Please wait a minute...
工程设计学报
Chin J Eng Design  2022, Vol. 29 Issue (6): 705-712    DOI: 10.3785/j.issn.1006-754X.2022.00.089
Optimization Design     
Parameter optimization of single plunger pump check valve based on linear regression
Xin MI1(),Hong LI1(),Yan-qing GUO1,Hong-wei GAO2,Hao-nan WANG1,Yi-fan NING1
1.School of Mechanical Engineering, North University of China, Taiyuan 030051, China
2.Shaanxi Sensor Intelligent Measurement and Control Co. , Ltd. , Xi’an 710100, China
Download: HTML     PDF(1990KB)
Export: BibTeX | EndNote (RIS)      

Abstract  

Aiming at the problems of insufficient oil suction and slow system response caused by the unreasonable parameters of the distribution check valve in single plunger pump system, a multi parameter optimization method based on linear regression was proposed. Firstly, the simulation analysis of single plunger pump system was carried out by AMESim software, and the relationship between different check valve parameters (spring pre-tightening force, spring stiffness and valve core mass) and oil inlet flow was discussed by using MATLAB fitting toolbox. Then, on the basis of using the principal component analysis method to eliminate the correlation between the parameters, taking the oil inlet flow as the dependent variable, the spring pre-tightening force, spring stiffness and valve core mass as the independent variable, and the value range of each parameter as the constraint condition, a check valve parameter optimization model based on linear regression was established, and the genetic algorithm was used to optimize the solution. Finally, according to the parameters of the check valve before and after optimization, the simulation analysis and experimental verification of the single plunger pump system were carried out. The simulation results showed that the oil inlet flow was increased by 21.3% after optimization; the experimental results showed that the actual oil inlet flow was increased by 16.8% after optimization. The research shows that the proposed multi parameter optimization method is an effective method, which can provide reference for the parameter optimization of the distribution check valve in single plunger pump system.

Key words： check valve      linear regression      spring pre-tightening force      spring stiffness      genetic algorithm     
Received: 16 May 2022      Published: 06 January 2023
CLC:  TH 137.5  
Corresponding Authors: Hong LI     E-mail: 1327164740@qq.com;lihong1000@nuc.edu.cn
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors
Xin MI
Hong LI
Yan-qing GUO
Hong-wei GAO
Hao-nan WANG
Yi-fan NING
Cite this article:

Xin MI,Hong LI,Yan-qing GUO,Hong-wei GAO,Hao-nan WANG,Yi-fan NING. Parameter optimization of single plunger pump check valve based on linear regression. Chin J Eng Design, 2022, 29(6): 705-712.

URL:

https://www.zjujournals.com/gcsjxb/10.3785/j.issn.1006-754X.2022.00.089     OR     https://www.zjujournals.com/gcsjxb/Y2022/V29/I6/705


基于线性回归的单柱塞泵单向阀参数优化

针对单柱塞泵系统中配流单向阀参数不合理所导致的吸油不充分、系统响应慢等问题，提出了一种基于线性回归的多参数优化方法。首先，通过AMESim软件进行单柱塞泵系统仿真分析，并利用MATLAB拟合工具箱分别探讨了不同单向阀参数（弹簧预紧力、弹簧刚度和阀芯质量）与进油口流量的关系。然后，在利用主成分分析法消除各参数之间相关性的基础上，以进油口流量为因变量，弹簧预紧力、弹簧刚度和阀芯质量为自变量，各参数的取值范围为约束条件，建立了基于线性回归的单向阀参数优化模型，并采用遗传算法进行优化求解。最后，根据优化前后的单向阀参数，对单柱塞泵系统进行仿真分析和实验验证。仿真结果表明，优化后进油口流量提高了21.3%；实验结果表明，优化后进油口的实际流量提高了16.8%。研究表明，所提出的多参数优化方法是一种有效的方法，可为单柱塞泵系统中配流单向阀的参数优化提供参考。


