基于代理模型的航空燃油泵空化性能分析

doi:10.7527/S1000-6893.2016.0102

Abstract

Abstract:

In order to investigate the influence of the structure parameters (which are blade angle of inducer at exit and blade angle of impeller at inlet) of fuel pump on the cavitation performance of an aviation fuel pump, the global sensitivity analysis method that based on the surrogate method was applied, and also, the structure parameters of fuel pump had been optimized. In the numerical simulation, the local swirling correction turbulence model deriving from the standard k-ε two-equation model and Zwart cavitation model were applied. The results show that in a certain range of variation, the blade angle has a greater influence on the cavitation performance, instead of the external characteristics of fuel pump. Compared to the outlet angle of inducer, the inlet angle of impeller affects the cavitation performance more significantly. With the increase of the outlet angle of inducer, the cavitation performance firstly decreases and then increases. Based on the Pareto optimal solutions, the optimized outlet angle of inducer and inlet angle of impeller increase by 4.4°and 3.2°respectively, with the cavitation performance increasing by 18%.

Key words: fuel pumps, surrogate model, turbulence model, cavitation performance, analysis and optimization

CLC Number:

XIONG Yinghua, LIU Ying, ZHAO Xing'an, SUN Huawei, WANG Guoyu, GAO Deming. Analysis of cavitation performance of an aviation fuel pump based on surrogate model[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2016, 37(10): 2952-2960.

References

[1] 樊思齐, 李华聪. 航空发动机控制[M]. 西安:西北工业大学出版社, 2008. FAN S Q, LI H C. Aeroengine control[M]. Xi'an:Northwestern Polytechnical University Press, 2008(in Chinese).
[2] 薛梅新, 吴迪, 朴英. 加力燃油泵压出室非设计工况内流特征数值模拟[J]. 航空动力学报, 2012, 27(2):419-424. XUE X M, WU D, PIAO Y. Numerical simulation on internal flow characteristics in the discharge chamber of an afterburning fuel pump under off-design conditions[J]. Journal of Aerospace Power, 2012, 27(2):419-424(in Chinese).
[3] 殷吉超, 朴英, 彭晓峰. 高速燃油离心泵内流场分析和气蚀过程仿真[J]. 计算机仿真, 2008, 25(6):70-74. YIN J C, PIAO Y, PENG X F. Numerical simulation of flow field and cavitations in high-speed kerosene centrifugal pump[J]. Computer Simulation, 2008, 25(6):70-74(in Chinese).
[4] 王凯. 离心泵多工况水力设计和优化及其应用[D]. 镇江:江苏大学, 2011. WANG K. Multi-conditions hydraulic design and optimization for centrifugal pumps and its application[D]. Zhenjiang:Jiangsu University, 2011(in Chinese).
[5] 何希杰. 离心泵叶轮入口参数最优化设计的研究[J]. 排灌机械工程学报, 1987, 5(4):18-25. HE X J. Researching on optimization method for impeller inlet parameters of centrifugal pump[J]. Journal of Drainage and Irrigation Machinery Engineering, 1987, 5(4):18-25(in Chinese).
[6] 葛宰林, 吕斌, 于馨. 基于速度系数法的离心泵叶轮优化设计[J]. 大连铁道学院学报, 2006, 27(3):37-40. GE Z L, LV B, YU X. Optimal design of centrifugal pump impeller[J]. Journal of Dalian Railway Institute, 2006, 27(3):37-40(in Chinese).
[7] 高江永, 郭振苗. 离心泵叶轮与蜗壳设计几何参数的优化研究[J]. 水泵技术, 2007(4):6-9. GAO J Y, GUO Z M. Study on optimization of centrifugal pump impeller's and volute's designed parameters[J]. Pump Technology, 2007(4):6-9(in Chinese).
[8] SUANNE T, RUDOLF S. Optimization of hydraulic machinery bladings by multilevel CFD techniques[J]. International Journal of Rotating Machinery, 2005, 2(2):161-167.
[9] 刘厚林, 王凯, 袁寿其, 等. 一种基于CFD的离心泵多工况水力优化方法:CN101956711A[P]. 2011-01-26. LIU H L, WANG K, YUAN S Q, et al. A multi-conditions hydraulic optimization method for centrifugal pump based on CFD:CN101956711A[P]. 2011-01-26(in Chinese).
[10] GOEL T, DORNEY D J, HAFTKA R T, et al. Improving the hydrodynamic performance of diffuser vanes via shape optimization[J]. Computer & Fluids, 2008, 37(6):705-723.
[11] 杨卓懿, 庞永杰, 王建,等. 响应面模型在艇型多目标优化中的应用[J]. 哈尔滨工程大学学报, 2011, 32(4):407-410. YANG Z Y, PANG Y J, WANG J, et al. Application of a response surface model in multi-objective optimization for submersible shapes[J]. Journal of Harbin Engineering University, 2011, 32(4):407-410(in Chinese).
[12] 吴钦, 王国玉. 低温介质质量传输空化模型的代理分析及优化[J]. 应用力学学报, 2013,30(5):700-706. WU Q, WANG G Y. Surrogate-based analysis and optimization of the transport-based cryogenic cavitation model[J]. Chinese Journal of Applied Mechanics, 2013, 30(5):700-706(in Chinese).
[13] 赵宇, 王国玉, 黄彪. 考虑当地涡旋运动修正的湍流模型在非定常空化湍流流场计算中的应用[J]. 应用力学学报, 2014, 31(1):1-6. ZHAO Y, WANG G Y, HUANG B. Applications of LSC turbulence model on unsteady cavitating flows[J]. Chinese Journal of Applied Mechanics, 2014, 31(1):1-6(in Chinese).
[14] ZWART P J, GERBER A G, BELAMRI T. A two-phase flow model for predicting cavitation dynamics[C]//Proceedings of ICMF 2004 International Conference on Multiphase Flow. Yokohama, Japan:2004:1-11.
[15] 熊英华,刘影,李述林,等. 基于替代燃料的航空燃油泵内部空化特性[J].航空动力学报,2015,30(11):2607-2615. XIONG Y H, LIU Y, LI S L, et al. Cavitation characteristic in aviation fuel pump based on surrogate fuel[J]. Journal of Aerospace Power, 2015,30(11):2607-2615(in Chinese).
[16] 关醒凡. 泵的理论与设计[M]. 北京:机械工业出版社, 1987. GUAN X F. Pumps theory and design[M]. Beijing:China Machine Press, 1987(in Chinese).
[17] QUEIPO N V, HAFTKA R T, SHYY W, et al. Surrogate-based analysis and optimization[J]. Progress in Aerospace Sciences, 2005, 41:1-28.
[18] MACK Y, GOEL T, SHYY W, et al. Surrogate model-based optimization framework:A case study in aerospace design[J]. Studies in Computational Intelligence, 2007, 51:323-342.
[19] BASAK D, PAL S, PATRANABIS D C. Support vector regression[J]. Neural Information Processing Letters & Reviews, 2007, 11(10):203-224.
[20] GOEL T, HAFTKA R T, SHYY W, et al. Ensemble of surrogates[J]. Structure and Multidiscipline Optimization, 2007, 33(3):199-216.
[21] CHO Y C, DU W, GUPTA A, et al. Surrogate-based modeling and dimension-reduction techniques for thermo-fluid and energy systems[C]//ASME/JSME 20118th Thermal Engineering Joint Conference. American Society of Mechanical Engineers.New York:ASME, 2011:1-19.

