Computational Investigation of the Clustering of Droplets in Widening Pipe Geometries

Experimentally, periodically released droplets in systems of widening pipes show clustering. This is surprising, as purely hydrodynamic interactions are repulsive so that agglomeration should be prevented. In the main part of this paper, we investigate the clustering of droplets under the influence...

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Published inArtificial Life and Evolutionary Computation pp. 82 - 93
Main Authors Matuttis, Hans-Georg, Schneider, Johannes Josef, Li, Jin, Barrow, David Anthony, Faggian, Alessia, Diaz, Aitor Patiño, Holler, Silvia, Casiraghi, Federica, Sanahuja, Lorena Cebolla, Hanczyc, Martin Michael, Weyland, Mathias Sebastian, Flumini, Dandolo, Hotz, Peter Eggenberger, Dimitriou, Pantelitsa, Jamieson, William David, Castell, Oliver, Füchslin, Rudolf Marcel
Format Book Chapter
LanguageEnglish
Published Cham Springer Nature Switzerland 2023
SeriesCommunications in Computer and Information Science
Subjects
clustering of droplets
droplets in fluids
Micro-fluidics
multiphase flow
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Summary:Experimentally, periodically released droplets in systems of widening pipes show clustering. This is surprising, as purely hydrodynamic interactions are repulsive so that agglomeration should be prevented. In the main part of this paper, we investigate the clustering of droplets under the influence of phenomenological hydrostatic forces and some hypothetical attraction. In two appendices, we explain why a direct numerical simulation for this system is rather more difficult (and probably not possible with current methods) than the “simple” geometry would suggest.
Bibliography:The original version of this chapter was previously published without open access. A correction to this chapter is available at https://doi.org/10.1007/978-3-031-31183-3_25
ISBN:9783031311826
3031311825
ISSN:1865-0929
1865-0937
DOI:10.1007/978-3-031-31183-3_7