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2. The Two Fluid Model, Eulerian-Eulerian
3. Unresolved Coupling Model, Lagrangian-Eulerian
4. Resolved Coupling Model, Lagrangian-Eulerian
5. Particles Modelling, Lagrangian‐Lagrangian
6. Summation, Comparisons, and Future Research Directions
Multiphysics Modelling of Fluid-Particulate Systems provides an explanation on how to model fluid-particulate systems using Eulerian and Lagrangian methods. The computational cost and relative merits of the different methods are compared, with recommendations on where and how to apply them provided. The science underlying the fluid‐particulate phenomena involves computational fluid dynamics (for liquids and gases), computational particle dynamics (solids), and mass and heat transfer. In order to simulate these systems, it is essential to model the interactions between phases and the fluids and particles themselves. This book details instructions for several numerical methods of dealing with this complex problem.
This book is essential reading for researchers from all backgrounds interested in multiphase flows or fluid-solid modeling, as well as engineers working on related problems in chemical engineering, food science, process engineering, geophysics or metallurgical processing.
- Provides detailed coverage of Two-Fluid Methods, CFD-Direct Element Methods, and a comparison of their various attributes
- Gives an excellent summary of a range of simulation techniques and provides numerical examples
- Starts with a broad introduction to fluid-particulate systems to help readers from a range of disciplines grasp fundamental principles
Researchers and PhD students with mechanical engineering, chemical engineering, and applied mathematics backgrounds with an interest in fluid-particulate systems. Engineers in process, pharmaceutical, mining, or energy industries working with multiphase flow problems
- No. of pages:
- © Academic Press 2020
- 1st March 2020
- Academic Press
- Paperback ISBN:
Hassan A Khawaja is an Associate Professor at the University of Tromsø (UiT), Norway, where he is a member of the process and gas team in the Department of Engineering and Safety and the leader of the research group, ‘Infrared Imaging, Spectroscopy and Numerical Modelling’. He holds the posts of Vice President (Scandinavia) of the International Society of Multiphysics and Communication Director of the Association of Aerospace Universities (AAU). He is the Coordinator of the annual Multiphysics Conference and the Editorial Manager for the International Journal of Multiphysics. His PhD in ‘Computational Fluid Dynamics – Discrete Element Modelling (CFD--‐DEM) Simulations of Two--‐Phase Flow in Fluidised Beds’ was completed at the University of Cambridge in 2013. He has been awarded distinguished prizes such as the Multiphysics Student Prize in 2010 and the W F Reddaway Prize in 2011.
Associate Professor, University of Tromso, Norway
Mojtaba Moatamedi holds the Chair of Multiphysics at UiT The Arctic University of Norway. He previously has held positions including Director of Motorsport Engineering and Management at Cranfield University, USA, Director of the Centre for Engineering Materials and the Director of Aerospace Engineering at The University of Salford, UK. His research and teaching has been focused on Multiphysics, Fluid-Structure Interaction, Modelling and Simulations and Engineering Design. His industrial research and engineering experience includes work for the UK Ministry of Defence, the Health and Safety Executive, Electrolux, Shell, Hitachi, Rolls Royce, Jaguar, BAE Systems and Airbus UK. He is the founder and the President of The International Society of Multiphysics (www.multiphysics.org), the Editor-in-Chief of ‘The International Journal of Multiphysics’ and the Chairman of the associated annual conferences. He is currently a member of the Council and the Board of Directors of NAFEMS, the Vice Chairman of its Multiphysics Working Group, a board member of CSDI Foundation and also the Vice Chairman of the Association of Aerospace Universities.
Chair of Multiphysics, University of Tromso, Norway