The Mathematical Foundations of Mixing: The Linked Twist Map as a Paradigm in Applications: Micro to Macro, Fluids to Solids

Rob Sturman/ Julio M. Ottino/ Stephen Wiggins

ISBN 10: 0521868130 / ISBN 13: 9780521868136

Published by Cambridge Univ Pr, 2006

About this Item

1st edition. 281 pages. 9.00x6.25x0.75 inches. In Stock. This item is printed on demand. Seller Inventory # __0521868130

Bibliographic Details

Title: The Mathematical Foundations of Mixing: The ...

Publisher: Cambridge Univ Pr

Publication Date: 2006

Binding: Hardcover

Condition: Brand New

About this title

Synopsis:

Mixing processes occur in many technological and natural applications, with length and time scales ranging from the very small to the very large. The diversity of problems can give rise to a diversity of approaches. Are there concepts that are central to all of them? Are there tools that allow for prediction and quantification? The authors show how a variety of flows in very different settings possess the characteristic of streamline crossing. This notion can be placed on firm mathematical footing via Linked Twist Maps (LTMs), which is the central organizing principle of this book. The authors discuss the definition and construction of LTMs, provide examples of specific mixers that can be analyzed in the LTM framework and introduce a number of mathematical techniques which are then brought to bear on the problem of fluid mixing. In a final chapter, they present a number of open problems and new directions.

About the Authors:

Rob Sturnan gained his PhD from University College London in 2000. He is currently carrying out research on mixing in microfluidics at the University of Bristol.

Julio M. Ottino is Dean of the R. R. McCormick School of Engineering and Applied Sciences, R. R. McCormick Institute Professor and Walter P. Murphy Professor of Chemical and Biological Engineering at Northwestern University.

Stephen Wiggins is a Professor of Applied Mathematics and Head of the School of Mathematics at the University of Bristol.