Balance Approach?

    3.2 Basic Definitions

    3.3 Fundamentals of Population Balance Equation

    3.4 Practical Considerations of Population Balance Framework

    3.5 Comments on the Coupling Between Population Balance and Computational Multiphase Fluid Dynamics

    3.6 Summary

    Chapter 4. Mechanistic Models for Gas–Liquid/Liquid–Liquid Flows

    Abstract

    4.1 Introduction

    4.2 Mechanisms and Kernels of Fluid Particle Coalescence

    4.3 Mechanisms and Kernels of Fluid Particle Break up

    4.4 Mechanisms and Kernels of Fluid Particle Coalescence and Break up for One-group, Two-group and Multigroup Formulation

    4.5 Summary

    Chapter 5. Mechanistic Models for Gas–Particle Liquid–Particle Flows

    Abstract

    5.1 Introduction

    5.2 Mechanisms and Kernel Models of Solid Particle Aggregation

    5.3 Mechanisms and Kernel Models of Solid Particle Breakage

    5.4 Discrete Element Method—Soft-Sphere Model

    5.5 Summary

    Chapter 6. Solution Methods and Turbulence Modeling

    Abstract

    6.1 Introduction

    6.2 Solution Methods for Eulerian Models

    6.3 Mesh Systems

    6.4 Numerical Discretization

    6.5 Numerical Solvers

    6.6 Solution Methods for the Population Balance Equation

    6.7 Solution Methods for Lagrangian Models

    6.8 Turbulence Modeling for Multiphase Flows

    6.9 Summary

    Chapter 7. Some Applications of Population Balance with Examples

    Abstract

    7.1 Introduction

    7.2 Population Balance Solutions to Gas–Liquid Flow

    7.3 Population Balance Solutions to Liquid–Liquid Flow

    7.4 Population Balance Solutions to Gas–Particle Flow

    7.5 Population Balance Solutions to Liquid–Particle Flow

    7.6 Summary

    Chapter 8. Future of the Population Balance Approach

    Abstract

    8.1 Introduction

    8.2 Emerging Areas on the Use of the Population Balance Approach

    8.3 Summary

    References

    Index

Product details

  • No. of pages: 384
  • Language: English
  • Copyright: © Butterworth-Heinemann 2013
  • Published: August 19, 2013
  • Imprint: Butterworth-Heinemann
  • Hardcover ISBN: 9780080982298
  • eBook ISBN: 9780080982335

About the Authors

Guan Heng Yeoh

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.

Affiliations and Expertise

Professor, Mechanical Engineering (CFD), University of New South Wales, Sydney, Australian Nuclear Science and Technology Organisation, University of New South Wales, Australia

Dr Chi Pok Cheung

Senior Lecturer, Royal Melbourne Institute Technology (RMIT) University, Australia

Affiliations and Expertise

Royal Melbourne Institute Technology (RMIT) University, Australia

Jiyuan Tu

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 Tu’s 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.

Affiliations and Expertise

RMIT University, Australia, University of New South Wales, Australia, Tsinghua University, P.R. China

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  • DanielPierrat Sun Jan 20 2019

    Multiphase flow analysis using population

    Multiphase flow analysis using population balance modeling