Computational investigation of the clustering of droplets in widening pipe geometries

Matuttis, Hans-Georg; Schneider, Johannes Josef; Li, Jin; Barrow, David Anthony; Faggian, Alessia; Patiño Diaz, Aitor; Holler, Silvia; Casiraghi, Federica; Sanahuja, Lorena Cebolla; Hanczyc, Martin Michael; Weyland, Mathias Sebastian; Flumini, Dandolo; Eggenberger Hotz, Peter; Dimitriou, Pantelitsa; Jamieson, William David; Castell, Oliver; Füchslin, Rudolf Marcel

doi:10.1007/978-3-031-31183-3_7

Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-28784

Publication type:	Conference paper
Type of review:	Peer review (publication)
Title:	Computational investigation of the clustering of droplets in widening pipe geometries
Authors:	Matuttis, Hans-Georg Schneider, Johannes Josef Li, Jin Barrow, David Anthony Faggian, Alessia Patiño Diaz, Aitor Holler, Silvia Casiraghi, Federica Sanahuja, Lorena Cebolla Hanczyc, Martin Michael Weyland, Mathias Sebastian Flumini, Dandolo Eggenberger Hotz, Peter Dimitriou, Pantelitsa Jamieson, William David Castell, Oliver Füchslin, Rudolf Marcel
et. al:	No
DOI:	10.1007/978-3-031-31183-3_7 10.21256/zhaw-28784
Proceedings:	Artificial Life and Evolutionary Computation
Editors of the parent work:	De Stefano, Claudio Fontanella, Francesco Vanneschi, Leonardo
Page(s):	82
Pages to:	93
Conference details:	XVI Italian Workshop on Artificial Life and Evolutionary Computation (WIVACE), Gaeta, Italy, 14-16 September 2022
Issue Date:	30-Apr-2023
Series:	Communications in Computer and Information Science
Series volume:	1780
Publisher / Ed. Institution:	Springer
Publisher / Ed. Institution:	Cham
ISBN:	978-3-031-31182-6 978-3-031-31183-3
Language:	English
Subjects:	Micro-fluidics; Droplets in fluids; Multiphase flow; Clustering of droplets
Subject (DDC):	540: Chemistry
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.
URI:	https://digitalcollection.zhaw.ch/handle/11475/28784
Fulltext version:	Accepted version
License (according to publishing contract):	Licence according to publishing contract
Departement:	School of Engineering
Organisational Unit:	Institute of Applied Mathematics and Physics (IAMP)
Published as part of the ZHAW project:	ACDC – Artificial Cells with Distributed Cores to Decipher Protein Function
Appears in collections:	Publikationen School of Engineering

Files in This Item:

File	Description	Size	Format
2023_Matuttis-etal_Computational-investigation-of-clustering-droplets_WIVACE.pdf	Accepted Version	2.32 MB	Adobe PDF	View/Open

Show full item record

Matuttis, H.-G., Schneider, J. J., Li, J., Barrow, D. A., Faggian, A., Patiño Diaz, A., Holler, S., Casiraghi, F., Sanahuja, L. C., Hanczyc, M. M., Weyland, M. S., Flumini, D., Eggenberger Hotz, P., Dimitriou, P., Jamieson, W. D., Castell, O., & Füchslin, R. M. (2023). Computational investigation of the clustering of droplets in widening pipe geometries [Conference paper]. In C. De Stefano, F. Fontanella, & L. Vanneschi (Eds.), Artificial Life and Evolutionary Computation (pp. 82–93). Springer. https://doi.org/10.1007/978-3-031-31183-3_7

Matuttis, H.-G. et al. (2023) ‘Computational investigation of the clustering of droplets in widening pipe geometries’, in C. De Stefano, F. Fontanella, and L. Vanneschi (eds) Artificial Life and Evolutionary Computation. Cham: Springer, pp. 82–93. Available at: https://doi.org/10.1007/978-3-031-31183-3_7.

H.-G. Matuttis et al., “Computational investigation of the clustering of droplets in widening pipe geometries,” in Artificial Life and Evolutionary Computation, Apr. 2023, pp. 82–93. doi: 10.1007/978-3-031-31183-3_7.

MATUTTIS, Hans-Georg, Johannes Josef SCHNEIDER, Jin LI, David Anthony BARROW, Alessia FAGGIAN, Aitor PATIÑO DIAZ, Silvia HOLLER, Federica CASIRAGHI, Lorena Cebolla SANAHUJA, Martin Michael HANCZYC, Mathias Sebastian WEYLAND, Dandolo FLUMINI, Peter EGGENBERGER HOTZ, Pantelitsa DIMITRIOU, William David JAMIESON, Oliver CASTELL und Rudolf Marcel FÜCHSLIN, 2023. Computational investigation of the clustering of droplets in widening pipe geometries. In: Claudio DE STEFANO, Francesco FONTANELLA und Leonardo VANNESCHI (Hrsg.), Artificial Life and Evolutionary Computation. Conference paper. Cham: Springer. 30 April 2023. S. 82–93. ISBN 978-3-031-31182-6

Matuttis, Hans-Georg, Johannes Josef Schneider, Jin Li, David Anthony Barrow, Alessia Faggian, Aitor Patiño Diaz, Silvia Holler, et al. 2023. “Computational Investigation of the Clustering of Droplets in Widening Pipe Geometries.” Conference paper. In Artificial Life and Evolutionary Computation, edited by Claudio De Stefano, Francesco Fontanella, and Leonardo Vanneschi, 82–93. Cham: Springer. https://doi.org/10.1007/978-3-031-31183-3_7.

Matuttis, Hans-Georg, et al. “Computational Investigation of the Clustering of Droplets in Widening Pipe Geometries.” Artificial Life and Evolutionary Computation, edited by Claudio De Stefano et al., Springer, 2023, pp. 82–93, https://doi.org/10.1007/978-3-031-31183-3_7.