A Multiple-Scale Analysis of Evaporation Induced Marangoni Convection

Matthew G. Hennessy, Andreas Münch

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

This paper considers the stability of thin liquid layers of binary mixtures of a volatile (solvent) species and a nonvolatile (polymer) species. Evaporation leads to a depletion of the solvent near the liquid surface. If surface tension increases for lower solvent concentrations, sufficiently strong compositional gradients can lead to Bénard-Marangoni-type convection that is similar to the kind which is observed in films that are heated from below. The onset of the instability is investigated by a linear stability analysis. Due to evaporation, the base state is time dependent, thus leading to a nonautonomous linearized system which impedes the use of normal modes. However, the time scale for the solvent loss due to evaporation is typically long compared to the diffusive time scale, so a systematic multiple scales expansion can be sought for a finite-dimensional approximation of the linearized problem. This is determined to leading and to next order. The corrections indicate that the validity of the expansion does not depend on the magnitude of the individual eigenvalues of the linear operator, but it requires these eigenvalues to be well separated. The approximations are applied to analyze experiments by Bassou and Rharbi with polystyrene/toluene mixtures [Langmuir, 25 (2009), pp. 624-632]. © 2013 Society for Industrial and Applied Mathematics.
Original languageEnglish (US)
Pages (from-to)974-1001
Number of pages28
JournalSIAM Journal on Applied Mathematics
Volume73
Issue number2
DOIs
StatePublished - Apr 23 2013
Externally publishedYes

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledged KAUST grant number(s): KUK-C1-013-04
Acknowledgements: This work was supported by King Abdullah University of Science and Technology (KAUST) through award KUK-C1-013-04.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.

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