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

doi:10.3969/j.issn.1004-132X.2023.08.003

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

Previous Articles Next Articles

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.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.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

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

CLC Number:

TH122

LIU Jisheng, JI Liang, LI Wei, JIA Zhixin, CHENG Jinxin, FANG Pengcheng. Efficient Optimization Design Method of Centrifugal Impellers Based on Multi-surrogate Model[J]. China Mechanical Engineering, 2023, 34(08): 899-907.

刘基盛, 计良, 李威, 贾志新, 成金鑫, 方鹏程. 基于多代理模型的离心叶轮高效优化设计方法[J]. 中国机械工程, 2023, 34(08): 899-907.

References

［1］童哲铭，陈尧，童水光，等. 基于NSGA-Ⅲ算法的低比转速离心泵多目标优化设计［J］. 中国机械工程， 2020， 31（18）：2239-2246.
TONG Zheming， CHEN Yao， TONG Shuiguang， et al. Multi-objective Optimization Design of Low Specific Speed Centrifugal Pumps Based on NSGA-Ⅲ Algorithm［J］. China Mechanical Engineering， 2020， 31（18）：2239-2246.
［2］姜丙孝，杨军虎，王晓晖，等. 基于RBF-HDMR模型与PSO算法的液力透平叶片优化［J］. 机械工程学报， 2022， 58（12）：283-292.
JIANG Bingxiao， YANG Junhu， WANG Xiaohui， et al. Blades Optimization of Pumps as Turbines Based on RBF-HDMR Model and PSO Algorithm［J］. Journal of Mechanical Engineering， 2022， 58（12）：283-292.
［3］HOSSEINIMAAB S M， TOUSI A M. Optimizing the Performance of a Single-shaft Micro Gas Turbine Engine by Modifying Its Centrifugal Compressor Design［J］. Energy Conversion and Mmanagement， 2022， 271：116245.
［4］BAI L， YANG Y， ZHOU L， et al. Optimal Design and Performance Improvement of an Electric Submersible Pump Impeller Based on Taguchi Approach［J］. Energy， 2022， 252：124032.
［5］BASHIRI M， DERAKHSHAN S， SHAHRABI J. Design Optimization of a Centrifugal Pump Using Particle Swarm Optimization Algorithm［J］. International Journal of Fluid Machinery and Systems， 2019， 12（4）：322-331.
［6］孔庆国，杜旭博，羌晓青，等. 基于中弧线曲率控制的压气机叶型优化［J］. 推进技术， 2020， 41（8）：1740-1747.
KONG Qingguo， DU Xubo， QIANG Xiaoqing， et al. Compressor Airfoil Optimization Based on Camber Curvature Control［J］. Journal of Propulsion Technology， 2020， 41（8）：1740-1747.
［7］刘基盛，李威，计良，等. 一种新颖的离心叶轮多工况气动优化设计方法［J］. 推进技术， 2022， 43（11）：126-139.
LIU Jisheng， LI Wei， JI Liang， et al. A Novel Multi-condition Aerodynamic Optimization Design Method for Centrifugal Impeller［J］. Journal of Propulsion Technology， 2022， 43（11）：126-139.
［8］AYE C M， PHOLDEE N， YILDIZ A R， et al. Multi-surrogate-assisted Metaheuristics for Crashworthiness Optimisation［J］. International Journal of Vehicle Design， 2019， 80（2/4）：223-240.
［9］CHRISTELIS V， KOPSIAFTIS G， MANTOGLOU A. Performance Comparison of Multiple and Single Surrogate Models for Pumping Optimization of Coastal Aquifers［J］. Hydrological Sciences Journal， 2019， 64（3）：336-349.
［10］LI M Y， TANG J J， MENG X W. Multiple Surrogate-model-Based Optimization Method Using the Multimodal Expected Improvement Criterion for Expensive Problems［J］. Mathematics， 2022， 10（23）：4467.
［11］YIN J N， TSAI F T C， LU C H. Bi-objective Extraction-injection Optimization Modeling for Saltwater Intrusion Control Considering Surrogate Model Uncertainty［J］. Water Resources Management， 2022， 36（15）：6017-6042.
［12］何西旺，杨亮亮，冉仁杰，等. 基于多评价标准的代理模型综合比较研究［J］. 机械工程学报， 2022， 58（16）：403-419.
HE Xiwang， YANG Liangliang， RAN Renjie， et al. Comparative Studies of Surrogate Models Based on Multiple Evaluation Criteria［J］. Journal of Mechanical Engineering， 2022， 58（16）：403-419.
［13］WANG H， JIN Y， DOHERTY J. Committee-based Active Learning for Surrogate-assisted Particle Swarm Optimization of Expensive Problems［J］. IEEE Transactions on Cybernetics， 2017， 47（9）：2664-2677.
［14］杨登峰，潘俞舟，王贵召，等. 分体滑动导叶可调涡轮激波与载荷波动机制［J］. 中国机械工程， 2020， 31（15）：1778-1786.
YANG Dengfeng， PAN Yuzhou， WANG Gui-zhao， et al. Mechanism of Shock and Load Fluctuation of Variable Nozzle Turbines with Split Sliding Guide Vanes［J］. China Mechanical Engineering， 2020， 31（15）：1778-1786.
［15］罗钜，郭福水. 民用涡扇发动机总体多学科设计优化研究［J］. 中国机械工程， 2019， 30（15）：1813-1820.
LUO Ju， GUO Fushui. Study on Multi-disciplinary Design Optimization on Civil Turbofan Engines［J］. China Mechanical Engineering， 2019， 30（15）：1813-1820.

