Optimization of twisted blade of centrifugal pump based on high dimensional machine learning method

Bingxiao JIANG; Junhu YANG; Xiaohui WANG; Fengxia SHI; Shiyu MAO

doi:10.13224/j.cnki.jasp.20210143

Chinese

您当前的位置：

首页 >

文章列表页 >

Optimization of twisted blade of centrifugal pump based on high dimensional machine learning method

Turbomachinery | 更新时间：2025-04-07

- Optimization of twisted blade of centrifugal pump based on high dimensional machine learning method
- Journal of Aerospace Power Vol. 37, Issue 3, Pages: 629-638(2022)
- 作者机构：
  
  1.兰州理工大学能源与动力工程学院，兰州 730050
  2.兰州理工大学甘肃省流体机械及系统重点实验室，兰州 730050
- 作者简介：
- 基金信息：
- DOI：10.13224/j.cnki.jasp.20210143
  CLC：
- 稿件说明：
移动端阅览
Bingxiao JIANG, Junhu YANG, Xiaohui WANG, et al. Optimization of twisted blade of centrifugal pump based on high dimensional machine learning method[J]. Journal of Aerospace Power, 2022, 37(3): 629-638.
DOI：

Bingxiao JIANG, Junhu YANG, Xiaohui WANG, et al. Optimization of twisted blade of centrifugal pump based on high dimensional machine learning method[J]. Journal of Aerospace Power, 2022, 37(3): 629-638. DOI： 10.13224/j.cnki.jasp.20210143.

摘要

提出将高维表示方法与机器学习中的支持向量机方法结合对离心泵扭曲叶片优化。选用1台中比转速离心泵为研究对象，通过对扭曲叶片3条叶片型线的参数化，分离控制变量并确定代理模型的训练空间。经过对离心泵扭曲叶片水力模型的算法学习，得到以叶片型线参数为自变量，效率为目标函数的离心泵代理模型，运用遗传算法求解并反馈叶片型线参数。采用数值模拟及试验的方法验证了代理模型的预测结果，并从动能方程的角度分析了优化前后扭曲叶片叶轮内流场的变化。结果表明：在设计工况点，优化后的扭曲叶片离心泵数值模拟效率值比原型泵提高了1.72%，扬程提升了0.41 m，试验效率值比原型泵提高了1.5%，扬程提升了0.35 m。

Abstract

The combination of high dimensional model representation （HDMR） and support vector machine （SVM） in machine learning was proposed to optimize the twisted blade of centrifugal pump．A centrifugal pump with medium specific speed was selected as the research object．The three blade profiles of twisted blade were parameterized，the control variables were separated and the training space of surrogate model was determined.After algorithm learning of the hydraulic models of the twisted blade of the centrifugal pump，the surrogate model of the centrifugal pump with the blade profile parameters as the independent variables and the efficiency as the objective function was obtained．The prediction results of the surrogate model were verified by numerical simulation and experiment.The change of flow field in twisted blade impeller before and after optimization was analyzed from the view of kinetic energy equation．The results showed that at the design operating point，the numerical simulation efficiency of the optimized twisted blade centrifugal pump was 1.72% higher than that of the prototype pump，and the head was 0.41 m higher；the test efficiency was 1.5% higher than that of the prototype pump，and the head was 0.35 m higher than that of the prototype pump.

关键词

Keywords

references

TONG Zheming , XIN Jiage , TONG Shuiguang , et al . Review:internal flow structure,fault detection,and performance optimization of centrifugal pumps [J]. Journal of Zhejiang University:Science A （Applied Physics and Engineering） , 2020 , 21 （ 2 ）: 85 ⁃ 117 .

关醒凡 . 现代泵理论与设计 [M]. 北京 : 中国宇航出版社 , 2011 .

张人会 , 郭广强 , 杨军虎 , 等 . 基于不完全敏感性方法的低比转速离心叶轮优化研究 [J]. 机械工程学报 , 2014 , 50 （ 4 ）: 162 ⁃ 166 .

ZHANG Renhui , GUO Guangqiang , YANG Junhu , et al . Optimization research on low specific speed centrifugal impeller based on incomplete sensitivities method [J]. Journal of Mechanical Engineering , 2014 , 50 （ 4 ）: 162 ⁃ 166 . （in Chinese）

苗森春 , 杨军虎 , 王晓晖 , 等 . 基于神经网络⁃遗传算法的液力透平叶片型线优化 [J]. 航空动力学报 , 2015 , 30 （ 8 ）: 1918 ⁃ 1925 .

