Hostname: page-component-76fb5796d-vvkck Total loading time: 0 Render date: 2024-04-25T15:31:29.013Z Has data issue: false hasContentIssue false

Chaotic mixing in a bounded three-dimensional flow

Published online by Cambridge University Press:  25 August 2000

G. O. FOUNTAIN
Affiliation:
Department of Chemical Engineering, Northwestern University, Evanston, IL 60208, USA
D. V. KHAKHAR
Affiliation:
Department of Chemical Engineering, Indian Institute of Technology – Bombay, Powai, Mumbai, 400076, India
I. MEZIĆ
Affiliation:
Division of Engineering and Applied Science, Harvard University, Cambridge, MA 02138, USA
J. M. OTTINO
Affiliation:
Department of Chemical Engineering, Northwestern University, Evanston, IL 60208, USA

Abstract

Even though the first theoretical example of chaotic advection was a three-dimensional flow (Hénon 1966), the number of theoretical studies addressing chaos and mixing in three-dimensional flows is small. One problem is that an experimentally tractable three-dimensional system that allows detailed experimental and computational investigation had not been available. A prototypical, bounded, three-dimensional, moderate-Reynolds-number flow is presented; this system lends itself to detailed experimental observation and allows high-precision computational inspection of geometrical and dynamical effects. The flow structure, captured by means of cuts with a laser sheet (experimental Poincaré section), is visualized via continuously injected fluorescent dye streams, and reveals detailed chaotic structures and chains of high-period islands. Numerical experiments are performed and compared with particle image velocimetry (PIV) and flow visualization results. Predictions of existing theories for chaotic advection in three-dimensional volume-preserving flows are tested. The ratio of two frequencies of particle motion – the frequency of motion around the vertical axis and the frequency of recirculation in the plane containing the axis – is identified as the crucial parameter. Using this parameter, the number of islands in the chain can be predicted. The same parameter – using as a base-case the integrable motion – allows the identification of operating conditions where small perturbations lead to nearly complete mixing.

Type
Research Article
Copyright
© 2000 Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)