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Computational investigation of the clustering of droplets in widening pipe geometries

Authors :
De Stefano, C.
Fontanella, F.
Vanneschi, L.
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
De Stefano, C.
Fontanella, F.
Vanneschi, L.
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

Abstract

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.

Details

Database :
OAIster
Notes :
10.1007/978-3-031-31183-3_7
Publication Type :
Electronic Resource
Accession number :
edsoai.on1394212158
Document Type :
Electronic Resource