Jeffery S. Marshall

Adhesive Particle Flow (eBook, PDF)

A Discrete-Element Approach

• Format: PDF

Produktbeschreibung

Offering a comprehensive treatment of adhesive particle flows, this book adopts a particle-level approach oriented toward directly simulating the various fluid, electric field, collision, and adhesion forces and torques acting on the particles, within the framework of a discrete-element model. It is ideal for professionals and graduate students working in engineering and atmospheric and condensed matter physics, materials science, environmental science, and other disciplines where particulate flows have a significant role. The presentation is applicable to a wide range of flow fields, including aerosols, colloids, fluidized beds, and granular flows. It describes both physical models of the various forces and torques on the particles as well as practical aspects necessary for efficient implementation of these models in a computational framework.

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Produktdetails

• Verlag: Cambridge University Press
• Erscheinungstermin: 31. März 2014
• Englisch
• ISBN-13: 9781139950275
• Artikelnr.: 40712545

Autorenporträt

Jeffrey S. Marshall is a Professor in the School of Engineering at the University of Vermont. He is a Fellow of the American Society of Mechanical Engineers. He obtained a Ph.D. in Mechanical Engineering from the University of California, Berkeley. Dr Marshall taught at the University of Iowa from 1993 to 2006 and was Chair of the Mechanical and Industrial Engineering Department from 2001 to 2005. He is a recipient of the ASME Henry Hess Award and the Army Research Office Young Investigator Award. He has authored more than 95 journal articles and book chapters and one textbook, Inviscid Incompressible Flow (2001).

Inhaltsangabe

1. Introduction
2. Modeling viewpoints and approaches
3. Contact mechanics without adhesion
4. Adhesion forces
5. Fluid forces on particles
6. Particle dispersion in turbulent flows
7. Ellipsoidal particles
8. Particle interactions with electric and magnetic fields
9. Nanoscale particle dynamics
10. Computer implementation and data analysis
11. Applications.