[1]	BAO Zhenke, CAO Huajun, QIN Fengze, CHEN Zhixiang, TAO Guibao. Tool Wear Monitoring Based on IWOA-IECA-BiLSTM Model [J]. China Mechanical Engineering, 2025, 36(12): 2936-2943.
[2]	TONG Zhaojing, WANG Pengchao, FAN Yongkui, HAN Guangyang, WANG Ziqi. Fault Diagnosis Method of Rolling Bearings Based on Improved Refined Composite Multiscale Sample Entropy and Bayesian Network [J]. China Mechanical Engineering, 2025, 36(12): 2952-2959.
[3]	Wenhua SHEN, Xibin WANG, Yonghao QIAN, Zhibing LIU, Ci SONG. Research on Online Measurement and Evaluation of Axial Straightness Errors for Deep-hole Parts [J]. China Mechanical Engineering, 2025, 36(09): 2011-2021.
[4]	Haining XIAO, Huihui SUN, Minghua PENG, Jianzhou WANG. An IMBOA Based Collaborative Sequencing Method for Automotive Multi Associated Workshops [J]. China Mechanical Engineering, 2025, 36(08): 1796-1810.
[5]	Zitong YUE, Yanting LI, Yu ZHAO. Condition Monitoring of Wind Turbines Based on Neural Networks and Robust Estimation [J]. China Mechanical Engineering, 2025, 36(08): 1842-1852.
[6]	ZHENG Chao, LIU Jianchao, WU JunXUE Xin. Vibration Reduction Analysis of All-metal Multi-directional Isolation Devices [J]. China Mechanical Engineering, 2025, 36(07): 1463-1470.
[7]	ZHAO Tingqi1, CHENG Hongyu2, SUN Maokai1, WANG Shenghai1, WANG Haoran1, CHEN Haiquan1. Nonlinear Stability Control of Multi-cable Anti-sway Systems for Marine Cranes [J]. China Mechanical Engineering, 2025, 36(07): 1487-1496.
[8]	ZHANG Jianyu, WANG Liuzhen, XIAO Yong, MA Yanan. Fusion of Degradation Feature Information and Remaining Life Prediction for Rolling Bearings [J]. China Mechanical Engineering, 2025, 36(07): 1553-1561.
[9]	. Geometric Feature Modeling and Assembly Interference Detection Method for Large Ship Components [J]. China Mechanical Engineering, 2025, 36(07): 1636-1649.
[10]	WANG Zhichao1, LIU Chao1, RAN Yan2, CHEN Yifan3, JIANG Dongxiang1, ZHANG Genbao2, 3. A Reliability Allocation Method Considering Distribution and Transmission Models for Mechanical Systems [J]. China Mechanical Engineering, 2025, 36(06): 1143-1150.
[11]	LIU Wei1, 2, CHANG Jiaqi1, 2, LI Boxin1, 2, YAN Can1, 2, DENG Zhaohui3, WAN Linlin1, 2. Influences of MCMBs on Electrolytic Dressing and Grinding Performances of Multi-layer Brazed Diamond Grinding Wheels [J]. China Mechanical Engineering, 2025, 36(06): 1151-1158.
[12]	GAO Guanbin1, 2, ZHAO Siguo1, 2, LI Yingjie1, 2. Modeling and Identification of Robot End-payloads Based on Joint Torque Balance [J]. China Mechanical Engineering, 2025, 36(06): 1188-1197.
[13]	WANG Yunfan1, 2, ZHU Libin1, 2, CUI Chuangchuang1, 2, HUANG Haihong1, 2. DIA Method for Multi-part Stacked Structure Devices Based on Disassembly Information Extraction [J]. China Mechanical Engineering, 2025, 36(06): 1269-1279.
[14]	LIN Shuwen, LU Zhe, WEI Shijia, CHEN Jianxiong, GU Tianqi, XIE Yu. Simulation of Dynamic Characteristics of Excavator Working Processes and Multi-objective Optimization Design Method of Main Component Parameters [J]. China Mechanical Engineering, 2025, 36(06): 1371-1379.
[15]	LEI Xingmao1, DING Haigang1, 2, WANG Simin3, YANG Chengcheng1, PANG Zhizhen1. Precise Regulation of Differential Pressures at Port of Load-sensitive Multi-way Valves Based on ADRC Algorithm [J]. China Mechanical Engineering, 2025, 36(05): 954-962，973.

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

基于多代理模型的离心叶轮高效优化设计方法

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics