考虑弹流润滑的圆柱滚子轴承多目标智能优化设计  

Multi-objective Optimal Design of Cylindrical Roller Bearing with the Consideration of EHL Effect Based on Hybrid Intelligence Algorithm

作　　者：武福[1,2] 杨喜娟[1] 王晓峰 李峰[1] 张治娟[2] 

机构地区：[1]兰州交通大学铁道车辆热工教育部重点实验室,甘肃兰州730070 [2]兰州交通大学机电工程学院,甘肃兰州730070 [3]齐齐哈尔轨道交通装备有限责任公司,黑龙江齐齐哈尔161002

出　　处：《兰州交通大学学报》2013年第6期141-145,共5页Journal of Lanzhou Jiaotong University

基　　金：铁道车辆热工教育部重点实验室开放基金(TE011006);甘肃省自然科学基金(1112RJZA045)

摘　　要：基于弹性流体动力润滑理论,以额定动载荷最大和膜厚比最大为目标函数,通过对圆柱滚子轴承多目标优化数学模型的研究,应用退火罚函数方法将其转化为无约束单目标优化问题.采用遗传算法求解含连续及离散变量的优化设计问题,同时针对遗传算法的局限性,采用了实数编码,调整了适应函数,设计了基于确定性准则的杂交算子和变异算子,借鉴了优解保留策略,结合模拟退火算法,形成了遗传模拟退火算法,该算法发挥了模拟退火与遗传算法各自的特点.算例表明了该优化方法的有效性.Based on the theory of elasto-hydrodynamic lubrication （EHL）, multi-objective optimization model of cylindrical roller bearing is established, in which the maximum load rating and the maximum film thickness ratio are taken as objective functions,and the problem is transformed to unconstrained single-ob- jective optimization problem by annealing dynamic function. The model consists of continuous discrete ar- guments, and aimed at the limitation of genetic algorithm. Combining with the simulated annealing algo- rithm and using the retention strategy of optimal solution for reference, the genetic simulated annealing al- gorithm which combines the advantages of improved genetic algorithm and simulated annealing algorithm is formed by adopting the real coding, adjusting the fitness function and designing the crossover operator and mutation operator according to the deterministic criteria. The numerical example shows that the algorithm is efficient.

关 键 词：圆柱滚子轴承 弹性流体动力润滑 多目标优化设计 改进遗传算法 遗传模拟退火算法 

分 类 号：TH133.33[机械工程—机械制造及自动化]