用户名: 密码: 验证码:
考虑气动性能要求的离心压缩机叶轮应力优化
详细信息    查看全文 | 推荐本文 |
  • 英文篇名:Stress Optimization of Centrifugal Compressor Impeller Considering Aerodynamic Performance Requirements
  • 作者:徐胜利 ; 钟少伟 ; 郭正 ; 杨树华 ; 孟继纲
  • 英文作者:Sheng-li Xu;Shao-wei Zhong;Zheng Guo;Shu-hua Yang;Ji-gang Meng;School of Energy and Power Engineering, Dalian University of Technology;Shenyang Blower Works Group Corporation;
  • 关键词:离心压缩机 ; 叶轮应力优化 ; 气动性能 ; 代理模型
  • 英文关键词:Centrifugal Compressor;;Impeller Stress Optimization;;Aerodynamic Performance;;Proxy Model
  • 中文刊名:FENG
  • 英文刊名:Chinese Journal of Turbomachinery
  • 机构:大连理工大学能源与动力学院;沈阳鼓风机集团股份有限公司;
  • 出版日期:2018-12-26
  • 出版单位:风机技术
  • 年:2018
  • 期:v.60;No.270
  • 语种:中文;
  • 页:FENG201806010
  • 页数:6
  • CN:06
  • ISSN:21-1167/TH
  • 分类号:67-72
摘要
离心压缩机叶轮结构设计需要同时兼顾气动性能和结构强度要求。本文研究了考虑气动性能要求下的叶轮结构应力优化方法。通过Bezier曲线拟合叶轮子午面形状,采用叶片型线的安放角和叶片厚度控制叶片三维形状。通过径向基函数建立叶轮几何控制参数对叶轮多变效率、叶轮压比、叶片最大应力的代理模型,采用CORSBRF约束优化算法求解优化问题。优化结果表明,在满足叶轮气动性能要求下,叶轮应力得到了改善。
        The structural design of centrifugal compressor impeller should take both aerodynamic performance and structural strength requirements into account. This paper studies the optimization method of impeller structure considering the aerodynamic performance requirements. The Bezier curve was used to fit the shape of impeller meridian, and the threedimensional shape of blade was controlled by the blade angles and blade thickness. Radial basis function was used to establish the proxy models between the impeller geometric control parameters and the polytropic efficiency, pressure ratio, and blade maximum stress. The CORS-BRF constrained optimization algorithm was used to solve the optimization problem. Optimization results show that under the impeller stress is improved meeting the requirements of impeller aerodynamic performance.
引文
[1]程超,秦国良.利用遗传算法进行离心压缩机整级优化设计[J].动力工程学报,2016,36(12):963-969.
    [2]Salnikov A,Danilov M.A Centrifugal Compressor Impeller:AMultidisciplinary Optimization to Improve its Mass,Strength,and Gas-Dynamic Characteristics[C].ASME Turbo Expo 2017:Turbomachinery Technical Conference and Exposition.2017:V02CT47A013.
    [3]Kim J H,Choi J H,Husain A,et al.Design Optimization of a Centrifugal Compressor Impeller By Multi-Objective Genetic Algorithm[C].ASME Fluids Engineering Conference.2009:185-191.
    [4]Verstraete T,Alsalihi Z,Braembussche R a V D.Multidisciplinary Optimization of a Radial Compressor for Microgas Turbine Applications[J].Journal of Turbomachinery,2010,132(3):1291-1299.
    [5]Duan Y,Wu W,Fan Z,et al.An Introduction of Aerodynamic Shape Optimization Platform for Compressor Blade[C].ASME Turbo Expo2016:Turbomachinery Technical Conference and Exposition.2016:V02CT39A031.
    [6]Benini E.Three-Dimensional Multi-Objective Design Optimization of a Transonic Compressor Rotor[J].Journal of Propulsion&Power,2003,20(3):559-565.
    [7]Yang W.Three-dimensional inverse method for aerodynamic optimization in compressor[C].IOP Conference Series Materials Science and Engineering.2013:012008.
    [8]Schemmann C.Optimization of the Operation Characteristic of a Highly Stressed Centrifugal Compressor Impeller using Automated Optimization and Metamodeling Methods[C].Optimization of the Operation Characteristic of a Highly Stressed Centrifugal Compressor Impeller using Automated Optimization and Metamodeling Methods.ASME Turbo Expo 2017:Turbomachinery Technical Conference and Exposition Gt.
    [9]Mueller L,Alsalihi Z,Verstraete T.Multidisciplinary Optimization of a Turbocharger Radial Turbine[J].Journal of Turbomachinery,2012,135(2):1965-1976.
    [10]Regis R G,Shoemaker C A.Constrained Global Optimization of Expensive Black Box Functions Using Radial Basis Functions[J].Journal of Global Optimization,2005,31(1):153-171.
    [11]Kim S,Lee K Y,Kim J H,et al.High performance hydraulic design techniques of mixed-flow pump impeller and diffuser[J].Journal of Mechanical Science and Technology,2015,29(1):227-240.
    [12]LAI Xide,CHEN Xiaoming,ZHANG Xiang,et al.An Approach to automatically optimize the Hydraulic performance of Blade System for Hydraulic Machines using Multi-objective Genetic Algorithm[C].IOP Conference Series:Earth and Environmental Science,2016:062027.
    [13]LIU Haitao,XU Shengli,WANG Xiaofang.Sequential sampling designs based on space reduction[J].Engineering Optimization,2015,47(7):867-884.
    [14]XU Shengli,LIU Haitao,WANG Xiaofang,JIANG Xiaomo.Arobust error-pursuing sequential sampling approach for global metamodeling based on Voronoi diagram and cross validation[J].ASME Transactions on Journal of Mechanical Design,2014,136(7):071009.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700