Analysis of cavitation performance of an aviation fuel pump based on surrogate model

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments

[1]	Zhuangzhuang CUI, Xin YUAN, Guoqing ZHAO, Simeng JING, Qijun ZHAO. Influence of control strategy on forward flight performance of coaxial rigid rotor high⁃speed helicopters [J]. Acta Aeronautica et Astronautica Sinica, 2024, 45(9): 529256-529256.
[2]	Jiaqi LIU, Rongqian CHEN, Jinhua LOU, Xu HAN, Hao WU, Yancheng YOU. Aerodynamic shape optimization of high-speed helicopter rotor airfoil based on deep learning [J]. Acta Aeronautica et Astronautica Sinica, 2024, 45(9): 529828-529828.
[3]	Yuhan LI, Baoyu YANG, Yinong WU, Qiang ZHANG, Xiao TANG. Research on parameters correction method for thermal model of satellite optomechanical load [J]. Acta Aeronautica et Astronautica Sinica, 2024, 45(6): 628814-628814.
[4]	Shusheng CHEN, Cong FENG, Zhaokang ZHANG, Ke ZHAO, Xinyang ZHANG, Zhenghong GAO. Aerodynamic design of wide-speed-range waverider-wing configuration based on global & gradient optimization method [J]. Acta Aeronautica et Astronautica Sinica, 2024, 45(6): 629596-629596.
[5]	Weiguo ZHAO, Huanhuan QIANG, Xingguo LI. Effect of annular nozzle breadth on cavitation characteristics of high⁃speed inducer [J]. Acta Aeronautica et Astronautica Sinica, 2024, 45(4): 128730-128730.
[6]	Hongbo WANG, Yu ZENG, Dapeng XIONG, Yixin YANG, Mingbo SUN. Improvement of shock wave and compressibility effects in SST turbulence model [J]. Acta Aeronautica et Astronautica Sinica, 2024, 45(3): 128694-128694.
[7]	Kailing ZHANG, Siyi LI, Yi DUAN, Chao YAN. Uncertainty quantification of parameters in SST turbulence model for inlet simulation [J]. Acta Aeronautica et Astronautica Sinica, 2023, 44(S2): 729429-729429.
[8]	Yu ZENG, Hongbo WANG, Mingbo SUN, Chao WANG, Xu LIU. SST turbulence model improvements: Review [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2023, 44(9): 27411-027411.
[9]	Huan ZHAO, Zhenghong GAO, Lu XIA. Novel multi-fidelity surrogate model assisted many-objective optimization method [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2023, 44(6): 126962-126962.
[10]	Huan ZHAO, Zhenghong GAO, Lu XIA. Aerodynamic shape design optimization method based on novel high⁃dimensional surrogate model [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2023, 44(5): 126924-126924.
[11]	Zhiyang ZHENG, Yang ZHANG, Zhao ZHANG, Baohai WU, Ying ZHANG. Layout optimization of auxiliary support for thin-walled blade based on GA-SVR [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2023, 44(4): 426805-426805.
[12]	Ting YU, Luyi LI, Yushan LIU, Zeming CHANG. Efficient Bayesian updating method under observation uncertainty and its application in wing structure [J]. Acta Aeronautica et Astronautica Sinica, 2023, 44(24): 228592-228592.
[13]	Tantao LIU, Ruiyu LI, Limin GAO, Lei ZHAO. Experimental data driven cascade flow field prediction based on data assimilation [J]. Acta Aeronautica et Astronautica Sinica, 2023, 44(14): 628201-628201.
[14]	Weifang CHEN, Jinghua SUN, Deyang TIAN, Yesi CHEN. Influence of physical and chemical models on electromagnetic scattering characteristics of flow field [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2023, 44(12): 127707-127707.
[15]	Wanying YUN, Zhenzhou LYU. An efficient surrogate method for analyzing parameter global reliability sensitivity [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2023, 44(12): 227670-227670.