Research on the Static Thermal Degradation Law of Lubricating Grease for Wind Power Bearings

This research addresses the issue of lubricant performance degradation in the main shaft bearings of wind turbines. Through multi-temperature accelerated aging tests, the static thermal degradation patterns were elucidated, and an aging model was developed. Initially, 176 samples were prepared at temperatures of 80 °C, 100 °C, 120 °C, and 140 °C using the static thermal degradation method, with 44 samples at each temperature point. Subsequently, key parameters such as the quality change rate, penetration, oil separation rate, and evaporation amount of the lubricant were systematically measured. Ultimately, the mathematical aging model of the lubricant was derived by fitting the aging kinetics model. The results indicate that as aging time and temperature increase, the degradation characteristics of the lubricant, such as quality change rate, penetration, oil separation rate, and evaporation amount, exhibit discernible patterns. The mathematical aging model was successfully fitted, with the maximum deviation generally within 20% of the error margin, meeting the established criteria. This research provides a theoretical foundation for the establishment of a lubricant condition monitoring system in wind farms. Predicting the performance inflection point of the lubricant can effectively prevent unplanned bearing shutdowns resulting from lubrication failures, thereby offering significant engineering value in enhancing the operational reliability of wind turbine units.

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Publication Details

Journal
Lubricants
Published
2025-03-20
DOI
https://doi.org/10.3390/lubricants13030134
Citations
2
Primary Topic
Gear and Bearing Dynamics Analysis
Type
article
Field-Weighted Citation Impact
1.43

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article

Research on the Static Thermal Degradation Law of Lubricating Grease for Wind Power Bearings

Zhiwei Wang, Yuqing Fan, Gaofeng Wang, Heng Tian et al.
2 citations
Lubricants
Gear and Bearing Dynamics Analysis
1.43
article

Research on the Static Thermal Degradation Law of Lubricating Grease for Wind Power Bearings

Zhiwei Wang, Yuqing Fan, Gaofeng Wang, Heng Tian, Yan Liu
article en
2 citations

Abstract

This research addresses the issue of lubricant performance degradation in the main shaft bearings of wind turbines. Through multi-temperature accelerated aging tests, the static thermal degradation patterns were elucidated, and an aging model was developed. Initially, 176 samples were prepared at temperatures of 80 °C, 100 °C, 120 °C, and 140 °C using the static thermal degradation method, with 44 samples at each temperature point. Subsequently, key parameters such as the quality change rate, penetration, oil separation rate, and evaporation amount of the lubricant were systematically measured. Ultimately, the mathematical aging model of the lubricant was derived by fitting the aging kinetics model. The results indicate that as aging time and temperature increase, the degradation characteristics of the lubricant, such as quality change rate, penetration, oil separation rate, and evaporation amount, exhibit discernible patterns. The mathematical aging model was successfully fitted, with the maximum deviation generally within 20% of the error margin, meeting the established criteria. This research provides a theoretical foundation for the establishment of a lubricant condition monitoring system in wind farms. Predicting the performance inflection point of the lubricant can effectively prevent unplanned bearing shutdowns resulting from lubrication failures, thereby offering significant engineering value in enhancing the operational reliability of wind turbine units.

LubricantsVol. 13(3)
Henan University of Science and Technology (CN), Luoyang Institute of Science and Technology (CN)
National Natural Science Foundation of China, Henan Provincial Science and Technology Research Project
Openalex Percentile: Top 22%
Gear and Bearing Dynamics Analysis
1.43
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