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Estimating antiwear properties of esters as potential lubricantbased oils using QSTR models with CoMFA and CoMSIA

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成果类型:
期刊论文
作者:
Wang, Zhan;Wang, Tingting;Yang, Guoyan;Gao, Xinlei*;Dai, Kang
通讯作者:
Gao, Xinlei
作者机构:
[Yang, Guoyan; Wang, Zhan] Wuhan Polytech Univ, Coll Food Sci & Engn, Wuhan 430023, Hubei, Peoples R China.
[Wang, Tingting; Gao, Xinlei] Wuhan Polytech Univ, Sch Chem & Environm Engn, Wuhan 430023, Hubei, Peoples R China.
[Dai, Kang] South Cent Univ Nationalities, Coll Pharm, Wuhan 430074, Hubei, Peoples R China.
通讯机构:
[Gao, Xinlei] W
Wuhan Polytech Univ, Sch Chem & Environm Engn, Wuhan 430023, Hubei, Peoples R China.
语种:
英文
关键词:
quantitative structure tribo-ability relationship;antiwear properties;lubricant-based oils
关键词(中文):
润滑油;润滑性能;产品分析;物理性能
期刊:
摩擦(英文)
ISSN:
2223-7690
年:
2018
卷:
6
期:
3
页码:
289-296
基金类别:
National Nature Science Foundation of China (NSFC)National Natural Science Foundation of China (NSFC) [51675395]
机构署名:
本校为第一且通讯机构
院系归属:
食品科学与工程学院
化学与环境工程学院
摘要:
Comparative molecular field analysis and comparative molecular similarity indices analysis were employed to analyze the antiwear properties of a series of 57 esters as potential lubricant-based oils. Predictive 3D-quantitative structure tribo-ability relationship models were established using the SYBYL multifit molecular alignment rule with a training set and a test set. The optimum models were all shown to be statistically significant with cross-validated coefficients q2 > 0.5 and conventional coefficients r2 > 0.9, indicating that the models ...

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