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  • Format: ePub

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…mehr

Produktbeschreibung
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.

  • Presents the most recent advances in modeling of gas-particle and granular flow systems
  • Features detailed and multidisciplinary case studies at the conclusion of each chapter to underscore key concepts
  • Discusses coupled methods of particle and granular flow systems theory and includes advanced modeling tools and numerical techniques

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Autorenporträt
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.