留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

轴向柱塞泵的空穴流动特性分析与优化

贠振刚 刘沛汉 李资

贠振刚,刘沛汉,李资. 轴向柱塞泵的空穴流动特性分析与优化[J]. 机械科学与技术,2023,42(8):1229-1235 doi: 10.13433/j.cnki.1003-8728.20220245
引用本文: 贠振刚,刘沛汉,李资. 轴向柱塞泵的空穴流动特性分析与优化[J]. 机械科学与技术,2023,42(8):1229-1235 doi: 10.13433/j.cnki.1003-8728.20220245
YUN Zhen′gang, LIU Peihan, LI Zi. Analysis and Optimization of Cavitation Flow Characteristics in Axial Piston Pump[J]. Mechanical Science and Technology for Aerospace Engineering, 2023, 42(8): 1229-1235. doi: 10.13433/j.cnki.1003-8728.20220245
Citation: YUN Zhen′gang, LIU Peihan, LI Zi. Analysis and Optimization of Cavitation Flow Characteristics in Axial Piston Pump[J]. Mechanical Science and Technology for Aerospace Engineering, 2023, 42(8): 1229-1235. doi: 10.13433/j.cnki.1003-8728.20220245

轴向柱塞泵的空穴流动特性分析与优化

doi: 10.13433/j.cnki.1003-8728.20220245
详细信息
    作者简介:

    贠振刚(1992−),讲师,硕士,研究方向为流体传动与控制技术,1362417343@qq.com

    通讯作者:

    刘沛汉,讲师,硕士,liupeihan007@126.com

  • 中图分类号: TH137

Analysis and Optimization of Cavitation Flow Characteristics in Axial Piston Pump

  • 摘要: 为了解决轴向柱塞泵气穴复杂问题,介绍泵的运动规律,分别建立柱塞腔压力、泵进出口流量和斜盘力矩计算模型,以柱塞腔内压力和出油口流量为基准,采用正交试验、Kriging曲面插值及遗传粒子群算法,对泵中液压油含气量、进油口压力梯度、柱塞转速以及柱塞直径进行优化计算。试验表明:油液中含气量、柱塞转速和柱塞直径对腔内压力和出油口流量的显著性值均小于0.05,当柱塞转速为700 r/min,柱塞直径为8 mm,油液中含气量为3%时,柱塞腔内压力和出油口流量分别为47 991 Pa和2.1 L/min,将优化结果导入AMESim单柱塞泵计算模型中,得到柱塞腔内负压为−29 573.5 Pa,出油口流量2.18 L/min,并无空穴现象发生,两者计算结果吻合程度均在合理范围内,验证了控制算法的优越性。
  • 图  1  轴向柱塞运动示意图

    Figure  1.  Schematic diagram of axial plunger movement

    图  2  施加在斜盘上的外力

    Figure  2.  External force on swashplate

    图  3  AMESim单柱塞泵仿真模型

    Figure  3.  AMESim single piston pump simulation model

    图  4  不同水平下柱塞腔内压力和出油口流量

    Figure  4.  Pressure in piston cavity and oil outlet flow at different levels

    图  5  因素C和A的Kriging插值拟合

    Figure  5.  Kriging interpolation fitting of factors C and A

    图  6  因素A和B的Kriging插值拟合

    Figure  6.  Kriging interpolation fitting of factors A and B

    图  7  种群均值及柱塞腔内压力最优解

    Figure  7.  Optimal solution of population mean and pressure in piston cavity

    图  8  种群均值及出油口流量最优解

    Figure  8.  Optimal solution of population mean and oil outlet flow

    图  9  优化后的柱塞腔内压力及出油口流量

    Figure  9.  Optimized pressure in plunger cavity and oil outlet flow

    表  1  因素水平表

    Table  1.   Factor level

    水平因素
    柱塞转速/
    (r·min−1)
    柱塞直径/
    mm
    油液中
    含气量/%
    进油口压力
    梯度/(Pa·m−1)
    170080.053
    290090.14
    311001015
    413001156
    5150012107
    下载: 导出CSV

    表  2  正交试验表

    Table  2.   Factor level

    试验
    方案
    柱塞转速/
    (r·min−1)
    柱塞直径/
    mm
    油液中
    含气量/%
    进油口压力
    梯度/(Pa·m−1)
    170080.053
    27009105
    37001057
    47001114
    5700120.16
    69008107
    7900954
    89001016
    9900110.13
    10900120.055
    111100856
    121100913
    131100100.15
    141100110.057
    15110012104
    161300815
    17130090.17
    181300100.054
    19130011106
    2013001253
    21150080.14
    22150090.056
    23150010103
    2415001155
    2515001217
    下载: 导出CSV

