Computational investigation of the clustering of droplets in widening pipe geometries

Matuttis, Hans-Georg, Schneider, Johannes Josef, Li, Jin ORCID: https://orcid.org/0000-0002-4672-6806, Barrow, David Anthony ORCID: https://orcid.org/0000-0003-2096-7262, 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 ORCID: https://orcid.org/0000-0002-6059-8062 and Füchslin, Rudolf Marcel 2023. Computational investigation of the clustering of droplets in widening pipe geometries. Presented at: WIVACE 2022, XVI International Workshop on Artificial Life and Evolutionary Computation, Gaeta, Italy, 14-16 September 2022. Published in: De Stefano, C., Fontanella, F. and Vanneschi, L. eds. WIVACE 2022. Artificial Life and Evolutionary Computation. Communications in Computer and Information Science , vol.1780 Cham, Switzerland: Springer, pp. 82-93. 10.1007/978-3-031-31183-3_7

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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.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Engineering Pharmacy
Publisher:	Springer
ISBN:	9783031311826
Funders:	EU H2020 ACDC G.A. n° 82406
Last Modified:	02 Oct 2023 11:13
URI:	https://orca.cardiff.ac.uk/id/eprint/160520

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