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空气静压轴承的参数设计与性能优化 被引量:5

Parameter Design and Performance Optimization of Aerostatic Bearing
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摘要 针对空气静压轴承具有的承载力偏小、刚度较低、空气流量大会造成激振等问题,运用了粒子群优化算法对空气静压轴承中节流孔的关键参数进行优化设计研究。通过有限元的思想求解简化的二维雷诺方程,构建数学模型分析空气静压轴承的几个主要性能如承载力、刚度、空气流量,以及影响这些主要性能的相关参数。分析了相关参数与空气静压轴承主要性能之间的关系,并使用粒子群优化算法对相关参数进行多目标优化设计,通过对空气静压轴承的结构模型进行仿真计算,计算得到它的承载力、刚度、空气流量等相关数值,并对优化前后的空气静压轴承的主要性能进行比较。结果表明相较于优化前空气静压轴承的承载力提高了17%,刚度提高了36.3%,空气流量下降了43.4%,有效解决了空气静压轴承具有的承载力偏小、刚度较低、空气流量大等相关问题。 In this paper,problems such as load-carrying capacity,low stiffness,and vibration caused by large volume flow rate of aerostatic bearing has been studied.In order to solve these problems,the particle swarm optimization algorithm is used to optimize the key parameters of throttle orifice on aerostatic bearing.The simplified two-dimensional Reynolds equation is solved by finite element method and the mathematical model is built.Based on this model,the main performance parameters such as load-carrying capacity,stiffness and volume flow rate of aerostatic bearing are calculated.The coupling relationship between the structural dimension parameters which determining the main performance of aerostatic bearing is analyzed.The multi-objective optimization design of the structural dimension parameters is carried out by particle swarm optimization.With the simulation calculation of the aerostatic bearing,the load-carrying capacity,stiffness,volume flow rate and other relevant performances are calculated.The main performance of the optimized aerostatic bearing is compared with the original data.The results show that compared with the performance before optimization,the load-carrying capacity,stiffness of the aerostatic bearing are increased by 17%,36.3%and the volume flow rate is decreased by 43.4%.And the problems such as low load-carrying capacity,low stiffness,and vibration caused by large volume flow rate of aerostatic bearing has been solved.
作者 杨春梅 曹炳章 YANG Chun-mei;CAO Bing-zhang(School of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150040, China)
出处 《哈尔滨理工大学学报》 CAS 北大核心 2020年第4期48-55,共8页 Journal of Harbin University of Science and Technology
基金 国家林业科学技术推广项目([2019]10).
关键词 空气静压轴承 性能分析 流体力学计算 优化设计 粒子群算法 aerostatic bearing performance analysis computational fluid dynamics optimal design particle swarm optimization
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