Image processing for bubble morphology characteristics in diluted bubble swarms - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement
Article Dans Une Revue Physics of Fluids Année : 2019

Image processing for bubble morphology characteristics in diluted bubble swarms

David Laupsien
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Claude Le Men
Arnaud Cockx
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Alain Liné

Résumé

The present investigation describes, in detail, a data processing strategy for characterizing bubble sizes and shapes properly from shadow graph images in diluted bubble swarm conditions. A flat pseudo-two-dimensional bubble column is studied, where two different bubble types (ellipsoidal and spherical caps) can be injected through two different spargers. Various statistical equivalent diameters (D-10, D-20, D-30, D-32) are considered, and the morphology is characterized via the eccentricity (x) as a function of the size. To further broaden the experimental conditions, several Newtonian liquids characterized by different viscosities and gas injection rates ranging from 50 to 200 l/h, are used. Additionally, an original method for verifying results, using control parameters such as orientation and solidity, is presented.

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Biotechnologies
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Dates et versions

hal-02628375 , version 1 (26-05-2020)

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Citer

David Laupsien, Claude Le Men, Arnaud Cockx, Alain Liné. Image processing for bubble morphology characteristics in diluted bubble swarms. Physics of Fluids, 2019, 31 (5), ⟨10.1063/1.5088945⟩. ⟨hal-02628375⟩
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