森吉米尔式轧机轴承的优化设计  

Optimum Design of Sendzimir Mill Rolling Bearings

作　　者：张钢[1] 张彪[1] 刘莹[1] 郭昆峰 阮娟[1] 

机构地区：[1]上海大学机电工程与自动化学院,上海200072 [2]上海特安一凯轴承有限公司,上海201203

出　　处：《轴承》2009年第6期5-7,共3页Bearing

摘　　要：分析了森吉米尔式轧机轴承的受力特点,采用多目标遗传算法对其结构进行了优化设计。优化算法采用M atlab遗传工具箱处理约束条件的非线性问题,并编制了基于图形界面GUI(G raph User Interface)构建的用户界面。并以MCBB0015为例进行了实际计算,优化后轴承的额定动载荷及疲劳寿命分别提高了8%和35%。The structure of Sendzimir mill rolling bearing is optimized by Multi - objective Genetic Algorithms with analyzing its characteristics. The Optimization algorithm uses Matlab Genetic Algorithm and Direct Search Toolbox to deal with the non - linear constraints, and build the user interface based on Graph User Interface. The practice calculation is done for bearing MCBB0015, and the results show that the dynamic load rating and fatigue life of the optimized bearing has increase 8% and 35% respectively.

关 键 词：滚动轴承 轧机轴承 遗传算法 优化设计 

分 类 号：TH133.33[机械工程—机械制造及自动化] TG333.17[金属学及工艺—金属压力加工]