关键词： 单向阀,  线性回归,  弹簧预紧力,  弹簧刚度,  遗传算法 
Fig.1 Schematic diagram of single plunger pump
Fig.2 Main dimensions of single plunger pump
Fig.3 Simulation model of single plunger pump system
Fig.4 Relation curve between oil inlet flow and spring pre-tightening force
Fig.5 Relation curve between oil inlet flow and spring stiffness
Fig.6 Relation curve between oil inlet flow and valve core mass
弹簧预紧力F/N

弹簧刚度

k/(N/mm)

阀芯质量

m/kg

进油口流量

q/(L/min)

a1a2a3W1W2
850.0130.601 2254.584 40.020 00.999 2-158.185 123.976 4
8.55.50.0230.645 3299.207 20.015 90.999 7-186.009 528.049 0
960.0330.669 9348.419 20.012 91.000 0-216.694 832.539 2
9.56.50.0430.666 1402.397 90.010 61.000 0-250.351 837.463 5
1070.0530.638 7461.317 60.008 80.999 8-287.089 342.837 9
10.57.50.0630.611 9525.349 50.007 50.999 3-327.014 248.678 2
1180.0727.729 8594.661 90.006 40.998 7-370.231 554.999 6
11.58.50.0818.443 9669.420 60.005 50.997 8-416.844 561.817 5
1290.0913.296 1749.788 60.004 80.996 6-466.955 069.146 6
Table 1 Principal component analysis results of check valve parameters
Fig.7 Comparison between actual value and fitting value of oil inlet flow
Fig.8 Technical route of parameter optimization based on genetic algorithm
Fig.9 Iterative curve of oil inlet flow based on genetic algorithm
Fig.10 Comparison of oil inlet flow before and after optimization
Fig.11 Comparison of check valve core displacement before and after optimization
Fig.12 Experimental device of single plunger pump system
传感器型号量程

