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作 者:唐杰 殷玉枫[2] 张鑫 TANG Jie;YIN Yufeng;ZHANG Xin(School of Mechanical Engineering,Taiyuan University of Science and Technology,Shanxi Taiyuan 030024,China;School of Vehicle and Transportation Engineering,Taiyuan University of Science and Technology,Shanxi Taiyuan 030024,China)
机构地区:[1]太原科技大学机械工程学院,山西太原030024 [2]太原科技大学车辆与交通工程学院,山西太原030024
出 处:《润滑与密封》2024年第12期169-175,共7页Lubrication Engineering
基 金:国家自然科学基金项目(51875382)。
摘 要:螺旋槽径向气体轴承的性能与槽型参数密切相关,最佳槽型参数的理论数据集对于轴承的研发设计极其重要。为获得承载力最大和多目标性能最佳的槽型参数理论数据集,通过数值计算得到轴承承载力的数值解,并以承载力为目标函数,建立气体轴承的最大承载力优化模型,利用混合模拟退火和带压缩因子的粒子群算法(SA-CFPSO)求解优化模型,得到轴承在不同长径比和偏心率下的最佳槽型参数。通过与文献试验和理论数据对比,验证了该数值方法和SA-CFPSO算法寻优的准确度和效率。优化结果表明:轴承的最佳槽长比和槽宽比小于0.5,最佳槽深比在2.7左右,最佳螺旋角在0.45~1 rad之间。在压缩数较小时,相较于普通圆柱轴承,表面开槽对于轴承承载力的影响并不明显,当轴承的长径比或偏心率增大时,最佳槽型参数的数值变化较为明显。The theoretical dataset of the optimum groove parameters is crucial for the research and design of bearings,as the performance of spiral groove journal gas bearings is highly related to groove parameters.In order to obtain the theoretical dataset of groove parameters with maximum bearing capacity and optimal multi-objective performance,the numerical solution of bearing capacity was obtained by numerical calculation.Taking the bearing capacity as the objective function,the maximum capacity optimization model of gas bearing was developed.The optimization model was solved by hybrid simulated annealing and particle swarm optimization algorithm with a compressibility factor(SA-CFPSO),and the optimum groove parameters of bearings under various aspect ratios and eccentricities were obtained.The accuracy and efficiency of the numerical method and optimization algorithm were verified by comparison with the experimental and theoretical data in literature.The optimization results show that the optimal groove length ratio and groove width ratio of bearings are less than 0.5,the optimal groove depth ratio is about 2.7,and the optimal spiral angle is between 0.45 rad to 1 rad.When the compression number is low,compared with the ordinary cylindrical bearing,the effect of surface groove on the bearing capacity is not obvious.When the length diameter ratio or eccentricity of the bearing increases,the change of optimal groove parameters is more obvious.
关 键 词:螺旋槽径向气体轴承 最大承载力 模拟退火 带压缩因子的粒子群算法
分 类 号:TH133.37[机械工程—机械制造及自动化]
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