Mechanistic insight and design optimization for rotary combined seal under high-temperature stress relaxation

The long-term reliability of rotary seals in high-temperature environments is compromised by material stress relaxation, which induces progressive leakage and eventual failure. This study investigates the underlying degradation mechanism through a coupled thermo-elasto-hydrodynamic lubrication model. The results reveal that stress relaxation causes a 30–40% decay in contact pressure and a ∼15% reduction in lubricant film thickness, precipitating interfacial failure. To counteract this degradation, a data-driven optimization framework integrating a neural network surrogate model and NSGA-II is developed. The optimized seal geometry recovers approximately 20% of the lost contact pressure and reduces film thickness thermal variability by ∼45%, demonstrating a potent design strategy to significantly enhance sealing durability under extreme thermal conditions.

Authors

Institutions

Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part J Journal of Engineering Tribology
Published
2026-10-15
DOI
https://doi.org/10.1177/13506501261498483
Primary Topic
Tribology and Lubrication Engineering
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mechanistic insight and design optimization for rotary combined seal under high-temperature stress relaxation

Xue Ling, Jianqiao Hu, Qin Zhou, Nan Wang et al.
Proceedings of the Institution of Mechanical Engineers Part J Journal of Engineering Tribology
Tribology and Lubrication Engineering
article

Mechanistic insight and design optimization for rotary combined seal under high-temperature stress relaxation

Xue Ling, Jianqiao Hu, Qin Zhou, Nan Wang, Mingzhe Li, Yikun Sun
article en

Abstract

The long-term reliability of rotary seals in high-temperature environments is compromised by material stress relaxation, which induces progressive leakage and eventual failure. This study investigates the underlying degradation mechanism through a coupled thermo-elasto-hydrodynamic lubrication model. The results reveal that stress relaxation causes a 30–40% decay in contact pressure and a ∼15% reduction in lubricant film thickness, precipitating interfacial failure. To counteract this degradation, a data-driven optimization framework integrating a neural network surrogate model and NSGA-II is developed. The optimized seal geometry recovers approximately 20% of the lost contact pressure and reduces film thickness thermal variability by ∼45%, demonstrating a potent design strategy to significantly enhance sealing durability under extreme thermal conditions.

Proceedings of the Institution of Mechanical Engineers Part J Journal of Engineering Tribology
Chinese Academy of Sciences (CN), China University of Geosciences (Beijing) (CN)
Openalex Percentile: Top 22%
Tribology and Lubrication Engineering
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.