机械科学与技术2024，Vol.43Issue(3)：490-496,7.DOI:10.13433/j.cnki.1003-8728.20220214
多孔质静压轴承静态特性预测研究
Study on Static Characteristics Prediction of Porous Hydrostatic Bearing
闫如忠 1石俊伟 1马晓建 1安星宇1
作者信息
- 1. 东华大学机械工程学院,上海 201620||纺织装备教育部工程研究中心,上海 201620
- 折叠
摘要
Abstract
In the design of porous hydrostatic bearings,bearing's design parameter is one of the key factors affecting its static and dynamic characteristics.Normally,several repetitions of modeling and simulation are required to obtain suitable bearing design parameters,and due to the complex bearing structure makes modeling difficult and simulation time long,which seriously affects the efficiency of bearing design.In this paper,a bearing static characteristic prediction model based on genetic algorithm(GA)optimized BP(Back Propagation)neural network is constructed,Latin hypercube sampling method is used to sample the bearing parameter design space,and perform Fluent fluid simulation.The data is used for the training and testing of the GA-BP neural network model to realize the prediction of static characteristics of porous hydrostatic bearing under any design parameters in the design space.The research results show that the trained GA-BP neural network model can accurately predict the static characteristics of porous hydrostatic bearings with a prediction accuracy of over 95%,which is great significance for the rapid design and parameter optimization of porous hydrostatic bearings.关键词
多孔质静压轴承/静态特性/GA-BP神经网络/拉丁超立方抽样/预测Key words
porous hydrostatic bearing/static characteristic/GA-BP neural network/latin hypercube sampling/prediction分类
机械制造引用本文复制引用
闫如忠,石俊伟,马晓建,安星宇..多孔质静压轴承静态特性预测研究[J].机械科学与技术,2024,43(3):490-496,7.