MIAO Senchun , YANG Junhu , WANG Xiaohui , et al . Blade pattern optimization of the hydraulic turbine based on neural network and genetic algorithm [J]. Journal of Aerospace Power , 2015 , 30 （ 8 ）: 1918 ⁃ 1925 . （in Chinese）

王春林 , 冯一鸣 , 叶剑 , 等 . 基于RBF神经网络与NSGA⁃Ⅱ算法的渣浆泵多目标参数优化 [J]. 农业工程学报 , 2017 , 33 （ 10 ）: 109 ⁃ 115 .

WANG Chunlin , FENG Yiming , YE Jian , et al . Multi⁃objective parameters optimization of centrifugal slurry pump based on RBF neural network and NSGA⁃Ⅱ genetic algorithm [J]. Transactions of the Chinese Society of Agricultural Engineering , 2017 , 33 （ 10 ）: 109 ⁃ 115 . （in Chinese）

王春林 , 胡蓓蓓 , 冯一鸣 , 等 . 基于径向基神经网络与粒子群算法的双叶片泵多目标优化 [J]. 农业工程学报 , 2019 , 35 （ 2 ）: 25 ⁃ 32 .

WANG Chunlin , HU Beibei , FENG Yiming , et al . Multi⁃objective optimization of double vane pump based on radial basis neural network and particle swarm [J]. Transactions of the Chinese Society of Agricultural Engineering , 2019 , 35 （ 2 ）: 25 ‑ 32 . （in Chinese）

ZHANG Renhui , GUO Rong , YANG Junhu , et al . Inverse method of centrifugal pump impeller based on proper orthogonal decomposition （POD） method [J]. Chinese Journal of Mechanical Engineering , 2017 , 30 （ 2 ）: 1025 ⁃ 1031 .

张人会 , 陈学炳 , 郭广强 , 等 . 低比转数离心泵叶轮内流场重构与模态分析 [J]. 农业机械学报 , 2018 , 49 （ 12 ）: 143 ⁃ 149 .

ZHANG Renhui , CHEN Xuebing , GUO Guangqiang , et al . Reconstruction and modal analysis for flow field of low specific speed centrifugal pump impeller [J]. Transactions of the Chinese Society for Agricultural Machinery , 2018 , 49 （ 12 ）: 143 ⁃ 149 . （in Chinese）

郭广强 , 张人会 , 陈学炳 , 等 . 低比转速离心叶轮的 POD 代理模型优化方法 [J]. 华中科技大学学报（自然科学版） , 2019 , 47 （ 7 ）: 50 ⁃ 55 .

GUO Guangqiang , ZHANG Renhui , CHEN Xuebing , et al . Optimization method for low specific speed centrifugal impeller based on POD surrogate model [J]. Journal of Huazhong University of Science and Technology （Natural Science Edition） , 2019 , 47 （ 7 ）: 50 ⁃ 55 . （in Chinese）

王春林 , 彭海菠 , 丁剑 , 等 . 基于响应面法的消防泵 S 型叶片改进优化设计 [J]. 机械工程学报 , 2013 , 49 （ 10 ）: 170 ⁃ 177 .

WANG Chunlin , PENG Haibo , DING Jian , et al . Optimization for S⁃type blade of fire pump based on response surface method [J]. Journal of Mechanical Engineering , 2013 , 49 （ 10 ）: 170 ⁃ 177 . （in Chinese）

袁寿其 , 王文杰 , 裴吉 , 等 . 低比转数离心泵的多目标优化设计 [J]. 农业工程学报 , 2015 , 31 （ 5 ）: 46 ⁃ 52 .

YUAN Shouqi , WANG Wenjie , PEI Ji , et al . Multi⁃objective optimization of low⁃specific⁃speed centrifugal pump [J]. Transactions of the Chinese Society of Agricultural Engineering , 2015 , 31 （ 5 ）: 46 ⁃ 52 . （in Chinese）

张人会 , 郭苗 , 杨军虎 , 等 . 基于伴随方法的离心泵叶轮优化设计 [J]. 排灌机械工程学报 , 2014 , 32 （ 11 ）: 943 ⁃ 954 .

