Gas-Particle and Granular Flow Systems
Coupled Numerical Methods and Applications
Published on 23. October 2019
Book
Paperback/Softback
386 pages
978-0-12-816398-6 (ISBN)
Description
Gas-Particle and Granular Flow Systems: Coupled Numerical Methods and Applications breaks down complexities, details numerical methods (including basic theory, modeling and techniques in programming), and provides researchers with an introduction and starting point to each of the disciplines involved. As the modeling of gas-particle and granular flow systems is an emerging interdisciplinary field of study involving mathematics, numerical methods, computational science, and mechanical, chemical and nuclear engineering, this book provides an ideal resource for new researchers who are often intimidated by the complexities of fluid-particle, particle-particle, and particle-wall interactions in many disciplines.
More details
Language
English
Place of publication
United States
Target group
Professional and scholarly
Chemical Engineers, Materials Scientists, and Chemists in research and industry comprise the primary audience. Secondary audience includes instructors and students taking related coursework at the graduate level
Dimensions
Height: 235 mm
Width: 191 mm
Weight
720 gr
ISBN-13
978-0-12-816398-6 (9780128163986)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Nan Gui | Shengyao Jiang | Royal Institute of Technology Tu in Fluid Mechanics
Gas-Particle and Granular Flow Systems
Coupled Numerical Methods and Applications
E-Book
10/2019
Elsevier
€200.00
Available for download
Persons
Nan Gui, PhD, is Associate Professor of Chemical Engineering at the Institute of Nuclear and New Energy Technology at Tsinghua University in Beijing, China. Dr. Gui's career in research and instruction spans more than 20 years. He has a multi-disciplinary research focus across physics, chemistry, materials science, mathematics, numerical methods, computational science, and a number of engineering disciplines including mechanical, chemical, and nuclear. He has authored more than 70 articles across a range of peer-reviewed journals. Shengyao Jiang is a researcher in the Laboratory of Advanced Reactor Engineering and Safety at Tsinghua University. 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. Xingtuan Yang is a researcher in the Laboratory of Advanced Reactor Engineering and Safety at Tsinghua University.
Author
Chemical Engineering, Institute of Nuclear and New Energy Technology, Tsinghua University in Beijing, China
Institute of Nuclear and New Energy Technology, Tsinghua University, Beijing, China
Professor and Deputy Head, Research and Innovation, Department of Aerospace, Mechanical and Manufacturing Engineering, at Royal Melbourne Institute of Technology (RMIT) University, Australia.
Institute of Nuclear and New Energy Technology, Tsinghua University, Beijing, China
Content
1. Particle and Pebble Flow: An Introduction2. Discrete Particle Models and Extensions3. Coupled Methods4. Physical Characterization and Key Parameters5. Application in Gas-Particle Flows6. Application in Granular Mixing7. Application in Pebble Flows