
Computational Transport Phenomena of Fluid-Particle Systems
Springer (Publisher)
Published on 7. July 2018
Book
Paperback/Softback
XI, 103 pages
978-3-319-83305-7 (ISBN)
Description
This book concerns the most up-to-date advances in computational transport phenomena (CTP), an emerging tool for the design of gas-solid processes such as fluidized bed systems. The authors examine recent work in kinetic theory and CTP and illustrate gas-solid processes' many applications in the energy, chemical, pharmaceutical, and food industries. They also discuss the kinetic theory approach in developing constitutive equations for gas-solid flow systems and how it has advanced over the last decade as well as the possibility of obtaining innovative designs for multiphase reactors, such as those needed to capture CO2 from flue gases. Suitable as a concise reference and a textbook supplement for graduate courses, Computational Transport Phenomena of Gas-Solid Systems is ideal for practitioners in industries involved with the design and operation of processes based on fluid/particle mixtures, such as the energy, chemicals, pharmaceuticals, and food processing.
More details
Series
Edition
Softcover reprint of the original 1st ed. 2017
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
15 farbige Abbildungen, 13 s/w Abbildungen
XI, 103 p. 28 illus., 15 illus. in color.
Dimensions
Height: 23.5 cm
Width: 15.5 cm
Weight
192 gr
ISBN-13
978-3-319-83305-7 (9783319833057)
DOI
10.1007/978-3-319-45490-0
Schweitzer Classification
Other editions
Additional editions

Hamid Arastoopour | Dimitri Gidaspow | Emad Abbasi
Computational Transport Phenomena of Fluid-Particle Systems
Book
01/2017
Springer
€139.09
Shipment within 10-15 days
Content
Conservation Laws for Multiphase Flow.- Conservation and Constitutive Equations for Fluid-Particle Flow Systems.- Homogeneous and Non-homogeneous Flow of the Particle Phase.- Polydispersity and the Population Balance Model.- Case Studies.