基于遗传算法的双列角接触球轴承优化设计

Optimal design of double-row angular-contact ball bearing based on genetic algorithm

利用遗传算法,分别以额定动载荷和额定静载荷为目标函数,对双列角接触球轴承进行优化设计。轴承的设计变量包括每列的钢球数、钢球直径、内滚道沟曲率半径系数、外滚道沟曲率半径系数和轴承节圆直径。与标准值设计方案相比,优化后的轴承有更高的额定动载荷和额定静载荷;并且不同的目标函数下获得的轴承优化设计方案的变量值不相同。

A double-row angular-contact ball bearing was optimized based on genetic algorithm in which the dynamic load rating and static load rating were taken as objective functions. The design variables included the number of rolling elements in one row, the diameter of a rolling element, the curvature radii of inner race groove, the curvature radii of outer race groove and the pitch diameter. Compared to those listed in standard catalogs, the optimized bearings have higher dynamic and static load rating. Moreover, different objective functions result in different optimal parameters.