摘要
建立了双列角接触球轴承结构优化的数学模型,用免疫优化算法,分别以额定动载荷、额定静载荷和两者的加权和为目标函数进行轴承结构的优化设计.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.并对比分析了遗传算法与免疫算法的优化结果.免疫算法可以有效实现优化设计,与轴承手册标准值相比,优化后的3210和3218轴承的额定动载荷和额定静载荷都提高了60%以上.
The optimal design model of double-row angular-contact ball bearing was es- tablished. Dynamic load rating, static load rating and the weighted sum of these two load ca- pacities were set as objective functions respectively, the bearings were optimally designed with immune algorithm. The design parameters included number of rolling elements in one row, the rolling element diameter, inner race groove curvature radii, outer race groove cur- vature radii and the pitch diameter. The optimal results of immune method were compared with those of genetic algorithm, and the immune algorithm achieved more efficient results. Furthermore, compared with the designs in the handbook of rolling bearings, dynamic load rating and static load rating of the optimized bearings （3210 and 3218） had an increase of more than 60 %.
出处
《航空动力学报》
EI
CAS
CSCD
北大核心
2015年第11期2810-2816,共7页
Journal of Aerospace Power
基金
国家自然科学基金(51375436)
关键词
双列角接触球轴承
优化设计
免疫算法
遗传算法
额定动载荷
额定静载荷
double-row angular-contact ball bearing
optimum design
immune algorithm
genetic algorithm
dynamic load rating
static load rating
