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Flow-structure identification in a radially grooved open wet clutch by means of defocusing particle tracking velocimetry

Leister, Robin ORCID iD icon 1; Fuchs, Thomas; Mattern, Philipp; Kriegseis, Jochen ORCID iD icon 1
1 Institut für Strömungsmechanik (ISTM), Karlsruher Institut für Technologie (KIT)


The volumetric defocusing particle tracking velocimetry (DPTV) approach is applied to measure the flow in the sub-millimeter gap between the disks of a radially grooved open wet clutch. It is shown that DPTV is capable of determining the in-plane velocities with a spatial resolution of 12μm
along the optical axis, which is sufficient to capture the complex and small flow structures in the miniature clutch grooves. A Couette-like velocity profile is identified at sufficient distance from the grooves. Moreover, the evaluation of the volumetric flow information in the rotor-fixed frame of reference uncovers a vortical structure inside the groove, which resembles a cavity roller. This vortex is found to extend well into the gap, such that the gap flow is displaced towards the smooth stator wall. Hence, the wall shear stress at the stator significantly increases in the groove region by up to 15%
as compared to the ideal linear velocity profile. Midway between the grooves, the wall shear stress is around 4%
lower than the linear reference. Furthermore, significant amounts of positive radial fluxes are identified inside the groove of the rotor; their counterpart are negative fluxes in the smooth part of the gap. ... mehr

Verlagsausgabe §
DOI: 10.5445/IR/1000129426
Veröffentlicht am 18.03.2021
DOI: 10.1007/s00348-020-03116-0
Zitationen: 13
Web of Science
Zitationen: 12
Zitationen: 14
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Strömungsmechanik (ISTM)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 02.2021
Sprache Englisch
Identifikator ISSN: 0723-4864, 1432-1114
KITopen-ID: 1000129426
Erschienen in Experiments in fluids
Verlag Springer
Band 62
Heft 2
Seiten Article: 29
Vorab online veröffentlicht am 30.01.2021
Nachgewiesen in Dimensions
Web of Science
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