Author
Listed:
- Ruskin, H.J.
- Feng, Y.
- Zhu, B.
Abstract
The soap froth provides an idealised example of a cellular structure, which evolves or coarsens over laboratory time-scales and for which topological measures appear to provide an intuitive characterisation. However, froth is an intrinsically non-equilibrium system, and topological measures are not universally applicable to such processes. Recently, persistence has been proposed as a more general probe of non-equilibrium dynamics, where the froth is viewed as a two-phase system through construction of a virtual phase. We use a direct simulation method to investigate persistence for random 2-D (Voronoi) and hexagonal froths of size up to 2500 bubbles. We find that simulation results are qualitatively similar to those of experiment, with the normalised average area, 〈A∗(t)/A(0)〉, of persistent regions within a bubble at time t approaching an equilibrium value for a range of volume (or sampling) fraction values, φ, for the Voronoi froth. The case for the hexagonal is less clear, since exclusion of the defect (or defects) from the virtual phase leads to rapid decline in the average area of persistent bubbles. Simulation times required are very long, however, and evolution is slow for long-term survivors. Consequently, persistent behaviour is not demonstrated satisfactorily for the fraction of survivors, N∗(t)/N(t), in a random system of this size, although for the hexagonal with one or more seeded defects, there is some indication that decay depends on φ, for some colouring patterns. However, limiting slope values are probably not established.
Suggested Citation
Ruskin, H.J. & Feng, Y. & Zhu, B., 2001.
"Modelling froth dynamics; persistence measures,"
Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 293(3), pages 315-323.
Handle:
RePEc:eee:phsmap:v:293:y:2001:i:3:p:315-323
DOI: 10.1016/S0378-4371(01)00015-2
Download full text from publisher
As the access to this document is restricted, you may want to
for a different version of it.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:phsmap:v:293:y:2001:i:3:p:315-323. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.