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考虑黏-温及空穴效应的低速滑动轴承润滑性能分析

Analysis of the Lubrication Performance of Low-Speed Sliding Bearing Considering the Effect of Viscosity-Temperature and Cavitation
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摘要 在低速重载条件下,温度升高导致的润滑油黏度下降以及局部压力过低产生的油膜空穴,严重影响到油膜压力与承载力等润滑性能。为探究考虑黏-温及空穴效应的低速滑动轴承润滑性能,通过编写黏-温方程的UDF程序,建立滑动轴承的Fluent有限元模型,考虑Mixture多相流模型的空穴效应,系统计算轴承油膜在不同工况下的润滑性能,分析对比偏心率、轴系转速以及黏-温效应的影响作用。结果表明:考虑黏-温效应条件下的油膜最大压力、最大温度、承载力以及空穴区域气穴最大体积分数均小于黏度恒定的情况,轴系转速和偏心率的增大会导致空穴区域最大体积分数的增加。 In the case of heavy load and low speed,the viscosity of lubricating oil drops due to temperature rise and the cavitation induced by low local pressure seriously affect the lubrication performance such as film pressure and load-carrying capacity.To explore the lubrication performance of low-speed sliding bearing considering the effect of viscosity-temperature and cavitation,a UDF program for the viscosity-temperature equation was formed,the finite element model was established in Fluent and the cavitation effect of Mixture multiphase flow was considered.The lubrication performance of the bearing under different operating conditions was systematically calculated.The effects of eccentricity,shaft speed and viscosity-temperature effect were analyzed and compared.The results show that the maximal pressure,temperature,load-carrying capacity and volume fraction of cavities in the cavity region considering viscous-temperature effect are less than those with constant viscosity.And the increase in shaft speed and eccentricity leads to an enlargement in maximal volume fraction of cavity region.
作者 盛明辉 黄千稳 赵泽宇 SHENG Minghui;HUANG Qianwen;ZHAO Zeyu(Institute of Mechanical Automation,Wuhan University of Science and Technology,Wuhan Hubei 430081,China;Key Laboratory of Metallurgical Equipment and Control Technology,Ministry of Education,Wuhan University of Science and Technology,Wuhan Hubei 430081,China)
出处 《润滑与密封》 CAS CSCD 北大核心 2023年第8期56-64,共9页 Lubrication Engineering
基金 国家自然科学基金项目(52272377 51809201)。
关键词 黏-温效应 空穴效应 低速轴承 油膜润滑 多项流模型 effect of viscosity-temperature cavitation effect low-speed bearing oil film lubrication multiphase flow model
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