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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:
    Song, Ze
    ,
    Chen, Tao
    ,
    Wang, Tingting
    ,
    Wang, Zhan
    ,
    Gao, Xinlei
    DOI: 10.1115/1.4043904
    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 initio method. Correlation between the scale of the wear scar diameter and quantum parameters of the ILs was studied by multiple linear regression (MLR) analysis. A quantitative structure tribo-ability relationship (QSTR) model was built with a good fitting effect and predictive ability. The results show that the entropy of the ILs is the main descriptor affecting the antiwear performance of the lubricant system. To improve the antiwear performance of the lubricants, the entropy of the system should be decreased, reducing the system randomness and increasing the system regularity. A major influencing factor on the entropy of a system is the intra- and intermolecular hydrogen bonds present. Therefore, enhanced antiwear properties of lubricants could be achieved with a three-dimensional netlike structure of lubricant formed by hydrogen bonding.
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      Estimating Antiwear Properties of Ionic Liquids as Lubricant Additives Using a QSTR Model

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4258182
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    contributor authorSong, Ze
    contributor authorChen, Tao
    contributor authorWang, Tingting
    contributor authorWang, Zhan
    contributor authorGao, Xinlei
    date accessioned2019-09-18T09:02:34Z
    date available2019-09-18T09:02:34Z
    date copyright6/12/2019 12:00:00 AM
    date issued2019
    identifier issn0742-4787
    identifier othertrib_141_9_091801
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4258182
    description abstractThe 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 initio method. Correlation between the scale of the wear scar diameter and quantum parameters of the ILs was studied by multiple linear regression (MLR) analysis. A quantitative structure tribo-ability relationship (QSTR) model was built with a good fitting effect and predictive ability. The results show that the entropy of the ILs is the main descriptor affecting the antiwear performance of the lubricant system. To improve the antiwear performance of the lubricants, the entropy of the system should be decreased, reducing the system randomness and increasing the system regularity. A major influencing factor on the entropy of a system is the intra- and intermolecular hydrogen bonds present. Therefore, enhanced antiwear properties of lubricants could be achieved with a three-dimensional netlike structure of lubricant formed by hydrogen bonding.
    publisherAmerican Society of Mechanical Engineers (ASME)
    titleEstimating Antiwear Properties of Ionic Liquids as Lubricant Additives Using a QSTR Model
    typeJournal Paper
    journal volume141
    journal issue9
    journal titleJournal of Tribology
    identifier doi10.1115/1.4043904
    journal fristpage91801
    journal lastpage091801-7
    treeJournal of Tribology:;2019:;volume( 141 ):;issue: 009
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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