<p>The aim of this study is to propose a time-varying sensitivity analysis method for the influencing parameters in heavy-duty hydrostatic thrust bearings. This method addresses the cross-scale evaluation issue of control parameters and provides theoretical guidance for optimal operation under varying working conditions. This study focuses on annular hydrostatic thrust bearings as the primary subject of research. Simulations and sensitivity analyses are conducted under various operating conditions, and the resulting data are compiled for further analysis. The simulation results indicate that turbulence and structural deformation under high-speed, heavy-duty conditions are the main causes of the reduced load-bearing performance of hydrostatic thrust bearings. Sensitivity analysis shows that among the factors influencing the load-carrying performance of heavy-duty hydrostatic thrust bearings, the degree of influence from greatest to least is: oil film gap, oil viscosity, and oil flow rate. Additionally, as the bearing load increases, the impact of oil viscosity becomes more significant. Therefore, real-time control of the bearing’s operating temperature is critical under heavy-load conditions. Furthermore, as the bearing load increases, the significance of oil viscosity becomes more pronounced. Therefore, real-time control of the bearing’s operating temperature is essential under heavy-load conditions. The simulation results indicate that turbulence and structural deformation under high-speed, heavy-duty conditions are the primary causes of the reduced load-bearing performance of hydrostatic thrust bearings. Sensitivity analysis reveals that the factors influencing the load-carrying performance of heavy-duty hydrostatic thrust bearings, ranked from greatest to least influence, are: oil film gap, oil viscosity, and oil flow rate. Furthermore, as the bearing load increases, the significance of oil viscosity becomes more pronounced. Therefore, real-time control of the bearing's operating temperature is essential under heavy-load conditions.</p>

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A time-varying sensitivity analysis method for influencing parameters of heavy-duty hydrostatic thrust bearings

  • Yingjun Guan,
  • Yingyuan Pan,
  • Weiqi Huang,
  • Mingqi Zhang,
  • Yong Liu,
  • Pengfei Chen

摘要

The aim of this study is to propose a time-varying sensitivity analysis method for the influencing parameters in heavy-duty hydrostatic thrust bearings. This method addresses the cross-scale evaluation issue of control parameters and provides theoretical guidance for optimal operation under varying working conditions. This study focuses on annular hydrostatic thrust bearings as the primary subject of research. Simulations and sensitivity analyses are conducted under various operating conditions, and the resulting data are compiled for further analysis. The simulation results indicate that turbulence and structural deformation under high-speed, heavy-duty conditions are the main causes of the reduced load-bearing performance of hydrostatic thrust bearings. Sensitivity analysis shows that among the factors influencing the load-carrying performance of heavy-duty hydrostatic thrust bearings, the degree of influence from greatest to least is: oil film gap, oil viscosity, and oil flow rate. Additionally, as the bearing load increases, the impact of oil viscosity becomes more significant. Therefore, real-time control of the bearing’s operating temperature is critical under heavy-load conditions. Furthermore, as the bearing load increases, the significance of oil viscosity becomes more pronounced. Therefore, real-time control of the bearing’s operating temperature is essential under heavy-load conditions. The simulation results indicate that turbulence and structural deformation under high-speed, heavy-duty conditions are the primary causes of the reduced load-bearing performance of hydrostatic thrust bearings. Sensitivity analysis reveals that the factors influencing the load-carrying performance of heavy-duty hydrostatic thrust bearings, ranked from greatest to least influence, are: oil film gap, oil viscosity, and oil flow rate. Furthermore, as the bearing load increases, the significance of oil viscosity becomes more pronounced. Therefore, real-time control of the bearing's operating temperature is essential under heavy-load conditions.