Aqueous foams in microgravity, measuring bubble sizes

The paper describes a study of wet foams in microgravity whose bubble size distribution evolves due to diffusive gas exchange. We focus on the comparison between the size of bubbles determined from images of the foam surface and the size of bubbles in the bulk foam, determined from Diffuse Transmiss...

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Main Authors: Pasquet, Marina, Galvani, Nicolo, Pitois, Olivier, Cohen-Addad, Sylvie, Höhler, Reinhard, Chieco, Anthony T., Dillavou, Sam, Hanlan, Jesse M., Durian, Douglas J., Rio, Emmanuelle, Salonen, Anniina, Langevin, Dominique
Format: Article
Language:English
Published: Académie des sciences 2023-05-01
Series:Comptes Rendus. Mécanique
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Online Access:https://comptes-rendus.academie-sciences.fr/mecanique/articles/10.5802/crmeca.153/
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author Pasquet, Marina
Galvani, Nicolo
Pitois, Olivier
Cohen-Addad, Sylvie
Höhler, Reinhard
Chieco, Anthony T.
Dillavou, Sam
Hanlan, Jesse M.
Durian, Douglas J.
Rio, Emmanuelle
Salonen, Anniina
Langevin, Dominique
author_facet Pasquet, Marina
Galvani, Nicolo
Pitois, Olivier
Cohen-Addad, Sylvie
Höhler, Reinhard
Chieco, Anthony T.
Dillavou, Sam
Hanlan, Jesse M.
Durian, Douglas J.
Rio, Emmanuelle
Salonen, Anniina
Langevin, Dominique
author_sort Pasquet, Marina
collection DOAJ
description The paper describes a study of wet foams in microgravity whose bubble size distribution evolves due to diffusive gas exchange. We focus on the comparison between the size of bubbles determined from images of the foam surface and the size of bubbles in the bulk foam, determined from Diffuse Transmission Spectroscopy (DTS). Extracting the bubble size distribution from images of a foam surface is difficult so we have used three different procedures: manual analysis, automatic analysis with a customized Python script and machine learning analysis. Once various pitfalls were identified and taken into account, all the three procedures yield identical results within error bars. DTS only allows the determination of an average bubble radius which is proportional to the photon transport mean free path $\ell ^*$. The relation between the measured diffuse transmitted light intensity and $\ell ^*$ previously derived for slab-shaped samples of infinite lateral extent does not apply to the cuboid geometry of the cells used in the microgravity experiment. A new more general expression of the diffuse intensity transmitted with specific optical boundary conditions has been derived and applied to determine the average bubble radius. The temporal evolution of the average bubble radii deduced from DTS and of the same average radii of the bubbles measured at the sample surface is the same (to a factor probably close to one) throughout the coarsening. Finally, ground experiments were performed to compare bubble size distributions in a bulk wet foam and at its surface at times so short that diffusive gas exchange is insignificant. They were found to be similar, confirming that bubbles seen at the surface are representative of the bulk foam bubbles.
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spelling doaj-art-d4d9febdc5904065ad341c59f13089eb2025-02-07T13:47:30ZengAcadémie des sciencesComptes Rendus. Mécanique1873-72342023-05-01351S213916110.5802/crmeca.15310.5802/crmeca.153Aqueous foams in microgravity, measuring bubble sizesPasquet, Marina0Galvani, Nicolo1Pitois, Olivier2Cohen-Addad, Sylvie3Höhler, Reinhard4Chieco, Anthony T.5Dillavou, Sam6Hanlan, Jesse M.7Durian, Douglas J.8https://orcid.org/0000-0003-3240-2381Rio, Emmanuelle9Salonen, Anniina10Langevin, Dominique11Department of Chemistry, University of California, Berkeley, CA, USASorbonne Université, Institut des NanoSciences de Paris, Paris, France; Université Gustave Eiffel, Laboratoire Navier, Marne-la-Vallée, FranceUniversité Gustave Eiffel, Laboratoire Navier, Marne-la-Vallée, FranceSorbonne Université, Institut des NanoSciences de Paris, Paris, France; Université Gustave Eiffel, Marne-la-Vallée, FranceSorbonne Université, Institut des NanoSciences de Paris, Paris, France; Université Gustave Eiffel, Marne-la-Vallée, FranceDepartment of Physics and Astronomy, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USADepartment of Physics and Astronomy, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USADepartment of Physics and Astronomy, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USADepartment of Physics and Astronomy, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USAUniversité Paris-Saclay, CNRS, Laboratoire de Physique des Solides, Orsay, FranceUniversité Paris-Saclay, CNRS, Laboratoire de Physique des Solides, Orsay, FranceUniversité Paris-Saclay, CNRS, Laboratoire de Physique des Solides, Orsay, FranceThe paper describes a study of wet foams in microgravity whose bubble size distribution evolves due to diffusive gas exchange. We focus on the comparison between the size of bubbles determined from images of the foam surface and the size of bubbles in the bulk foam, determined from Diffuse Transmission Spectroscopy (DTS). Extracting the bubble size distribution from images of a foam surface is difficult so we have used three different procedures: manual analysis, automatic analysis with a customized Python script and machine learning analysis. Once various pitfalls were identified and taken into account, all the three procedures yield identical results within error bars. DTS only allows the determination of an average bubble radius which is proportional to the photon transport mean free path $\ell ^*$. The relation between the measured diffuse transmitted light intensity and $\ell ^*$ previously derived for slab-shaped samples of infinite lateral extent does not apply to the cuboid geometry of the cells used in the microgravity experiment. A new more general expression of the diffuse intensity transmitted with specific optical boundary conditions has been derived and applied to determine the average bubble radius. The temporal evolution of the average bubble radii deduced from DTS and of the same average radii of the bubbles measured at the sample surface is the same (to a factor probably close to one) throughout the coarsening. Finally, ground experiments were performed to compare bubble size distributions in a bulk wet foam and at its surface at times so short that diffusive gas exchange is insignificant. They were found to be similar, confirming that bubbles seen at the surface are representative of the bulk foam bubbles.https://comptes-rendus.academie-sciences.fr/mecanique/articles/10.5802/crmeca.153/Aqueous foamsMicrogravityDiffuse Transmission SpectroscopyImage analysisBubble size distribution
spellingShingle Pasquet, Marina
Galvani, Nicolo
Pitois, Olivier
Cohen-Addad, Sylvie
Höhler, Reinhard
Chieco, Anthony T.
Dillavou, Sam
Hanlan, Jesse M.
Durian, Douglas J.
Rio, Emmanuelle
Salonen, Anniina
Langevin, Dominique
Aqueous foams in microgravity, measuring bubble sizes
Comptes Rendus. Mécanique
Aqueous foams
Microgravity
Diffuse Transmission Spectroscopy
Image analysis
Bubble size distribution
title Aqueous foams in microgravity, measuring bubble sizes
title_full Aqueous foams in microgravity, measuring bubble sizes
title_fullStr Aqueous foams in microgravity, measuring bubble sizes
title_full_unstemmed Aqueous foams in microgravity, measuring bubble sizes
title_short Aqueous foams in microgravity, measuring bubble sizes
title_sort aqueous foams in microgravity measuring bubble sizes
topic Aqueous foams
Microgravity
Diffuse Transmission Spectroscopy
Image analysis
Bubble size distribution
url https://comptes-rendus.academie-sciences.fr/mecanique/articles/10.5802/crmeca.153/
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