Bulletin of the American Physical Society
77th Annual Meeting of the Division of Fluid Dynamics
Sunday–Tuesday, November 24–26, 2024; Salt Lake City, Utah
Session C06: Interact: Drop and Bubbles
10:50 AM,
Sunday, November 24, 2024
Room: Ballroom F
Chair: Detlef Lohse, University of Twente
Abstract: C06.00007 : Spontaneous Chaos in a Droplet: Marangoni-Driven Flows in an Evaporating Binary Drop*
Presenter:
Alvaro Marin
(University of Twente, Department of Physics of Fluids)
Authors:
Alvaro Marin
(University of Twente, Department of Physics of Fluids)
Massimiliano Rossi
(University of Bologna, Alma Mater Studiorum)
David J van de Vliert
(University of Twente, Department of Physics of Fluids)
Duarte F Rocha
(University of Twente, Department of Physics of Fluids)
Christian Diddens
(University of Twente, Department of Physics of Fluids)
The spontaneous evaporation-driven flow in an ethanol-water droplet advects tracer particles in a complex three-dimensional and non-axisymmetric flow, with tracer particles jumping from unstable orbits oriented in all directions (even for thin droplets), featuring strong intermittencies and with particle velocities than can reach up to several droplet diameters per second.
Up to now, such a complex flow has been only studied using standard two-dimensional particle image velocimetry, which is insufficient to capture the flow's temporal and spatial complexity; and can easily suffer from depth of correlation issues [Rossi et al. Experiments in fluids 52 (2012): 1063-1075.]
In this work, using the open source method DefocusTracker, a 3D particle tracking technique developed by Barnkob & Rossi [Journal of Open Research Software, 9(1), 22, (2021).], we characterize the stability of the flow by carefully analyzing the three-dimensional trajectories with high spatial and time resolution in the context of chaotic advection.
The results are compared with the flows obtained by numerical simulations of Duarte Rocha, Detlef Lohse and Christian Diddens [oral contribution in this conference].
*This work has been supported by the Horizon Europe grant ERC-2022-PoC2, grant number 101101022
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