Skip to main content Accessibility help
×
Hostname: page-component-76fb5796d-5g6vh Total loading time: 0 Render date: 2024-04-27T22:10:54.809Z Has data issue: false hasContentIssue false

1 - Introduction

Published online by Cambridge University Press:  30 March 2010

Wei Shyy
Affiliation:
University of Florida
S. S. Thakur
Affiliation:
University of Florida
H. Ouyang
Affiliation:
Pratt and Whitney, Connecticut
J. Liu
Affiliation:
Western Atlas Logging Services
E. Blosch
Affiliation:
Northrop-Grumman
Get access

Summary

Dynamic and Geometric Complexity

Complex fluid flow and heat/mass transfer problems encountered in natural and human-made environments are characterized by both geometric and dynamic complexity. For example, the geometric configuration of a jet engine, a heart, or a crystal growth device is irregular; to analyze the heat and fluid flow in these devices, geometric complexity is a major issue. From the analytical point of view, dynamic complexity is a well-established characteristic of fluid dynamics and heat/mass transfer. The combined influence of dynamic and geometric complexities on the transport processes of heat, mass, and momentum is the focus of the present work. A computational framework, including both numerical and modeling approaches, will be presented to tackle these complexities. In this chapter, we will first present basic background to help identify the issues involved and to highlight the state of our current knowledge.

Dynamic Complexity

Dynamic complexity results from the disparities of the length, time, and velocity scales caused by the presence of competing mechanisms, such as convection, conduction, body forces, chemical reaction, and surface tension; these mechanisms are often coupled and nonlinear. A case in point is the classical boundary layer theory originated by Prandtl (Schlichting 1979, Van Dyke 1975), whose foundation is built on the realization that the ratio of viscous and convective length and time scales can differ by orders of magnitude for high Reynolds number flows.

Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 1997

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.)

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×