Stacking ensemble learning framework for predicting tribological properties and optimal additive ratios of amide-based greases
This study employs a stacking ensemble learning framework to establish a regression model for predicting the tribological properties of amide-based lubricating grease and determining the optimal additive ratios. Melamine cyanuric acid (MCA) was selected as the thickener, and three extreme-pressure a...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Tsinghua University Press
2025-07-01
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| Series: | Friction |
| Subjects: | |
| Online Access: | https://www.sciopen.com/article/10.26599/FRICT.2025.9440982 |
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