材料科学
润滑
摩擦学
复合数
吸附
纳米颗粒
化学工程
润滑油
复合材料
磨料
分散稳定性
色散(光学)
X射线光电子能谱
油酸
摩擦系数
表面能
液体石蜡
磨损(机械)
分子动力学
热液循环
纳米压痕
纳米复合材料
表面改性
表面力仪
密度泛函理论
微观结构
作者
Yue Huang,Jinyu Liu,Tianxia Liu,Yuting Hong,Xianguo Hu
标识
DOI:10.1021/acs.iecr.5c04148
摘要
This study successfully prepared oleic-acid-modified nitrated soot-loaded TiO2 composite material (CS/TiO2) using the hydrothermal method, aiming to explore the tribological performance and lubrication mechanism of the synergistic effect between CS and TiO2. This composite material significantly improves its dispersion stability in lubricating oil by growing TiO2 nanoparticles in situ on the CS surface and grafting them onto the oleic acid surface. Through the four-ball friction and wear test, it was found that when the concentration of CS/TiO2 added to liquid paraffin (LP) was 0.4 wt %, it exhibited the best antifriction and antiwear performance. Compared with the LP, the average friction coefficient and average wear scar diameter were reduced by 36.6 and 14.3%, respectively. XPS and SEM analysis of the worn surface showed that CS/TiO2 formed a lubricating protective film rich in C, O, and Fe on the surface of the steel ball through frictional chemical reactions during the friction process. Mechanism studies have shown that TiO2 nanoparticles have the polishing effect of “micro bearings”, while CS constructs a hard carbon-based lubricating film, and the two mechanisms work together to reduce direct contact on the friction surface. Density functional theory (DFT) and molecular dynamics (MD) simulations further reveal at the atomic scale that the long-chain molecular steric hindrance effect of CS effectively suppresses the aggregation of TiO2, increases the adsorption energy of the composite material at the metal interface, and forms a stable and continuous friction film, endowing the composite material with excellent long-term effectiveness and high load lubrication potential. This study provides a new paradigm for developing efficient carbon-based lubricant additives.
科研通智能强力驱动
Strongly Powered by AbleSci AI