Energy Dissipation and Temperature Rise in Silicone Oil Torsional Dampers

Analytical models for energy dissipation and temperature rise in a silicone oil torsional damper are developed to investigate its thermal characteristics. An experimental test platform is established to measure the surface temperature rise in the damper, and experimental results are used to validate the proposed analytical model. Good agreement between the analytical predictions and experimental measurements demonstrates the reliability of the analytical model. The results show that the maximum temperature rise in the damper is influenced not only by the engine speed but also by the output torque. Increasing the thickness of the silicone oil layer leads to higher total energy dissipation and temperature rise, whereas increasing the kinematic viscosity of the silicone oil reduces both energy dissipation and temperature rise. In addition, decreasing either the width or the radius of the inertia ring effectively lowers the surface temperature rise in the damper. Under steady-state operating conditions, the surface temperature can be considered as the temperature of the silicone oil. It is also found that the peak temperature rise is exhibited at 2300 rpm (revolutions per minute) for the silicon oil damper used in the paper. These findings provide theoretical insight into the thermal characteristics of silicone oil dampers and offer useful guidance for designing structures with lower temperature rise.

Authors

Institutions

Publication Details

Journal
Machines
Published
2026-02-25
DOI
https://doi.org/10.3390/machines14030260
Primary Topic
Vibration Control and Rheological Fluids
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Energy Dissipation and Temperature Rise in Silicone Oil Torsional Dampers

Wanli Zuo, Lizhong Lin, Donghui Li, Qi Wu
Machines
Vibration Control and Rheological Fluids
article

Energy Dissipation and Temperature Rise in Silicone Oil Torsional Dampers

Wanli Zuo, Lizhong Lin, Donghui Li, Qi Wu
article en

Abstract

Analytical models for energy dissipation and temperature rise in a silicone oil torsional damper are developed to investigate its thermal characteristics. An experimental test platform is established to measure the surface temperature rise in the damper, and experimental results are used to validate the proposed analytical model. Good agreement between the analytical predictions and experimental measurements demonstrates the reliability of the analytical model. The results show that the maximum temperature rise in the damper is influenced not only by the engine speed but also by the output torque. Increasing the thickness of the silicone oil layer leads to higher total energy dissipation and temperature rise, whereas increasing the kinematic viscosity of the silicone oil reduces both energy dissipation and temperature rise. In addition, decreasing either the width or the radius of the inertia ring effectively lowers the surface temperature rise in the damper. Under steady-state operating conditions, the surface temperature can be considered as the temperature of the silicone oil. It is also found that the peak temperature rise is exhibited at 2300 rpm (revolutions per minute) for the silicon oil damper used in the paper. These findings provide theoretical insight into the thermal characteristics of silicone oil dampers and offer useful guidance for designing structures with lower temperature rise.

MachinesVol. 14(3)
Ningbo University (CN), Tianjin University (CN)
Affordable and clean energy
Openalex Percentile: Top 45%
Vibration Control and Rheological Fluids
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.