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This study investigates the impact of graphene oxide (GO) particles concentration on gear churn lubrication patterns and tooth surface self-healing properties through a combination of computational fluid dynamics (CFD) simulation and experimental exploration. A novel nanofluid lubrication experiment setup is established. To accurately simulate the motion characteristics of rotating fluid and GO particles, the sliding grid method and VOF-DPM multiphase flow model are employed. The distribution states of lubrication oil are analyzed at various gear rotational speeds ranging from 600 to 1800 r/min. Particle trajectories align with experimental observations, including adherent, ejection, and splash flow. The interaction between nanoparticles and gears involves complex dynamics influenced by fluid adhesion, centrifugal force, and the interplay with the gear surfaces.

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Innovative CFD and Experimental Insights into Graphene Oxide-Enhanced Gear Lubrication

  • 会议论文

  • 发表日期：

    2026年

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  • Jie Su,
  • Xinghe Jiang,
  • Bo Hu,
  • Changjiang Zhou,
  • Zhaoyao Shi

摘要

This study investigates the impact of graphene oxide (GO) particles concentration on gear churn lubrication patterns and tooth surface self-healing properties through a combination of computational fluid dynamics (CFD) simulation and experimental exploration. A novel nanofluid lubrication experiment setup is established. To accurately simulate the motion characteristics of rotating fluid and GO particles, the sliding grid method and VOF-DPM multiphase flow model are employed. The distribution states of lubrication oil are analyzed at various gear rotational speeds ranging from 600 to 1800 r/min. Particle trajectories align with experimental observations, including adherent, ejection, and splash flow. The interaction between nanoparticles and gears involves complex dynamics influenced by fluid adhesion, centrifugal force, and the interplay with the gear surfaces.