Application of quantitative structure tribo-ability relationship model in polyimide-induced alignment superlubricity system

Abstract

To investigate how the molecular structure of lubricants influences polyimide-induced alignment superlubricity system, we developed quantitative structure tribo-ability relationship (QSTR) models. These models aim to uncover the relationship between lubricant molecular structures and the phenomena of induced alignment superlubricity. Thirty-eight organic compounds and two ionic liquids underwent testing, with friction experiments carried out using GCr15 steel paired with polyimide. We crafted three distinct models based on two-dimensional (2D) descriptors, three-dimensional (3D) descriptors, and a combination of both. The results indicate that all three models exhibit impressive accuracy, robustness, and predictive ability. By analyzing the impact of different descriptors on lubrication systems, we offer several suggestions regarding molecular structural characteristics that enhance alignment superlubricity.