Shashivar Syla
Shashivar Syla
*This is an algorithmically generated author record based on publicly available information.
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Shashivar Syla has a total of 4 co-authors. Here are the top co-authors by number of shared publications:
- Kim Marius Brill
Chair of Machine Elements, Gears and Tribology, RPTU University Kaiserslautern-Landau, 67663 Kaiserslautern, Germany
1 shared publication - Oliver Koch
Chair of Machine Elements, Gears and Tribology, RPTU Kaiserslautern-Landau, 67663 Kaiserslautern, Germany
1 shared publication - Simon Graf
Machine Elements, Gears and Tribology (MEGT), RPTU University Kaiserslautern-Landau
1 shared publication - Stefan Paulus
Machine Elements, Gears and Tribology (MEGT), RPTU University Kaiserslautern-Landau
1 shared publication
Latest Publications
- Open Access
- 3 April 2026
- Published by MDPI AG in Lubricants
- Vol. 14 (4) , 154
A Detailed Multibody Simulation Model for Ball Bearings to Predict Friction and Electrical Capacitance
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 ( 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.- 3 April 2026
- Published by MDPI AG in Lubricants
- Vol. 14 (4) , 154
Open AccessA Detailed Multibody Simulation Model for Ball Bearings to Predict Friction and Electrical Capacitance
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 ( 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.