ZHANG Renhui , GUO Miao , YANG Junhu , et al . Blade shape optimization of centrifugal pump impeller with adjoint method [J]. Journal of Drainage and Irrigation Machinery Engineering , 2014 , 32 （ 11 ）: 943 ⁃ 954 . （in Chinese）

CHAHINE C , SEUME J R , VERSTRAETE T . The influence of metamodeling techniques on the multidisciplinary design optimization of a radial compressor impeller [R]. ASME Paper GT2012⁃68358 , 2012 .

ANDRÉS E , SALCEDO S S , MONGE F , et al . Efficient aerodynamic design through evolutionary programming and support vector regression algorithms [J]. Expert Systems with Applications , 2012 , 39 （ 12 ）: 10700 ⁃ 10708 .

XIONG Huadi , CHEN Zhenzhong , QIU Haobo , et al . Adaptive SVR⁃HDMR metamodeling technique for high dimensional problems [C]∥ AASRI Procedia:The 2012 International Conference on Modeling,Identification and Control . Amsterdam : Elsevier , 2012 : 95 ⁃ 100 .

CHEN Liming , WANG Hu , YE Fan , et al . Comparative study of HDMRs and other popular metamodeling techniques for high dimensional problems [J]. Structural and Multidisciplinary Optimization , 2019 , 59 （ 1 ）: 21 ⁃ 42 .

姜丙孝 , 杨军虎 , 白小榜 , 等 . 基于高维混合模型与遗传算法的离心泵叶片优化 [J]. 华中科技大学学报（自然科学版） , 2020 , 48 （ 7 ）: 128 ⁃ 132 .

JIANG Bingxiao , YANG Junhu , BAI Xiaobang , et al . Optimization of centrifugal pump blade based on high⁃dimensional hybrid model and genetic algorithm [J]. Journal of Huazhong University of Science and Technology （Natural Science Edition） , 2020 , 48 （ 7 ）: 128 ⁃ 132 . （in Chinese）

JOHANN F G . Centrifugal pumps [M]. Berlin : Springer , 2020 .

SOBOL I M . Sensitivity estimates for nonlinear mathematical models [J]. Mathematical Modelling and Computational Experiment , 1993 , 1 （ 4 ）: 407 ⁃ 414 .

TUNGA M A . An approximation method to model multivariate interpolation problems:indexing HDMR [J]. Mathematical and Computer Modelling , 2011 , 53 （ 9/10 ）: 1970 ⁃ 1982 .

RABITZ H , ALIŞ Ö F . General foundations of high⁃dimensional model representations [J]. Journal of Mathematical Chemistry , 1999 , 25 : 197 ⁃ 233 .

ALIŞ Ö F , RABITZ H . Efficient implementation of high dimensional model representations [J]. Journal of Mathematical Chemistry , 2001 , 29 （ 2 ）: 127 ⁃ 142 .

杨晓伟 , 郝志峰 . 支持向量机的算法设计与分析 [M]. 北京 : 科学出版社 , 2013 .

李晓俊 , 袁寿其 , 潘中永 , 等 . 离心泵边界层网格的实现及应用评价 [J]. 农业工程学报 , 2012 , 28 （ 20 ）: 67 ⁃ 72 .

LI Xiaojun , YUAN Shouqi , PAN Zhongyong , et al . Realization and application evaluation of near⁃wall mesh in centrifugal pumps [J]. Transactions of the Chinese Society of Agricultural Engineering , 2012 , 28 （ 20 ）: 67 ⁃ 72 . （in Chinese）

章梓雄 , 董曾南 . 粘性流体力学 [M]. 北京 : 清华大学出版社 , 2011 .

DAVID C W . Turbulence modeling for CFD [M]. San Diego,US : DCW Industries , 2006 .

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Flow model for side chambers of centrifugal pumps considering impeller flow slip

基于自适应MOMEDA滚动轴承故障特征提取方法

考虑多源不确定性的复合材料风扇叶片高周疲劳失效概率评估

基于三维接触摩擦单元的套齿连接解析建模研究

组合式弹性金属密封泄漏特性实验研究与结构优化

Related Author

Yandong GU

Jinwu CHENG

Ao LIANG

Li CHENG

Peng WANG

Related Institution

College of Hydraulic Science and Engineering，Yangzhou University

National Research Center of Pumps，Jiangsu University

AI问答

Postal code：100079
Tel：（010）53879206 Email：tmw@bjxintong.com.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09082226号-64 京公网安备11010602201714号
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