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Application of quantitative structure tribo-ability relationship model developed by random forest algorithm in polyimide-induced alignment superlubricity system

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成果类型:
期刊论文
作者:
Wenbo Zhang;Rui Yu*;Yuwei Cheng;Xinlei Gao
通讯作者:
Rui Yu
作者机构:
[Wenbo Zhang; Xinlei Gao] School of Materials Science and Engineering, Hubei University, Wuhan 430062, China
National Key Laboratory of Aerospace Chemical Power, Xiangyang 441003, China
Hubei Institute of Aerospace Chemistry Technology, Xiangyang 441003, China
[Yuwei Cheng] School of Chemical and Environmental Engineering, Wuhan Polytechnic University, Wuhan 430023, China
[Rui Yu] National Key Laboratory of Aerospace Chemical Power, Xiangyang 441003, China<&wdkj&>Hubei Institute of Aerospace Chemistry Technology, Xiangyang 441003, China
通讯机构:
[Rui Yu] N
National Key Laboratory of Aerospace Chemical Power, Xiangyang 441003, China<&wdkj&>Hubei Institute of Aerospace Chemistry Technology, Xiangyang 441003, China
语种:
英文
期刊:
Tribology International
ISSN:
0301-679X
年:
2026
卷:
213
页码:
111087
基金类别:
CRediT authorship contribution statement Rui Yu: acquisition. Yuwei Cheng: Writing – original draft. Wenbo Zhang: Writing – review & editing, Writing – original draft. Xinlei Gao: Writing – review & editing, Writing – original draft, acquisition.
机构署名:
本校为其他机构
院系归属:
化学与环境工程学院
摘要:
In this study, 38 organic compounds were used as lubricants in the GCr15 steel/polyimide (PI) friction system to systematically compare the influence mechanism of lubricant molecular structures on the friction performance of the system. Quantitative structure tribo-ability relationship (QSTR) models linking structural descriptors with coefficients of friction were established using random forest (RF) and extreme gradient boosting (XGBoost) algorithms, respectively. Based on comparisons of performance metrics such as fitting degree and generalization ability, the QSTR model developed by the RF ...

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