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http://dx.doi.org/10.25673/36457
Titel: | Dynamics of self-propelled particles passing a bottleneck |
Autor(en): | Mohammadi, Mahdieh Harth, Kirsten Puzyrev, Dmitry Hanselka, Tina Trittel, Torsten Stannarius, Ralf |
Erscheinungsdatum: | 2020 |
Art: | Artikel |
Sprache: | Englisch |
URN: | urn:nbn:de:gbv:ma9:1-1981185920-366898 |
Schlagwörter: | Granular particles Self-propelled particles Grains Bottleneck |
Zusammenfassung: | We study the passage of active and passive granular particles through a bottleneck under gravitational bias. The grains are pharmaceutical capsules with spherocylindrical shapes on a vibrating table. The vibrating ground plate is slightly tilted in order to break the in-plane symmetry and to give particles a motivation to move in a preferential direction. The passage through a narrow gate with openings comparable to the grain length is studied using video imaging. Particle positions and velocities are extracted from the recorded frames.We find striking differences between the behaviour of asymmetric, active capsules and symmetric, passive ones. The active grains show an astonishingly strong dependence of the passage rates on the gate width, while for passive grains, this dependence is linear as expected. The cumulative distributions of delays between subsequent particles passing the outlet, a key parameter in egress studies, also differ substantially between active and passive grains. Tilt angle and excitation parameters have only little influence on the observed dynamic features, they merely rescale time. |
URI: | https://opendata.uni-halle.de//handle/1981185920/36689 http://dx.doi.org/10.25673/36457 |
Open-Access: | Open-Access-Publikation |
Nutzungslizenz: | (CC BY 4.0) Creative Commons Namensnennung 4.0 International |
Sponsor/Geldgeber: | DFG-Publikationsfonds 2020 |
Journal Titel: | New journal of physics |
Verlag: | Dt. Physikalische Ges. |
Verlagsort: | [Bad Honnef] |
Band: | 22 |
Heft: | 2020 |
Originalveröffentlichung: | 10.1088/1367-2630/abcc1d |
Seitenanfang: | 1 |
Seitenende: | 16 |
Enthalten in den Sammlungen: | Fakultät für Naturwissenschaften (OA) |
Dateien zu dieser Ressource:
Datei | Beschreibung | Größe | Format | |
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Mohammadi et al._Dynamics_2020.pdf | Zweitveröffentlichung | 3.52 MB | Adobe PDF | Öffnen/Anzeigen |