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Numerical study of two-dimensional wet foam over a range of shear rates

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Kähärä, T. (2017). Numerical study of two-dimensional wet foam over a range of shear rates. Physical Review Fluids, 2(9), Article 093303. https://doi.org/10.1103/PhysRevFluids.2.093303
Published in
Physical Review Fluids
Authors
Kähärä, Topi
Date
2017
Discipline
FysiikkaPhysics
Copyright
© 2017 American Physical Society. Published by American Physical Society. Published in this repository with the kind permission of the publisher.

 
The shear rheology of two-dimensional foam is investigated over a range of shear rates with the numerical DySMaL model, which features dynamically deformable bubbles. It is found that at low shear rates, the rheological behavior of the system can be characterized by a yield stress power-law constitutive equation that is consistent with experimental findings and can be understood in terms of soft glassy rheology models. At low shear rates, the system rheology is also found to be subject to a scaling law involving the bubble size, the surface tension, and the viscosity of the carrier fluid. At high shear rates, the model produces a dynamic phase transition with a sudden change in the flow pattern, which is accompanied by a drop in the effective viscosity. This phase transition can be linked to rapid changes in the average bubble deformation and nematic order of the system. It is very likely that this phase transition is a result of the model dynamics and does not happen in actual foams.
Publisher
American Physical Society
ISSN Search the Publication Forum
2469-9918
Keywords
elastic deformation shear deformation reologia
DOI
https://doi.org/10.1103/PhysRevFluids.2.093303
URI

http://urn.fi/URN:NBN:fi:jyu-201709143734

Publication in research information system

https://converis.jyu.fi/converis/portal/detail/Publication/27219096

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  • Matemaattis-luonnontieteellinen tiedekunta [4532]
Related funder(s)
Academy of Finland
Funding program(s)
Academy Project, AoF
Additional information about funding
I thank M. Kataja and K. Mattila for comments on the manuscript. This work was financially supported by the Academy of Finland, Projects No. 264427 and No. 288526. Computational resources were provided by CSC–IT Center for Science.

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