Vela-Martín, Alberto; Avila, Marc (2022): Memoryless drop breakup in turbulence [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.951271
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Published: 2022-11-25 • DOI registered: 2023-04-11
Abstract:
The breakup of drops and bubbles in turbulent fluids is a key mechanism in many environmental and engineering processes. Even in the well-studied dilute case, quantitative descriptions of drop fragmentation remain elusive and empirical models continue to proliferate. We here investigate drop breakup by leveraging a novel computer code, which enables the generation of ensembles of experiments with thousands of independent, fully-resolved simulations. We show that in homogeneous isotropic turbulence breakup is a memoryless process whose rate depends only on the Weber number. A simple model based on the computed breakup rates can accurately predict experimental measurements and demonstrates that dilute emulsions evolve through a continuous fragmentation process with exponentially increasing time scales. Our results suggest a non-vanishing breakup rate below the critical Kolmogorov-Hinze diameter, challenging the current paradigm of inertial drop fragmentation.
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Related to:
Vela-Martín, Alberto; Avila, Marc (2022): Memoryless drop breakup in turbulence. Science Advances, 8(50), eabp9561, https://doi.org/10.1126/sciadv.abp9561
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | Binary Object | Binary | Vela-Martín, Alberto | Numerical simulated | ||
| 2 | Figure | Fig | Vela-Martín, Alberto | Numerical simulated | ||
| 3 | Title | Title | Vela-Martín, Alberto | Numerical simulated | ||
| 4 | File name | File name | Vela-Martín, Alberto | Numerical simulated | ||
| 5 | Variable | Variable | Vela-Martín, Alberto | Numerical simulated | ||
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| 7 | Binary Object (File Size) | Binary (Size) | Bytes | Vela-Martín, Alberto | Numerical simulated | |
| 8 | Description | Description | Vela-Martín, Alberto | Numerical simulated |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Enhanced curation (CurationLevelC) * Processing Level: PANGAEA data processing level 2 (ProcLevel2)
Size:
60 data points
