China Mechanical Engineering ›› 2023, Vol. 34 ›› Issue (08): 899-907.DOI: 10.3969/j.issn.1004-132X.2023.08.003

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Efficient Optimization Design Method of Centrifugal Impellers Based on Multi-surrogate Model

LIU Jisheng1;JI Liang2;LI Wei1;JIA Zhixin1;CHENG Jinxin1;FANG Pengcheng3   

  1. 1.School of Mechanical Engineering,University of Science and Technology Beijing,Beijing,100083
    2.Beijing Shiny Tech. Co.,Ltd.,Beijing,100074
    3.Department of Industrial Engineering,Tsinghua University,Beijing,100084
  • Online:2023-04-25 Published:2023-05-16

基于多代理模型的离心叶轮高效优化设计方法

刘基盛1;计良2;李威1;贾志新1;成金鑫1;方鹏程3   

  1. 1.北京科技大学机械工程学院,北京,100083
    2.北京航天新立科技有限公司,北京,100074
    3.清华大学工业工程系,北京,100084
  • 通讯作者: 贾志新(通信作者),男,1968年,教授。研究方向为数字化设计与制造、智能制造、数控制造装备设计及其可靠性技术。发表论文100余篇。E-mail:jiazhixin@me.ustb.edu.cn。
  • 作者简介:刘基盛,男,1986年,博士。研究方向为数字化设计与制造、现代机械设计方法。发表论文10余篇。E-mail:liujisheng@ustb.edu.cn。
  • 基金资助:
    国家自然科学基金(51775036);广东省基础与应用基础研究基金(2022A1515110055)

Abstract: Aiming at the problems of excessive number of iterations and time consumption in automatic optimization design, an efficient optimization search model for centrifugal compressor blades was established based on multi-surrogate model optimization algorithm. A global/local model management strategy and a sample filling method were studied. The comprehensive performance of multi-surrogate model and common meta-heuristic optimization algorithms(particle swarm algorithm, multi-island genetic algorithm, etc. )were compared and analyzed, and the effectiveness of the efficient optimization search model was verified. The results of the centrifugal impeller optimization show that the isentropic efficiency is improved by 0.73%, the total pressure ratio is increased by 0.18%, and the surge margin is improved by 1.1%. Compared with the classical particle swarm algorithm, the optimization time may be reduced by 54.9%. 

Key words:  , centrifugal impeller, blade geometry shape, efficient optimization seeking, optimization algorithm, multi-surrogate model

摘要: 针对自动优化设计时迭代过多、耗时过长等问题,建立了基于多代理模型优化算法的离心压气机叶片高效寻优模型,研究了全局/局部模型管理策略和样本填充方法,对比分析了多代理模型与常用的元启发式优化算法(粒子群算法、多岛遗传算法等)的综合性能,验证了多代理寻优模型的高效性。离心叶轮优化结果表明:等熵效率提高了0.73%,总压比增大了0.18%,喘振裕度提高了1.1%;与经典粒子群算法相比,优化时间缩短54.9%。

关键词: 离心叶轮, 叶片几何外形, 高效寻优, 优化算法, 多代理模型

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