Gas-Particle and Granular Flow Systems: Coupled Numerical Methods and Applications

Gui, Nan; Jiang, Shengyao; Tu Ph.D. In Fluid Mechanics Royal Institute Of Technology Stockholm Sweden, Jiyuan; Yang, Xingtuan

ISBN 10: 0128163984 / ISBN 13: 9780128163986

Published by Elsevier, 2019

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Bibliographic Details

• Title: Gas-Particle and Granular Flow Systems: Coupled Numerical Methods and Applications
• Publisher: Elsevier
• Publication Date: 2019
• Language: English
• ISBN 10: 0128163984
• ISBN 13: 9780128163986
• Binding: Soft cover
• Condition: New

About this title

Synopsis

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.

About the Authors

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.