Modeling and Simulation of Multiphase and Reactive Flows
From Fundamentals to Engineering Applications
- 1st Edition - November 1, 2026
- Latest edition
- Authors: Yu Lv, Bing Wang, Zheng Qiao, John A. Ekaterinaris
- Language: English
Modeling and Simulation of Multiphase and Reactive Flows offers integrated coverage of state-of-the-art advancements in the study of computational fluid dynamics. It accomp… Read more
Description
Description
Modeling and Simulation of Multiphase and Reactive Flows offers integrated coverage of state-of-the-art advancements in the study of computational fluid dynamics. It accompanies readers on a pedagogically progressive journey that exposes them first to the fundamental physics of multicomponent flows and then moves on to more advanced topics in a number of target applications of current interest, with particular emphasis on aerospace, automotive, thermal, and nuclear engineering.
A wide spectrum of flows including bubbly flows, liquid atomization, cavitation, chemically reactive flows, spray combustion, hypersonic flows, and detonation motion are discussed. Further cognizance of how to control and manipulate these phenomena is enabled by leveraging powerful technologies for numerical modeling and simulation techniques, with worked-out computational exercises and sample case studies also being featured to encourage practical endeavors to promisingly enhance the performance of many propulsion and energy systems.
Researchers both in academia and industry, students in advanced programs, and a host of other technical audiences at all levels will think of this volume as a resource of critical significance to improve the accuracy and efficiency of the analysis of complex, multi-physical flows, which play a crucial role in stimulating newer and better solutions for innovative scientific endeavors and practices.
A wide spectrum of flows including bubbly flows, liquid atomization, cavitation, chemically reactive flows, spray combustion, hypersonic flows, and detonation motion are discussed. Further cognizance of how to control and manipulate these phenomena is enabled by leveraging powerful technologies for numerical modeling and simulation techniques, with worked-out computational exercises and sample case studies also being featured to encourage practical endeavors to promisingly enhance the performance of many propulsion and energy systems.
Researchers both in academia and industry, students in advanced programs, and a host of other technical audiences at all levels will think of this volume as a resource of critical significance to improve the accuracy and efficiency of the analysis of complex, multi-physical flows, which play a crucial role in stimulating newer and better solutions for innovative scientific endeavors and practices.
Key features
Key features
- Covers fluid dynamics and its modeling comprehensively and in-depth to ground understanding of key characteristics and behaviors of multi-component flows
- Fosters a case-based learning approach to survey all relevant types of fluid flows and their engineering applications, investigating common issues and remedies through helpful computational methods
- Is accompanied by a MATLAB toolbox that visualizes high-fidelity simulation results
Readership
Readership
Advanced undergraduate and postgraduate students, academics, and researchers in aerospace engineering; automotive engineering; applied mechanical engineering; oil & gas engineering; nuclear engineering
Table of contents
Table of contents
PART 1: Basic Fluid Flow Physics
1. Physical Models of Multiphase/Multi-Component Flows
PART 2: Numerical Modeling Techniques
2. Basics of Discretization Schemes
3. Discretization Formulations and Numerical Algorithms
4. Interface Modeling
5. Spurious Numerical Solutions and Remedies
PART 3: Applications and Case Studies
6. Numerical Simulation of Bubbly Two-Phase Flow
7. Numerical Simulation of Shockwave-Interface Interaction
8. Numerical Simulation of Jet Atomization
9. Numerical Simulation of Cavitation Flow
10. Numerical Simulation of Turbulent Flame
11. Numerical Simulation of Hypersonic Aerodynamics
12. Numerical Simulation of Hypersonic Scramjet
13. Numerical Simulation of Detonation Engine
14. Simulations Based on SPH and LBM Models
PART 4: Summary and Perspectives
1. Physical Models of Multiphase/Multi-Component Flows
PART 2: Numerical Modeling Techniques
2. Basics of Discretization Schemes
3. Discretization Formulations and Numerical Algorithms
4. Interface Modeling
5. Spurious Numerical Solutions and Remedies
PART 3: Applications and Case Studies
6. Numerical Simulation of Bubbly Two-Phase Flow
7. Numerical Simulation of Shockwave-Interface Interaction
8. Numerical Simulation of Jet Atomization
9. Numerical Simulation of Cavitation Flow
10. Numerical Simulation of Turbulent Flame
11. Numerical Simulation of Hypersonic Aerodynamics
12. Numerical Simulation of Hypersonic Scramjet
13. Numerical Simulation of Detonation Engine
14. Simulations Based on SPH and LBM Models
PART 4: Summary and Perspectives
Product details
Product details
- Edition: 1
- Latest edition
- Published: November 1, 2026
- Language: English
About the authors
About the authors
YL
Yu Lv
Dr. Lv received his PhD from Stanford University in 2016. He worked as a Postdoc Research Fellow at the Center for Turbulence Research (Stanford University) before joining the Department of Aerospace Engineering of Mississippi State University. Since 2021, he has been an Associate Professor at the Institute of Mechanics, Chinese Academy of Sciences, Beijing China. His research is mainly focused on computational modeling of complex fluid flows.
