一种基于GA具有最大动载的车用圆锥滚子轴承优化方法  

Optimum Design of Tapered Roller Bearing for Vehicle Based on GA with Maximum Dynamic Load

作　　者：徐辉[1] 侯建伟 卢彦群[1] XU Hui;HOU Jianwei;LU Yanqun(Hebei University of Engineering,Hebei Handan 057000)

机构地区：[1]河北工程大学,河北邯郸057000

出　　处：《汽车实用技术》2021年第20期96-99,107,共5页Automobile Applied Technology

基　　金：河北省科技厅大智移云应用专项-圆锥滚子轴承双层复合智能化生产线研发(18211832D);河北省教育厅-面向新工科基于TRIZ的大学生创新能力培养模式研究(2019GJJG250)。

摘　　要：设计方法对汽车圆锥滚子轴承的性能、寿命和可靠性具有重要影响,从而也影响着使用该类轴承的汽车产品的工作性能和经济性能,因此,从所有可能的设计方案中找到一种最佳选择就显得十分重要。该研究从挖掘圆锥滚子轴承的最大动载荷入手,采用遗传算法(GA)设计具有较高性能的车用圆锥滚子轴承,研究过程中既满足了所有的边界条件,也获得了一个很大的多维搜索空间;研究结果表明,当搜索并迁移到一个更适宜的区域时,在该区域内轴承具有更高的额定动载荷,而且随着违例行为的增多,惩罚值呈指数增长,而对每一个违反约束的行为都进行一些惩罚,就可以得到更高的额定动载荷。所以,该研究为提高滚子轴承的最大动载荷,进而提高其使用性能和寿命找到了一种简便快捷的方法,为轴承设计提供了一种新的途径。The design method has an important influence on the performance,life and reliability of tapered roller bearings for agricultural machinery,as well as the working performance and economic performance of agricultural machinery using such bearings.The designer's responsibility is to choose the best solution from all possible solutions.Traditionally,the basic requirement of rolling bearings is to meet the maximum dynamic load.Using genetic algorithm(GA)to design tapered roller bearings with maximum dynamic load can satisfy all the boundary conditions and obtain a large multi-dimensional search space.Its purpose is to search and migrate to a more suitable region,that is to say,in this region,the bearing has higher rated dynamic load.This can be achieved by punishing every violation.With the increase of violations,the penalty value increases exponentially.

关 键 词：车辆 圆锥滚子轴承 最大载荷 遗传算法 优化设计 

分 类 号：TB535.2[理学—物理]