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A Quantitative Structure Tribo Ability Relationship Model for Ester Lubricant Base Oils
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 ...
A Three Dimensional Quantitative Structure Tribo Ability Relationship Model
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 ...
BPNN–QSTR Friction Model for Organic Compounds as Potential Lubricant Base Oils
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 ...
Quantitative Structure Tribo Ability Relationship for Organic Compounds as Lubricant Base Oils Using CoMFA and CoMSIA
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 ...