精度

等级

流量计LWGY10~100 L/min0.5级
转速扭矩传感器HCNJ-106

5 000 N?m

6 000 r/min

±0.5%
Table 2 Parameters of sensor for experiment
型号体积流量/(L/min)阀芯质量/kg
RC14200.006
RC32600.025
Table 3 Parameters of different types of check valves
对比项单向阀型号进油口流量/(L/min)
优化前RC1430.15
优化后RC3235.22
Table 4 Comparison of actual oil inlet flow before and after optimization
[1]   LI Fei-yue， WANG Dong-yun， Qi-bing LÜ， et al. Prediction on the lubrication and leakage performance of the piston： cylinder interface for axial piston pumps［J］. Proceedings of the Institution of Mechanical Engineers， Part C： Journal of Mechanical Engineering Science， 2019， 23（16）： 5887-5896.
[2]   LEE B J， LEE C H. Fuel rail pressure control characteristics of a GDI high-pressure fuel pump using a newly developed experimental system controlled with a microcontroller［J］. International Journal of Automotive Technology， 2021， 22（2）： 489-497.
[3]   陶柳，王云，雷雄.基于AMESim的单向阀仿真研究分析［J］.装备制造技术，2016（2）：72-75. doi：10.3969/j.issn.1672-545X.2016.02.023
TAO Liu， WANG Yun， LEI Xiong. The simulation analysis of check valve based on AMESim［J］. Equipment Manufacturing Technology， 2016（2）： 72-75.
doi: 10.3969/j.issn.1672-545X.2016.02.023
[4]   陶柳.基于AMESim的单向阀稳定性影响因素仿真分析［J］.装备制造与教育，2017，31（4）：51-53.
TAO Liu. The simulation analysis of the influence factors of check valve stability based on AMESim［J］. Equipment Manufacturing and Education， 2017， 31（4）： 51-53.
[5]   姚丽英，高宇龙，张占东.基于AMESim的液压支架用液控单向阀工作特性分析［J］.煤矿机械，2019，40（9）：75-77.
YAO Li-ying， GAO Yu-long， ZHANG Zhan-dong. Working characteristics analysis of hydraulic operated check valve in hydraulic support based on AMESim［J］. Coal Mine Machinery， 2019， 40（9）： 75-77.
[6]   常玉连，李振海，高胜，等.弹簧劲度系数对单向阀开启过程的影响仿真研究［J］.科学技术与工程，2010，10（14）：3479-3481. doi：10.3969/j.issn.1671-1815.2010.14.037
CHANG Yu-lian， LI Zhen-hai， GAO Sheng， et al. The simulation of the impact on the opening of one-way valve due to spring stiffness coefficient［J］. Science Technology and Engineering， 2010， 10（14）： 3479-3481.
doi: 10.3969/j.issn.1671-1815.2010.14.037
[7]   李胜永.基于NLPQL的球型单向阀性能优化研究［J］.机电工程，2020，37（8）：916-920. doi：10.3969/j.issn.1001-4551.2020.08.010
LI Sheng-yong. Performance optimization of ball type check valve based on NLPQL［J］. Journal of Mechanical & Electrical Engineering， 2020， 37（8）： 916-920.
doi: 10.3969/j.issn.1001-4551.2020.08.010
[8]   WOO J， SOHN D K， KO H S. Analysis of stiffness effect on valve behavior of a reciprocating pump operated by piezoelectric elements［J］. Micromachines， 2020， 11（10）： 894.
[9]   XING Ming-ming， ZHOU Li-li， YAN Zhao， et al. Fluid characteristic of multiphase fluid in annular space between pump barrel and plunger［J］. Journal of Central South University， 2019， 26（5）： 1327-1341.
[10]   雷秀.液压与气压传动［M］.北京：机械工业出版社，2005：52-53.
LEI Xiu. Hydraulic and pneumatic transmission［M］. Beijing： China Machine Press， 2005： 52-53.
[11]   杨国来，白京浩，张明明，等.三单向阀配流电磁式往复泵性能影响因素分析［J］.液压与气动，2020（2）：23-29. doi：10.11832/j.issn.1000-4858.2020.02.004
YANG Guo-lai， BAI Jing-hao， ZHANG Ming-ming， et al. Analysis of influencing factors on performance of electromagnetic reciprocating pump with three check valves［J］. Chinese Hydraulics & Pneumatics， 2020（2）： 23-29.
doi: 10.11832/j.issn.1000-4858.2020.02.004
[12]   YOSHIDA R， ZHANG L， ZHANG X. Tropical principal component analysis and its application to phylogenetics［J］. Bulletin of Mathematical Biology， 2019， 81（2）： 1-30.
[13]   SOMHORST J， OEVERMANN M， BOVO M， et al. Evaluation of thermal barrier coatings and surface roughness in a single-cylinder light-duty diesel engine［J］. International Journal of Engine Research， 2021， 22（3）： 890-910.
