A Detailed Multibody Simulation Model for Ball Bearings to Predict Friction and Electrical Capacitance
Abstract
A multibody simulation model for deep-groove ball bearings is presented. The model considers friction in both the raceway and cage contacts, resulting from radial and axial loads. The model is validated against experimental measurements for a 6319 bearing under oil-bath lubrication over a speed range of 500–3000 min−1 and two load ratios (C/P=10 and 6.5). Predicted friction torques show good agreement with measurements, with deviations between 5.5% and 22% at moderate speeds. In addition, electrical contact capacitances are calculated for a 6208 bearing and compared with an analytical approach, showing deviations in the range of 10–14%. Beyond friction prediction, the fully dynamic approach enables time-resolved analysis of roller kinematics and the identification of instability limits under axial excitation. The developed tool therefore enables reliable bearing loss prediction, supports efficiency-oriented drivetrain design, and provides a basis for electro-tribological and stability investigations.
Fields of Study & Subjects
Gear and Bearing Dynamics Analysis
Adhesion
Friction
and Surface Interactions
Iterative Learning Control Systems
Publication details
- Journal / source
- Lubricants
- Publisher
- MDPI AG
- Volume
- 14
- Issue
- 4
- Pages
- 154–154
- Publication date
- 3 April 2026
- Language
- EN