4.6 Article

Analysis of Dynamic Response of a Two Degrees of Freedom (2-DOF) Ball Bearing Nonlinear Model

Journal

APPLIED SCIENCES-BASEL
Volume 11, Issue 2, Pages -

Publisher

MDPI
DOI: 10.3390/app11020787

Keywords

ball bearings; nonlinear mathematical model; shape errors; radial internal clearance; diagnostics; recurrence analysis

Funding

  1. project Lublin University of Technology-Regional Excellence Initiative - Polish Ministry of Science and Higher Education [030/RID/2018/19]

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This paper presents a two degrees of freedom dimensionless mathematical model for ball bearings, considering nonlinear features such as stiffness, damping, and radial internal clearance. The study also investigates the effects of external load, eccentricity of the shaft-bearing system, and shape errors on the raceway. Analysis of the obtained responses provides rich information about the dynamics of the system.
Often the input values used in mathematical models for rolling bearings are in a wide range, i.e., very small values of deformation and damping are confronted with big values of stiffness in the governing equations, which leads to miscalculations. This paper presents a two degrees of freedom (2-DOF) dimensionless mathematical model for ball bearings describing a procedure, which helps to scale the problem and reveal the relationships between dimensionless terms and their influence on the system's response. The derived mathematical model considers nonlinear features as stiffness, damping, and radial internal clearance referring to the Hertzian contact theory. Further, important features are also taken into account including an external load, the eccentricity of the shaft-bearing system, and shape errors on the raceway investigating variable dynamics of the ball bearing. Analysis of obtained responses with Fast Fourier Transform, phase plots, orbit plots, and recurrences provide a rich source of information about the dynamics of the system and it helped to find the transition between the periodic and chaotic response and how it affects the topology of RPs and recurrence quantificators.

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