English

Hierarchical bubble size distributions in coarsening wet liquid foams

Soft Condensed Matter 2023-08-02 v2

Abstract

Coarsening of two-phase systems is crucial for the stability of dense particle packings such as alloys, foams, emulsions or supersaturated solutions. Mean field theories predict an asymptotic scaling state with a broad particle size distribution. Aqueous foams are good model systems for investigations of coarsening-induced structures, because the continuous liquid as well as the dispersed gas phases are uniform and isotropic. We present coarsening experiments on wet foams, with liquid fractions up to their unjamming point and beyond, that are performed under microgravity to avoid gravitational drainage. As time elapses, a self-similar regime is reached where the normalized bubble size distribution is invariant. Unexpectedly, the distribution features an excess of small \textit{roaming} bubbles, mobile within the network of \textit{jammed} larger bubbles. These roaming bubbles are reminiscent of rattlers in granular materials (grains not subjected to contact forces). We identify a critical liquid fraction ϕ\phi^*, above which the bubble assembly unjams and the two bubble populations merge into a single narrow distribution of bubbly liquids. Unexpectedly, ϕ\phi^* is larger than the random close packing fraction of the foam ϕrcp\phi_{rcp}. This is because, between ϕrcp\phi_{rcp} and ϕ\phi^*, the large bubbles remain connected due to a weak adhesion between bubbles. We present models that identify the physical mechanisms explaining our observations. We propose a new comprehensive view of the coarsening phenomenon in wet foams. Our results should be applicable to other phase-separating systems and they may also help to control the elaboration of solid foams with hierarchical structures.

Keywords

Cite

@article{arxiv.2304.11543,
  title  = {Hierarchical bubble size distributions in coarsening wet liquid foams},
  author = {Nicolo Galvani and Marina Pasquet and Arnab Mukherjee and Alice Requier and Sylvie Cohen-Addad and Olivier Pitois and Reinhard Höhler and Emmanuelle Rio and Anniina Salonen and Douglas J. Durian and Dominique Langevin},
  journal= {arXiv preprint arXiv:2304.11543},
  year   = {2023}
}