A methodology for image-based measurement of plate movement in disengaged wet clutches.

Drag losses Edge detection Object identification Plate movement Wet clutch

Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
01 Apr 2024
Historique:
received: 22 01 2024
accepted: 25 03 2024
medline: 2 4 2024
pubmed: 2 4 2024
entrez: 1 4 2024
Statut: epublish

Résumé

The drag loss behavior of a disengaged wet clutch is influenced, among other things, by the movement of the plates. Therefore, knowledge about the plate movement is essential for investigating and optimizing the drag loss behavior. This paper presents a methodology for image-based measurement of plate movement in disengaged wet clutches. A drag torque test rig is equipped with a camera to create the image series. The oil displacement from the measuring zone is crucial to obtain permanent optical access to the clutch pack. The rough plate positions are determined by segmentation using thresholding and template matching. Using the Canny edge detector significantly improves the accuracy of the position evaluation. The plate positions are finally converted into a metric unit based on the real plate thicknesses. The clearances are calculated from the determined positions of two adjacent plates. In the ideal case, an evaluation accuracy in the range of a few micrometers can be achieved. The image evaluation methodology is universally applicable to different clutch sizes, friction systems, plate types, and plate numbers. The methodology enables researchers to generate fundamental knowledge and derive design guidelines based on this, for example. In the development phase, it can also be used to optimize the design and operating parameters.

Identifiants

pubmed: 38561374
doi: 10.1038/s41598-024-58012-y
pii: 10.1038/s41598-024-58012-y
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

7631

Informations de copyright

© 2024. The Author(s).

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Auteurs

Lukas Pointner-Gabriel (L)

School of Engineering and Design, Department of Mechanical Engineering, Gear Research Center (FZG), Technical University of Munich, 85748, Garching, Munich, Germany. lukas.pointner-gabriel@tum.de.

Simon Flamm (S)

School of Engineering and Design, Department of Mechanical Engineering, Gear Research Center (FZG), Technical University of Munich, 85748, Garching, Munich, Germany.

Thomas Schneider (T)

School of Engineering and Design, Department of Mechanical Engineering, Gear Research Center (FZG), Technical University of Munich, 85748, Garching, Munich, Germany.

Karsten Stahl (K)

School of Engineering and Design, Department of Mechanical Engineering, Gear Research Center (FZG), Technical University of Munich, 85748, Garching, Munich, Germany.

Classifications MeSH