Next Article in Journal
An Alternative to Entropy in the Measurement of Information
Previous Article in Journal
On a simple derivation of a family of nonextensive entropies from information content
Entropy 2004, 6(4), 375-387; doi:10.3390/e6040375

On The Use of Entropy to Predict Boundary Layer Stability

1,* , 1 and 2,3
1 Stokes Research Institute, Department of Mechanical & Aeronautical Engineering, University of Limerick, Plassey Technological Park, Limerick, Ireland 2 University of Arizona, Tucson, AZ 85721, USA 3 Idaho National Engineering and Environmental Laboratory, P.O.Box 1625, Idaho Falls, ID 83415-3885, USA
* Author to whom correspondence should be addressed.
Received: 3 March 2004 / Accepted: 25 August 2004 / Published: 26 August 2004
View Full-Text   |   Download PDF [63 KB, uploaded 24 February 2015]   |  


Boundary layer transition is a critical parameter in the design of fluid flow systems. This situation is due to the dramatic change in both entropy production and heat transfer that accompanies it. It is well recognized that many parameters affect the location of transition onset, however, no models exist which unify all these parameters. This paper presents a new hypothesis that the driving force of boundary layer transition onset is the entropy generation rate alone, with all other parameters being functions of this higher order quantity. At present this hypothesis is speculative, but encouraging since good compatibility is found with more established transition models.
Keywords: entropy; transition onset; boundary layer stability entropy; transition onset; boundary layer stability
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Share & Cite This Article

Further Mendeley | CiteULike
Export to BibTeX |
EndNote |
MDPI and ACS Style

Walsh, E.J.; Davies, M.R.; McEligot, D.M. On The Use of Entropy to Predict Boundary Layer Stability. Entropy 2004, 6, 375-387.

View more citation formats

Related Articles

Article Metrics

For more information on the journal, click here


[Return to top]
Entropy EISSN 1099-4300 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert