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2021 | Buch

Computational Fluid Dynamics and the Theory of Fluidization

Applications of the Kinetic Theory of Granular Flow

verfasst von: Prof. Huilin Lu, Prof. Dr. Dimitri Gidaspow, Prof. Shuyan Wang

Verlag: Springer Singapore

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Über dieses Buch

This book is for engineers and students to solve issues concerning the fluidized bed systems. It presents an analysis that focuses directly on the problem of predicting the fluid dynamic behavior which empirical data is limited or unavailable. The second objective is to provide a treatment of computational fluidization dynamics that is readily accessible to the non-specialist. The approach adopted in this book, starting with the formulation of predictive expressions for the basic conservation equations for mass and momentum using kinetic theory of granular flow. The analyses presented in this book represent a body of simulations and experiments research that has appeared in numerous publications over the last 20 years. This material helps to form the basis for university course modules in engineering and applied science at undergraduate and graduate level, as well as focused, post-experienced courses for the process, and allied industries.

Inhaltsverzeichnis

Frontmatter
Chapter 1. Introduction to Fluidization Basic Equations
Abstract
The multiphase modeling framework represents a trade-off between accuracy and computational efforts for fluidized bed reactors. The average multi-fluid models are a direct multi-dimensional extension of the conventional fluidized bed reactor models with the addition of the momentum equations. The multi-fluid model is actually the only approach that can be used analyzing chemical reactive systems on industrial scales considering both inherent physics and feasible computational efforts.
Huilin Lu, Dimitri Gidaspow, Shuyan Wang
Chapter 2. Constitutive Equations with Kinetic Theory of Granular Flow
Abstract
A granular material is defined as a collection of a large number of solid particles. Granular flow might thus be referred to as a powder flow. In a granular material there are primarily three mechanisms by which the bulk stresses are generated. These are (i) dry friction, (ii) transport of momentum by particle translation like in dilute gases, and (iii) momentum transport by particle interactions like in dense gases and liquids.
Huilin Lu, Dimitri Gidaspow, Shuyan Wang
Chapter 3. Homogeneous and Nonhomogeneous Interfacial Momentum Closure
Abstract
For simulation, design, and scale-up of commercial fluidized beds and gas–particle flow systems, a computationally feasible approach may be obtained from the averaged continuum equations of motion for both fluid and particles, which is often called two-fluid model (TFM). The continuum approach generally relies on closures for the drag forces between the fluid phase and the solids phase.
Huilin Lu, Dimitri Gidaspow, Shuyan Wang
Chapter 4. Experimental Foundation
Abstract
Fluidized bed reactors feature a dynamic mixture of gas and solids, causing that the proper measurement and monitoring of hydrodynamic phenomena is a challenging endeavor.
Huilin Lu, Dimitri Gidaspow, Shuyan Wang
Chapter 5. Tutorial for Numerical Methods and Program Solution Technique
Abstract
Conservation equations for mass, momentum and energy for each component and each phase in a mixture can be obtained using the Reynolds transport theorem (Gidaspow 1994; Aris 1962).
Huilin Lu, Dimitri Gidaspow, Shuyan Wang
Chapter 6. Cases for Numerical Simulations of Fluidized Bed Systems
Abstract
Gas-particles two-fluid flow macroscopic modeling (TFM) is currently considered to be the most suitable type of modeling for fluidized beds under conditions that are relevant for industrial systems.
Huilin Lu, Dimitri Gidaspow, Shuyan Wang
Metadaten
Titel
Computational Fluid Dynamics and the Theory of Fluidization
verfasst von
Prof. Huilin Lu
Prof. Dr. Dimitri Gidaspow
Prof. Shuyan Wang
Copyright-Jahr
2021
Verlag
Springer Singapore
Electronic ISBN
978-981-16-1558-0
Print ISBN
978-981-16-1557-3
DOI
https://doi.org/10.1007/978-981-16-1558-0

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