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    A Quantitative Structure Tribo Ability Relationship Model for Ester Lubricant Base Oils 

    Source: Journal of Tribology:;2015:;volume( 137 ):;issue: 002:;page 21801
    Author(s): Gao, Xinlei; Wang, Zhan; Dai, Kang; Wang, Tingting
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Friction tests with point–point contact were carried out using a microtribometer to investigate the tribological characteristics of steel/steel rubbing pair immersed in 57 kinds of esters as lubricant base oils. A set ...
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    A Three Dimensional Quantitative Structure Tribo Ability Relationship Model 

    Source: Journal of Tribology:;2015:;volume( 137 ):;issue: 002:;page 21802
    Author(s): Gao, Xinlei; Wang, Zhan; Zhang, Hong; Dai, Kang
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The prediction of lubrication characteristics for compounds through tribological models would aid in the discovery of new lubricant additives and improved lubricant design. But until recently, the field of tribological ...
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    BPNN–QSTR Friction Model for Organic Compounds as Potential Lubricant Base Oils 

    Source: Journal of Tribology:;2016:;volume( 138 ):;issue: 003:;page 31801
    Author(s): Gao, Xinlei; Wang, Ruitao; Wang, Zhan; Dai, Kang
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A series of ball–disk contact friction tests were carried out using a microtribometer to study the tribological characteristics of steel/steel rubbing pairs immersed in 47 different organic compounds as lubricant base ...
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    Quantitative Structure Tribo Ability Relationship for Organic Compounds as Lubricant Base Oils Using CoMFA and CoMSIA 

    Source: Journal of Tribology:;2016:;volume( 138 ):;issue: 003:;page 31802
    Author(s): Gao, Xinlei; Liu, Denghui; Wang, Zhan; Dai, Kang
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The structures and the wear data of 47 different organic compounds as lubricant base oils were included in a comparative molecular field analysis (CoMFA) and comparative molecular similarity index analysis (CoMSIA)–quantitative ...
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    Estimating Antiwear Properties of Ionic Liquids as Lubricant Additives Using a QSTR Model 

    Source: Journal of Tribology:;2019:;volume( 141 ):;issue: 009:;page 91801
    Author(s): Song, Ze; Chen, Tao; Wang, Tingting; Wang, Zhan; Gao, Xinlei
    Publisher: American Society of Mechanical Engineers (ASME)
    Abstract: The antiwear properties of ionic liquids (ILs) as lubricant additives were studied with polyethylene glycol (PEG) used as the lubricant base oil. The quantum parameters of the ILs were calculated using a Hartree–Fock ab ...
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    A Quantitative Structure Tribo-Ability Relationship Model for Predicting the Antiwear Properties of Ionic Liquids as Lubricant Additives in Dimethyl Sulfoxide 

    Source: Journal of Tribology:;2020:;volume( 142 ):;issue: 010
    Author(s): Zhao, Jiang; Gao, Xinlei; Chen, Tao; Wang, Tingting; Li, Yang
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The structural parameters of 23 ionic liquids were calculated by the Hartree–Fock ab initio method. The relationship between the antiwear properties of ionic liquids dissolved in dimethyl sulfoxide and the structural ...
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    Solvation CoMFA-QSTR and CoMSIA-QSTR Models for Predicting the Antiwear Properties of Lubricant Additives 

    Source: Journal of Tribology:;2022:;volume( 144 ):;issue: 012:;page 121901
    Author(s): Huang, Chengrui;Lv, Sichao;Gao, Xinlei;Wang, Tingting;Chen, Hao;Wu, Li
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The relationship between the molecular structures of lubricant additives and their antiwear properties was assessed using 36 nitrogen-containing heterocyclic organic compounds to generate quantitative structure tribo-ability ...
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