扇形推力轴承边界滑移区域的优化设计

Based on the two-component slippage model, the Genetic Algorithm is used to optimize the boundary slippage region of sectorial thrust bearing with the objective of low friction coefficient. The tribological properties of sectorial thrust bearing with whole no-slippage, whole slippage, half-slippage and optimized slippage surface are discussed and compared, and the mechanism is revealed. Meanwhile, the influence of width, convergence rate and slippage length of bearing on the improvement of tribological performance is analyzed, and tribological experiments of four different slippage surfaces are conducted . The results show that an asymmetric stepped trapezoidal boundary slippage region optimization scheme is obtained by optimizing the boundary slippage region of sectorial thrust bearing, and the optimized region narrows gradually along the direction of lubricating oil flow at the bearing inlet; The bearing capacity of the optimized slippage surface is increased by 96.1%, 279.5% and 8.7%, and the friction coefficient is decreased by 58.0%, 59.8% and 13.2%, respectively, compared with that of whole no-slippage, whole slippage and half-slippage surface. The mechanism may be that the optimized slippage surface increases the flow of inlet lubricating oil and enhances the hydrodynamic pressure effect. For sectorial thrust bearings with smaller width, smaller convergence rate and larger slippage length, this asymmetric stepped trapezoidal boundary slippage surface can significantly improve the tribological properties. The optimized slippage surface has been verified to have a smaller friction coefficient compared to the other three slippage surfaces through tribological experiments, which has reference value for the design and engineering application of sectorial thrust bearings.