A unifying framework for understanding many types of fluid mixing, for researchers. Series Editor(s): Ablowitz, Mark J.; Davis, S. H.; Hinch, E. J.; Iserles, A.; Ockendon, J.; Olver, P. J. Series: Cambridge Monographs on Applied and Computational Mathematics. Num Pages: 302 pages, 110 b/w illus. 17 colour illus. BIC Classification: PBWR; PDE; PHDF. Category: (P) Professional & Vocational. Dimension: 228 x 152 x 18. Weight in Grams: 620. . 2006. Illustrated. hardcover. . . . .

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Bibliographic Details

Title: The Mathematical Foundations of Mixing: The Linked Twist Map as a Paradigm in Applications: Micro to Macro, Fluids to Solids: 22 (Cambridge Monographs . Computational Mathematics, Series Number 22)
Publisher: Cambridge University Press
Publication Date: 2006
Language: English
ISBN 10: 0521868130
ISBN 13: 9780521868136
Binding: Hardcover
Condition: 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.

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