摘要
动静压轴承广泛应用于超高速切削电主轴,其工作性能对电主轴的可靠性及加工精度具有直接影响。传统动静压轴承设计以满足设计要求为原则,无法确保轴承的最优使用性能。为此以深浅腔体液动静压轴承为对象,对轴承结构的多目标优化设计进行研究。以轴承温升最小、油膜刚度及承载能力最大为目标函数,以浅腔深度、初始油膜厚度、进油孔径为设计变量,将参数取值范围作为限制条件,依托遗传算法,对动静压轴承开展优化设计,探寻最优方案。在对优化前后进行比较分析后发现,与优化前相比,动静压轴承油液温升、油膜刚度及承载能力在优化后均得到了改善,说明本次优化设计具有可行性。
Hydro-dynamic-static bearing is widely used in the ultra-high-speed machining of motorized spindle.Its working performance has direct impact on the reliability and machining accuracy of the motorized spindle.Traditional design of hydro-dynamic-static bearing is based on the principle of meeting the design requirements,which cannot ensure the optimal performance of the bearing.For this reason,the multi-objective optimization design of the deep-shallow-cavity hydro-dynamic-static bearing is studied.Taking the minimum temperature rise,the maximum oil film stiffness and the maximum bearing capacity as the objective function,the shallow cavity depth,the initial oil film thickness and the oil inlet diameter as the design variables,and the parameter range as the limiting condition,the dynamic-static bearing is optimized based on genetic algorithm.The oil temperature rise,oil film stiffness and bearing capacity of the dynamic-static bearing have been improved after the optimization,which indicates that the optimization design is feasible.
作者
丁浩
刘蕾
DING Hao;LIU Lei
出处
《现代机械》
2021年第4期78-81,共4页
Modern Machinery
基金
河南省高等学校重点科研项目计划支持(项目编号:19A460015)
河南省重点研发与推广专项支持(212102210362)。
关键词
动静压轴承
温升
油膜刚度
优化设计
遗传算法
dynamic-static bearing
temperature rise
oil film stiffness
optimization design
genetic algorithm
