Publication Cover
Drying Technology
An International Journal
Volume 22, 2004 - Issue 1-2
62
Views
5
CrossRef citations to date
0
Altmetric
Original Articles

Modeling of the Coupled Heat and Mass Transfer Through Porous Media on the Base of the Wave Approach

, , &
Pages 71-80 | Published online: 17 Dec 2010
 

Abstract

A new method is given for mathematical modeling of the coupled heat and mass transfer through porous media. The behavior of the moisture level function in the vicinity of the critical value of the conductivity probability is discussed, at general initial-, and boundary conditions. Instead of the usually applied two coupled partial differential equations of parabolic type, a coupled system of hyperbolic partial differential equations containing also explicitly the relaxation time constants is used. A general solution is presented for the moisture level function, when the relaxation time constant relevant for temperature changes tends to value zero. This description is combined with scaling relations following from the contemporary statistical physical theory of percolation phenomena.

Acknowledgments

The authors gratefully acknowledge the support of OTKA T-032510, OTKA T-024146 and TÉT D-15/01 projects given for this work. One of the authors (Cs. Mészáros) also gratefully acknowledges the hospitality of the ATB Institute in Bornim (Potsdam, Germany), where part of this work has been done and support of the Eötvös Fellowship (417/2002) during his stay there.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 760.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.