Affiliations and expertise
Associate Professor, State Key Laboratory of Nonlinear Mechanics, Institute of Mechanics, Chinese Academy of Sciences, Beijing, ChinaBW
Bing Wang
Dr. Wang is a tenured professor of Aerospace Science and Technology & Fluid Mechanics at Tsinghua University. He graduated from the Department of Engineering Mechanics at Tsinghua University in 2000 and earned his doctorate in 2005. He was an Av Humboldt Visiting Scholar at the Technical University of Munich from 2006 to 2008. His research interests span from multiphase and reaction flow modeling, detonation propulsion, to artificial intelligence in aerospace science. He currently leads the Spray Combustion and Propulsion Laboratory and MOE Key Laboratory of Advanced Power and Propulsion and serves on the editorial boards of several top journals. Professor Wang is a prolific author and holds numerous patents. He has received several national science and technology awards and four international invention gold awards. He is an Associate Fellow of the AIAA and a TUM Ambassador.
Affiliations and expertise
Professor, Institute for Aero Engine, School of Aerospace Engineering, Tsinghua University, Beijing, ChinaZQ
Zheng Qiao
Dr. Qiao is currently a Research Scientist at the Institute of Mechanics, Chinese Academy of Sciences. He earned his PhD in 2020 from Mississippi State University, where he specialized in combustion instability, thermoacoustic, and computational fluid dynamics. Dr. Qiao is deeply committed to advancing combustion science, with a particular emphasis on turbulent combustion modeling and thermoacoustic instability. His research is dedicated to developing predictive models and innovative solutions aimed at controlling and mitigating instabilities in combustion systems.
Affiliations and expertise
Research Scientist, Institute of Mechanics, Chinese Academy of Sciences, Beijing, ChinaJE
John A. Ekaterinaris
Dr. Ekaterinaris received his MSc in Mechanical Engineering in 1982 and his PhD from the School of Aerospace Engineering in 1987, both at the Georgia Institute of Technology. Dr. Ekaterinaris has an outstanding academic career in aerospace engineering and was affiliated previously with NASA, FORTH/IACM, University of Patras and many other renowned institutes and organizations. He joined the faculty of Embry-Riddle Aeronautical University in 2012 where he is currently teaching and performing research. He serves as the Editor-in-Chief of Aerospace Science and Technology and the Associate Editor of Progress in Aerospace Sciences, both Elsevier high-impact journals. His interests are computational mechanics (including aerodynamics, magnetogasdynamics, electromagnetics, aeroacoustics, flow transition, turbulence research, and flow structure interaction), high order methods for PDEs, and more recently machine learning and uncertainty quantification.
Affiliations and expertise
Distinguished Professor, Department of Aerospace Engineering, College of Engineering, Embry-Riddle Aeronautical University, Daytona Beach, FL, USA