Abstract： Considering the coupling effects of dynamic performances of rolling bearing and rotor system, dynamical equations are constructed by using the finite element method, which containing the shaft, bearings, disc. The dynamic performances of rolling bearing can be calculated by quasi-dynamic model after the rotor response reaches a stable value. Taking rated dynamic load, stiffness, spin-to-roll ratio as the objective functions, multi-objective optimization design is developed based on the genetic algorithm NSGA II, the effect of structural parameters on the bearing dynamic performances are analyzed. Taking a rotor system supported by ball bearings as an example, the results show that the dynamic load decreases, radial stiffness increases and spin-to-roll ratio increases as the outer groove curvature increases. The dynamic load decreases, radial stiffness decreases and spin-to-roll ratio decreases as the inner groove curvature increases. The dynamic load increases, radial stiffness increases and spin-to-roll ratio increases as the diameter of balls increases. The largest affection to the optimization results of the dynamic performance is inner groove curvature parameter. In high-speed rotor system, in order to obtain better supporting dynamic performance, the coupling effect of rotor system should be considered in the multi-objective optimization design.
2012, Vol. 31 
