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Geometric descriptors for the prediction of snowflake drag

Köbschall, Kilian ; Breitenbach, Jan ; Roisman, Ilia V. ; Tropea, Cameron ; Hussong, Jeanette (2023)
Geometric descriptors for the prediction of snowflake drag.
In: Experiments in Fluids, 64
doi: 10.1007/s00348-022-03539-x
Artikel, Bibliographie

Kurzbeschreibung (Abstract)

The dynamics of solid particles of complex shapes such as airborne snowflakes are governed by aerodynamic drag forces that are a function of the relative velocity of the particle in the flow and the particle drag coefficient, which depends on the particle geometry and its orientation. In this study, artificial snowflakes are produced by additive manufacturing and their drag coefficients are obtained by measuring the terminal velocity in a liquid container, matching the Reynolds number typically encountered in natural occurrences. The experimental results show that the convex hull of the particle is suitable to accurately predict the drag force with existing correlations. Since it is unfeasible to accurately measure the three-dimensional geometries of natural snowflakes, the approximation with the convex hull provides a useful simplification. Furthermore, the known shapes of the artificial snowflakes are used to develop correlations to estimate the most relevant three-dimensional descriptors to predict the drag of snowflakes from a two-dimensional projection onto an arbitrary plane.

Typ des Eintrags: Artikel
Erschienen: 2023
Autor(en): Köbschall, Kilian ; Breitenbach, Jan ; Roisman, Ilia V. ; Tropea, Cameron ; Hussong, Jeanette
Art des Eintrags: Bibliographie
Titel: Geometric descriptors for the prediction of snowflake drag
Sprache: Englisch
Publikationsjahr: 23 Dezember 2023
Verlag: Springer Nature
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Experiments in Fluids
Jahrgang/Volume einer Zeitschrift: 64
DOI: 10.1007/s00348-022-03539-x
URL / URN: https://link.springer.com/article/10.1007/s00348-022-03539-x
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Kurzbeschreibung (Abstract):

The dynamics of solid particles of complex shapes such as airborne snowflakes are governed by aerodynamic drag forces that are a function of the relative velocity of the particle in the flow and the particle drag coefficient, which depends on the particle geometry and its orientation. In this study, artificial snowflakes are produced by additive manufacturing and their drag coefficients are obtained by measuring the terminal velocity in a liquid container, matching the Reynolds number typically encountered in natural occurrences. The experimental results show that the convex hull of the particle is suitable to accurately predict the drag force with existing correlations. Since it is unfeasible to accurately measure the three-dimensional geometries of natural snowflakes, the approximation with the convex hull provides a useful simplification. Furthermore, the known shapes of the artificial snowflakes are used to develop correlations to estimate the most relevant three-dimensional descriptors to predict the drag of snowflakes from a two-dimensional projection onto an arbitrary plane.

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Artikel-Nr. 4

Fachbereich(e)/-gebiet(e): 16 Fachbereich Maschinenbau
16 Fachbereich Maschinenbau > Fachgebiet Strömungslehre und Aerodynamik (SLA)
TU-Projekte: EC/H2020|824310|ICE GENESIS
Hinterlegungsdatum: 21 Jun 2023 05:26
Letzte Änderung: 21 Jun 2023 08:42
PPN: 508947766
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