基于响应面与遗传算法的液力透平叶轮优化设计
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  • 英文篇名:Optimization of Impeller for Hydrodynamic Turbine Based on Response Surface Method and Genetic Algorithm
  • 作者:花亦怀 ; 黄宁 ; 李振林 ; 苏清博 ; 褚洁
  • 英文作者:HUA Yihuai;HUANG Ning;LI Zhenlin;SU Qingbo;CHU Jie;Technology R&D Center of CNOOC Gas & Power Group;China University of Petroleum,Beijing;
  • 关键词:液力透平叶轮 ; 响应面方法 ; NSGA-Ⅱ ; 液化天然气 ; ANSYS ; CFX
  • 英文关键词:hydrodynamic turbine impeller;;response surface methodology;;NSGA-Ⅱ;;Liquefied Natural Gas;;ANSYS CFX
  • 中文刊名:BJSY
  • 英文刊名:Journal of Beijing Institute of Petrochemical Technology
  • 机构:中海石油气电集团有限责任公司技术研发中心;中国石油大学(北京);
  • 出版日期:2018-06-15
  • 出版单位:北京石油化工学院学报
  • 年:2018
  • 期:v.26;No.84
  • 基金:工业和信息化部高技术船舶科研计划项目([2014]503)
  • 语种:中文;
  • 页:BJSY201802011
  • 页数:5
  • CN:02
  • ISSN:11-3981/TE
  • 分类号:55-59
摘要
建立了基于试验设计、响应面近似和遗传算法优化的液力透平叶轮优化设计方法。通过ANSYS CFX数值模拟得到其外特性,原始模型数值计算结果与试验结果外特性吻合较好。以设计工况下的水力效率和扬程为目标函数,利用响应面方法(RSM)分别得到设计参数与目标函数之间的显式表达式,采用NSGA-Ⅱ遗传算法得到最优叶轮参数组合。优化后水力模型效率提高3.2%。结果表明,响应面方法与NSGA-Ⅱ遗传算法相结合的优化方法适用于液力透平叶轮的优化设计。
        An optimization method for hydraulic turbine impeller was established based on the experimental design theory,the response surface approximation and genetic algorithm.The external characteristics are obtained by using the commercial software ANSYS CFX,and the results of the original model are in good agreement with the experimental results.The efficient and head were chosen as objective functions,and the response surface method(RSM)is used to obtain the explicit expression between the design parameters and the objective functions.The optimal combination of the parameters of the impeller is chosen by the NSGA-Ⅱ genetic algorithm.The hydraulic efficiency of the optimized model rises by 3.2%,which indicates that the optimization method combining response surface method and NSGA-Ⅱ genetic algorithm is suitable for the optimization design of hydraulic turbine impeller.
引文
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