Mathematical Model of Double Row Self-Aligning Ball Bearing

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Authors

Ball bearings are widely used in variety of rotary mechanisms expecting their maintenance-free operation. One of the main factors influencing bearing life is radial internal clearance (RIC), which can be simply described as relative movement of ball and raceway perpendicular to the bearing axis. Mentioned parameter has a significant impact on dynamic response of applied ball bearing in the system and brings strong nonlinear effects. In the paper nonlinear 2 degrees of freedom (2-DOF) model of double-row self-aligning ball bearing is established. Mentioned type of bearing is very important from operation point of view, because it is used in applications, where strong misalignments are expected coming from assembly of shaft deflection. Model input data are based on characteristics of bearing 2309SK. Results of bearing dynamic response are studied for different values of radial internal clearance. For quantitative and qualitative analysis of nonlinear time series a few recurrence quantificators, providing information on bearing’s behavior regarding RIC’s value. Results can be used in the validation process with acceleration response coming from the real bearing node.

OriginalspracheEnglisch
TitelPerspectives in Dynamical Systems II — Numerical and Analytical Approaches - DSTA 2021
HerausgeberJan Awrejcewicz
Anzahl der Seiten11
VerlagSpringer Verlag
Erscheinungsdatum2024
Seiten29-39
ISBN (Print)978-3-031-56495-6
ISBN (elektronisch)978-3-031-56496-3
DOIs
PublikationsstatusErschienen - 2024
Veranstaltung16th International Conference on Dynamical Systems Theory and Applications - DSTA 2021 - Lodz, Polen
Dauer: 06.12.202109.12.2021
Konferenznummer: 16
https://assets-plus.eu/event/dsta-2021-16th-international-conference-dynamical-systems-theory-and-applications/

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Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

DOI

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  1. Daniel J. Lang

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