基于遗传算法的高速轴承油膜稳定性能优化

Optimization of High Speed Bearing for Improvement of the Oil Film Stability Performance Based on Genetic Algorithms

针对液体滑动轴承由于高速化导致的主轴稳定性能下降的问题,提出了基于遗传算法的高速轴承油膜稳定性能的优化方法。该方法首先采用动网格方法对主轴轴心轨迹进行计算分析,并对计算得到的稳态椭圆涡动轨迹用最小二乘法进行圆拟合。然后将得到的拟合圆半径作为优化目标,轴承参数作为优化变量,建立高速轴承油膜稳定性能优化模型,并采用遗传算法对其进行求解。最后通过对工程实例的求解验证了本文方法可有效地提高高速轴承油膜的稳定性能。

An optimization method based on genetic algorithms is suggested to improve the： oil film stability performance of high speed bearings, which may be degraded by the high speed. Firstly, the moving mesh method was used to calculate the trajectory of the spindle. Secondly, the obtained steady elliptic vortex trajectory was circle fitted by the least square method. After that, genetic algorithms were used to optimization problem of the high speed bearing for minimizing the radius of the fitting circle. Eventually, this method was used to the optimization of a high speed bearing. Numerical results have demonstrated that it can effectively improve the oil film stability performance.