Literature DB >> 20867343

Coarsening foams robustly reach a self-similar growth regime.

Jérôme Lambert1, Rajmund Mokso, Isabelle Cantat, Peter Cloetens, James A Glazier, François Graner, Renaud Delannay.   

Abstract

Dry liquid foams coarsen like other diphasic systems governed by interfacial energy: gas slowly diffuses across liquid films, resulting in large bubbles growing at the expense of smaller ones which eventually shrink and disappear. A foam scatters light very effectively, preventing direct optical observation of bubble sizes and shapes in large foams. Using high speed x-ray tomography, we have produced 4D movies (i.e., 3D + time) of up to 30,000 bubbles. After a transient regime, the successive images look alike, except that the average bubble size increases as the square root of time: This scaling state is the long sought self-similar growth regime. The bubble size and face-number distributions in this regime are compared with experimental distributions for grains in crystals and with numerical simulations of foams.

Year:  2010        PMID: 20867343     DOI: 10.1103/PhysRevLett.104.248304

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  4 in total

1.  Coarsening dynamics of three-dimensional levitated foams: From wet to dry.

Authors:  N Isert; G Maret; C M Aegerter
Journal:  Eur Phys J E Soft Matter       Date:  2013-10-17       Impact factor: 1.890

2.  3D simulations of wet foam coarsening evidence a self similar growth regime.

Authors:  Gilberto L Thomas; Julio M Belmonte; François Graner; James A Glazier; Rita M C de Almeida
Journal:  Colloids Surf A Physicochem Eng Asp       Date:  2015-02-14       Impact factor: 4.539

3.  GigaFRoST: the gigabit fast readout system for tomography.

Authors:  Rajmund Mokso; Christian M Schlepütz; Gerd Theidel; Heiner Billich; Elmar Schmid; Tine Celcer; Gordan Mikuljan; Leonardo Sala; Federica Marone; Nick Schlumpf; Marco Stampanoni
Journal:  J Synchrotron Radiat       Date:  2017-10-17       Impact factor: 2.616

Review 4.  Numerical modelling of non-ionic microgels: an overview.

Authors:  Lorenzo Rovigatti; Nicoletta Gnan; Letizia Tavagnacco; Angel J Moreno; Emanuela Zaccarelli
Journal:  Soft Matter       Date:  2019-02-06       Impact factor: 3.679

  4 in total

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