EconPapers    
Economics at your fingertips  
 

Shear-driven heat flow in absence of a temperature gradient

R. Nettleton ()

The European Physical Journal B: Condensed Matter and Complex Systems, 1999, vol. 11, issue 2, 287-292

Abstract: Jaynesian statistical inference is used to predict that steady, non-uniform Couette flow in a simple liquid will generate a heat flux proportional to the gradient of the square of the strain-rate when the temperature gradient is negligible. The heat flux is divided into phonon and self-diffusion components, with the latter coupling to the elastic strain and inelastic strain-rate. Operators for all these are substituted into the information-theoretic phase-space distribution. By taking moments of an exact equation for this distribution derived by Robertson, one obtains an evolution equation for the self-diffusion component of the heat flux which, in a steady state, predicts shear-driven heat flow. Copyright Società Italiana di Fisica, Springer-Verlag 1999

Keywords: PACS. 05.60.-k Transport processes; 05.70.Ln Nonequilibrium and irreversible thermodynamics; 66.60.+a Thermal conduction in nonmetallic liquids (search for similar items in EconPapers)
Date: 1999
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1007/BF03219170 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:eurphb:v:11:y:1999:i:2:p:287-292:10.1007/bf03219170

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/10051

DOI: 10.1007/BF03219170

Access Statistics for this article

The European Physical Journal B: Condensed Matter and Complex Systems is currently edited by P. Hänggi and Angel Rubio

More articles in The European Physical Journal B: Condensed Matter and Complex Systems from Springer, EDP Sciences
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:eurphb:v:11:y:1999:i:2:p:287-292:10.1007/bf03219170