4.8 Article

Multiscale Modeling of Membrane Rearrangement, Drainage, and Rupture in Evolving Foams

Journal

SCIENCE
Volume 340, Issue 6133, Pages 720-724

Publisher

AMER ASSOC ADVANCEMENT SCIENCE
DOI: 10.1126/science.1230623

Keywords

-

Funding

  1. Applied Mathematical Sciences subprogram of the Office of Energy Research, U.S. Department of Energy [DE-AC02-05CH11231]
  2. Division of Mathematical Sciences of the NSF
  3. National Cancer Institute [U54CA143833]
  4. Office of Science of the U.S. Department of Energy [DE-AC02-05CH11231]
  5. Miller Foundation at University of California, Berkeley
  6. American Australian Association Sir Keith Murdoch Fellowship
  7. Direct For Mathematical & Physical Scien
  8. Division Of Mathematical Sciences [1319276] Funding Source: National Science Foundation

Ask authors/readers for more resources

Modeling the physics of foams and foamlike materials, such as soapy froths, fire retardants, and lightweight crash-absorbent structures, presents challenges, because of the vastly different time and space scales involved. By separating and coupling these disparate scales, we have designed a multiscale framework to model dry foam dynamics. This leads to a predictive and flexible computational methodology linking, with a few simplifying assumptions, foam drainage, rupture, and topological rearrangement, to coupled interface-fluid motion under surface tension, gravity, and incompressible fluid dynamics. Our computed results match theoretical analyses and experimentally observed physical effects, including thin-film drainage and interference, and are used to study bubble rupture cascades and macroscopic rearrangement. The developed multiscale model allows quantitative computation of complex foam evolution phenomena.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available