[14]   ZHANG Shuan-lu， ZHAO Chang-lu， ZHAO Zhen-feng. Stability analysis of hydraulic free piston engine［J］. Applied Energy， 2015， 157： 805-813.
[15]   王延年，张豪，耿琅环，等.遗传算法优化模糊PID控制器在智能液压伺服控制系统中的应用［J］.国外电子测量技术，2018，37（12）：125-128.
WANG Yan-nian， ZHANG Hao， GENG Lang-huan， et al. Application of fuzzy PID control based on genetic algorithm in intelligent hydraulic servo controller［J］. Foreign Electronic Measurement Technology， 2018， 37（12）： 125-128.
[16]   刘洪，彭增雄，荆崇波.轴向柱塞泵滑靴油膜形状的遗传算法数值分析［J］.排灌机械工程学报，2012，30（1）：75-79. doi：10.3969/j.issn.1674-8530.2012.01.015
LIU Hong， PENG Zeng-xiong， JING Chong-bo. Numerical analysis of slipper bearing’s film shape in axial piston pump using genetic algorithms［J］. Journal of Drainage and Irrigation Machinery Engineering， 2012， 30（1）： 75-79.
doi: 10.3969/j.issn.1674-8530.2012.01.015
[1] Di ZHAO,Guo CHEN,Xiaoli CHEN,Xiongjin WANG. Terrain adaptive mechanism design and obstacle-surmounting performance analysis of wheeled search and rescue robot[J]. Chin J Eng Design, 2023, 30(5): 579-589.
[2] Fangjian DOU,Qingying QIU,Cheng GUAN,Jinjie SHAO,Haifeng WU. Optimization design of acceleration and deceleration curve of winding machine with large moment of inertia[J]. Chin J Eng Design, 2023, 30(4): 503-511.
[3] Qin LI,Ying-qi JIA,Yu-feng HUANG,Gang LI,Chuang YE. A multi-objective trajectory optimization algorithm for industrial robot[J]. Chin J Eng Design, 2022, 29(2): 187-195.
[4] ZHAO Kai-ping, HE Tao, WANG Chuan-li, SHI Rui. Research on amplitude compensation performance of double spring electro-hydraulic vibration cylinder[J]. Chin J Eng Design, 2021, 28(6): 737-745.
[5] DING Shu-yong, ZHANG Zheng, DING Wen-jie, LIN Yong. Optimization design of multi-lane stereo garage and research on vehicle access strategy[J]. Chin J Eng Design, 2021, 28(4): 443-449.
[6] YAN Guo-ping, ZHOU Jun-hong, ZHONG Fei, LI Zhe, ZHOU Hong-di, PENG Zhen-ao. Design and optimization of magnetic compression correction device for paper-plastic composite bag[J]. Chin J Eng Design, 2021, 28(3): 367-373.
[7] WU Bo, ZHANG Feng-hua, TIAN Feng, CU Qiang-yi. Operating time prediction of heat storage device in avionics module[J]. Chin J Eng Design, 2021, 28(1): 48-55.
[8] ZHANG Shuai, HAN Jun, TU Qun-zhang, YANG Xiao-qiang, YANG Xuan. Multi-objective optimization design of deployable mechanism of scissor folding bridge based on GA-NLP[J]. Chin J Eng Design, 2020, 27(1): 67-75.
[9] LIU Chun-qing, WANG Wen-han. Parameter optimization of generating method spherical precision grinding based on ANN-GA[J]. Chin J Eng Design, 2019, 26(4): 395-402.
[10] MA Tian-bing, WANG Xiao-dong, DU Fei, WANG Xin-quan. Fault diagnosis for rigid guide based on GA-SVM[J]. Chin J Eng Design, 2019, 26(2): 170-176.
[11] DENG Xing, YU Lan-feng, LEI Cong, XU Jiang-ping, XIAO Ze-ping. Lightweight design of trackless telescopic gantry crane based on response surface method[J]. Chin J Eng Design, 2018, 25(3): 288-294.
[12] TANG Wei, XIE Yan-min, HUANG Ren-yong, ZHANG Fei, PAN Bei-bei. Constitutive parameter inverse for nonisothermal stamping of magnesium alloy based on adaptive SVR-ELM mixture surrogate model[J]. Chin J Eng Design, 2017, 24(5): 536-544.
[13] LIU Rui-chun, ZHANG Huai-liang. Study of the output force characteristics of proportional solenoid with strong vibration[J]. Chin J Eng Design, 2017, 24(3): 311-316.
[14] CHENG Bing, YU Lan-feng, WU Yong-ming, FU Kang. Research on lightweight design of underfloor lifting system based on response surface method[J]. Chin J Eng Design, 2016, 23(6): 606-611.
[15] QIU Rui-bin, LEI Fei, CHEN Yuan, WANG Qiong. Research on the method of multi-case topology optimization of frame structure based on the weight ratio[J]. Chin J Eng Design, 2016, 23(5): 444-452.