汽轮机转子动叶片装配序列智能优化

朱梅玉; 李梦奇; 文学; 李冬英

doi:10.13224/j.cnki.jasp.2017.10.028

汽轮机转子动叶片装配序列智能优化

doi: 10.13224/j.cnki.jasp.2017.10.028

1.
邵阳学院机械与能源工程系，湖南邵阳 422004
2.
邵阳学院机械与能源工程系，湖南邵阳 422004；中南大学机电工程学院，长沙 410000

基金项目: 湖南省自然科学基金（2016JJ4082）；湖南省教育厅科研项目（15K113）

计量
- 文章访问数: 636
- HTML浏览量: 3
- PDF量: 422
- 被引次数: 0
出版历程
- 收稿日期: 2016-03-07
- 刊出日期: 2017-10-28

Intelligent optimization of turbine rotor blade assembly sequence

摘要

摘要: 针对某工厂因动叶片装配序列存在 “不平衡量值大、叶片质量或质径积形成的聚集及特殊叶片排序不稳定”问题，而导致动叶片安装时出现动叶片中间体及围带间间隙超差等现象，在简要分析动叶片装配和称重原理的基础上，结合遗传算法的全局优化和快速收敛的特点，提出了动叶片安装排序的智能优化方法。经统计某级动叶片装配间隙数据及转子动平衡测试数据，结果表明：优化算法的采用，使整级动叶片一次性装配间隙合格率由68.3%提升至86.6%，转子动平衡配重质量块减少约49.2%，在3000r/min时，转子轴颈振动值降低约25.2%。
- 动叶片 /
- 间隙超差 /
- 安装排序 /
- 遗传算法 /
- 不平衡量 /
- 稳定性
Abstract: There are some problems such as “large unbalance value, aggregations of blades mass or massradins product and unstable assembly sequence of special blade” in rotor blades assembly sequences in a factory, which lead to ultra gaps arising between intermediates and shroud rings during the rotor blades installation. Based on a brief analysis of rotor blades assembly and weighing principle, an intelligent optimization method of rotor blades installation sort was presented in combination with the overall optimization and rapid convergence of genetic algorithm. According to fitup gaps of a certain grade rotor blade and test data of rotor dynamic balance, the optimization algorithm improved the qualification rate of fitup gap of the whole grade blade from 683% to 866%, reduced the rotor balancing counterweight block by about 492%, and decreased the journal vibration value by about 252% when the rotor rotated at 3000r/min.
- rotor blade /
- ultra gap /
- assembly sequence /
- genetic algorithm /
- remaining unbalance /
- stability

HTML

参考文献(19)

[1]	黄树红.汽轮机原理［M］.北京：中国电力出版社,2008.
[2]	朱佳生.透平机械制造工艺学［M］.北京：机械工业出版社,1980.
[3]	广东电网公司电力科学研究院.汽轮机设备及系统［M］.北京：中国电力出版社,2011.
[4]	杨国安.转子动平衡实用技术［M］.北京：中国石化出版社,2012.
[5]	周仁睦.转子动平衡—原理、方法和标准［M］.北京：化学工业出版社,1992.
[6]	郭宗锋.汽轮机动叶片装配仿真及排序优化的研究［D］.哈尔滨：哈尔滨工业大学,2008. GUO Zongfeng.Research on assembly simulation and arrangement optimization of turbine moving blades［D］.Harbin:Harbin Institute of Technology,2008.(in Chinese)
[7]	TAGAM I.Study on application method of genetic algorithms for combinatorial optimization problem［D］.Tokus hima:University of Tokushima,1995.
[8]	FU Xuhui,KANG Ling.Study of the premature convergence of genetic algorithms［J］.Journal of Huazhong University of Science and Technology,2003,12(3):345-348.
[9]	贺尔铭,耿炎,贺利,等.遗传算法在发动机转子叶片平衡排序中的应用［J］.机械科学与技术,2003,22(4):554-555. HE Erming,GENG Yan,HE Li,et al.Application of genetic algorithm in blade arrangement of engine［J］.Mechanical Science and Technology,2003,22(4):554-555.(in Chinese)
[10]	杨训,邢建华.基于遗传算法的转子叶片优化排序［J］.计算机仿真,2008,25(11):94-97. YANG Xun,XING Jianhua.Optimum arrangement of rotor blades based on genetic algorithms［J］.Computer Simulation,2008,25(11):94-97.(in Chinese)
[11]	张海,浦健,张啸澄.基于退火单亲算法的压气机叶片排序［J］.燃气轮机技术,2009,22(4):49-53. ZHANG Hai,PU Jian,ZHANG Xiaocheng.A opmizing sequencing of compressor vanes based on simulated annealing partheno genetic algorithm［J］.Gas Turbine Technology,2009,22(4):49-53.(in Chinese)
[12]	唐绍军,王旭,朱斌.遗传算法对压气机叶片排序的应用［J］.航空动力学报,2005,20(3):518-522. TANG Shaojun,WANG Xu,ZHU Bin.Research on genetic algorithm applied to sequencing of compressor vanes［J ］.Journal of Aerospace Power,2005,20(3):518-522.(in Chinese)
[13]	贾金鑫,李全通,高星伟,等.叶片质量矩优化排序中遗传算法的应用［J］.航空动力学报,2011,26(1):204-209. JIA Jinxin,LI Quantong,GAO Xingwei,et al.Application of genetic algorithm in optimizing arrangement of engine blades based on initial unbalance［J］.Journal of Aerospace Power,2011,26(1):204-209.(in Chinese)
[14]	戴义平,江才俊,卢世明.基于遗传算法的叶片安装排序优化系统的开发及应用［J］.汽轮机技术,2003,45(5):270-272. DAI Yiping,JIANG Caijun,LU Shiming.Development and application of blades installation arrangement order optimizing system based on genetic algorithm［J］.Turbine Technology,2003,45(5):270-272.(in Chinese)
[15]	杨达莉,文学,刘健.模拟退火算法在汽轮机转子动叶排序优化技术中的应用［J］.东方汽轮机,2014(2):29-33. YANG Dali,WEN Xue,LIU Jian.Application of simuiated anneaing algorithm in optimization of rotor blade sorting［J］.Dongfang Turbine,2014(2):29-33.(in Chinese)
[16]	施光燕,董加礼.最优化方法［M］.北京：高等教育出版社,2001.
[17]	玄光男,程润伟.遗传算法与工程优化［M ］.北京:清华大学出版社,2004.
[18]	陈国良,王煦法,庄镇泉.遗传算法及其应用［M］.北京：人民邮电出版社,1996.
[19]	赵德胜,张雪,李彩琴.基于遗传算法的多级叶片优化排序的快速收敛研究［J］.制造业自动化,2011,33(14):8-10. ZHAO Desheng,ZHANG Xue,LI Caiqin.Optimum arrangement of series blades based on genetic algorithm with complex restraints［J］.Manufacturing Automation,2011,33(14):8-10.(in Chinese)