工程设计学报2025,Vol.32Issue(6):839-844,855,7.DOI:10.3785/j.issn.1006-754X.2025.05.173
基于多因素融合的多级透平轴系校中优化方法研究
Research on multi-stage turbine shafting alignment optimization method based on multi-factor fusion
摘要
Abstract
Aiming at the alignment problem of the multi-stage turbine shafting of heavy duty gas turbines,an optimization alignment method integrating the reaction force of bearing and relative displacement between bearings was established,and a verification in hot-state was conducted.Firstly,the finite element software ANSYS Workbench was used to simulate the deformation in cold-state of the shafting,and the reaction forces and vertical displacements of the key bearings were obtained.Secondly,a multi-parameter optimization method integrating reaction force of bearing and the relative displacement between bearings was adopted,and the optimal solution was calculated by using the MATLAB software.Then,the Fluent software was used to simulate and analyze the airflow distribution between the intake volute and the shafting,the temperature influence under the actual working state of the shafting was taken into account to verify the validity of the optimal solution in hot-state.Finally,the bearing 5#was lowered by 0.057 mm in cold-state,the shafting was precisely adjusted,and an alignment experiment in hot-state was conducted.The results showed that the vibration of the shafting met the index requirements,verifying the effectiveness of the alignment scheme.The proposed shafting alignment optimization method takes into account the actual temperature and complex loads of the shafting,and has a good guiding significance for the precise adjustment of the shafting.关键词
精调/冷态校中/有限元/线性优化/热态验证Key words
precision adjustment/calibration in cold-state/finite element/linear optimization/verification in hot-state分类
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狄广强,王一博,孙朝阳,于成海,温建锋,贾九红..基于多因素融合的多级透平轴系校中优化方法研究[J].工程设计学报,2025,32(6):839-844,855,7.基金项目
国家自然科学基金面上项目(52575175,52475156) (52575175,52475156)
国家重点研发计划资助项目(2023YFB3712100) (2023YFB3712100)