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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: 2022-11-25DOI registered: 2023-04-11

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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.
Keyword(s):
direct numerical simulation; drop breakup; emulsions; multiphase flows; phase-field models; turbulence
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):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1Binary ObjectBinaryVela-Martín, AlbertoNumerical simulated
2FigureFigVela-Martín, AlbertoNumerical simulated
3TitleTitleVela-Martín, AlbertoNumerical simulated
4File nameFile nameVela-Martín, AlbertoNumerical simulated
5VariableVariableVela-Martín, AlbertoNumerical simulated
6File formatFile formatVela-Martín, AlbertoNumerical simulated
7Binary Object (File Size)Binary (Size)BytesVela-Martín, AlbertoNumerical simulated
8DescriptionDescriptionVela-Martín, AlbertoNumerical simulated
Status:
Curation Level: Enhanced curation (CurationLevelC) * Processing Level: PANGAEA data processing level 2 (ProcLevel2)
Size:
60 data points

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