    表  3  多因素方差分析检验结果

    Table  3.   Test results of one-way ANOVA

    主体间效应的检验
    因变量:柱塞腔压力
    平方和自由度均方F显著性
    柱塞转速52436000004131090000013.0050.001
    柱塞直径63788000004159470000015.8200.021
    油液中含气量144924000004362310000035.9430.000
    进油口压力梯度30800000477000000.0760.987
    误差8064000008100800000
    校正后的总变异2695200000024
    因变量:出油口流量
    平方和自由度均方F显著性
    柱塞转速29.31447.32937.5630.000
    柱塞直径50.182412.54664.3030.001
    油液中含气量0.42640.1070.5460.407
    进油口压力梯度0.33840.0850.4340.781
    误差1.56180.195
    校正后的总变异81.82224
    下载: 导出CSV
  • [1] 寇保福, 李振顺, 张涨等. 高温下轴向柱塞泵滑靴副干滑动摩擦磨损性能[J]. 润滑与密封, 2021, 46(11): 115-121.

    KOU B F, LI Z S, ZHANG Z, et al. Dry sliding friction wear performance of slipper pair of axial piston pump at high temperature[J]. Lubrication and Seal, 2021, 46(11): 115-121. (in Chinese)
    [2] 赵立红, 程珩, 励文艳, 等. LMD样本熵与SVM结合的柱塞泵故障诊断研究[J]. 机械设计与制造, 2022, 373(3): 238-241. doi: 10.3969/j.issn.1001-3997.2022.03.049

    ZHAO L H, CHENG H, LI W Y, et al. Research on fault diagnosis method of plunger pump based on LMD and support vector machine[J]. Mechanical Design & Manufacturing, 2022, 373(3): 238-241. (in Chinese) doi: 10.3969/j.issn.1001-3997.2022.03.049
    [3] 闻德生, 隋广东, 冯佩坤, 等. 多输出径向柱塞泵输出特性分析与实验[J]. 农业机械学报, 2018, 49(10): 418-426. doi: 10.6041/j.issn.1000-1298.2018.10.049

    WEN D S, SUI G D, FENG P K, et al. Output characteristics analysis and experiment of multi-output radial piston pump[J]. Transactions of the Chinese Society for Agricultural Machinery, 2018, 49(10): 418-426. (in Chinese) doi: 10.6041/j.issn.1000-1298.2018.10.049
    [4] SEENIRAJ G K, IVANTYSYNOVA M. Impact of valve plate design on noise, volumetric efficiency and control effort in an axial piston pump[C]//ASME 2006 International Mechanical Engineering Congress and Exposition. Chicago: ASME, 2006: 77-84.
    [5] PELOSI M, IVANTYSYNOVA M. Heat transfer and thermal elastic deformation analysis on the piston/cylinder Interface of axial piston machines[J]. Journal of Tribology, 2012, 134(4): 041101. doi: 10.1115/1.4006980
    [6] YE S G, ZHANG J H, XU B. Noise reduction of an axial piston pump by valve plate optimization[J]. Chinese Journal of Mechanical Engineering, 2018, 31(1): 57. doi: 10.1186/s10033-018-0258-x
    [7] ZHOU J J, ZHOU J C, JING C B. Experimental research on the dynamic lubricating performance of slipper/swash plate interface in axial piston pumps[J]. Chinese Journal of Mechanical Engineering, 2020, 33(1): 25. doi: 10.1186/s10033-020-00441-7
    [8] YE S G, TANG H S, REN Y, et al. Study on the load-carrying capacity of surface textured slipper bearing of axial piston pump[J]. Applied Mathematical Modelling, 2020, 77: 554-584. doi: 10.1016/j.apm.2019.07.058
    [9] 任博, 吕震宙, 刘超, 等. 基于Kriging模型的小子样失效数据可靠性分析[J]. 机械科学与技术, 2015, 34(11): 1789-1793. doi: 10.13433/j.cnki.1003-8728.2015.1127

    REN B, LV Z Z, LIU C, et al. Reliability analysis for failure data of small samples based on kriging model[J]. Mechanical Science and Technology for Aerospace Engineering, 2015, 34(11): 1789-1793. (in Chinese) doi: 10.13433/j.cnki.1003-8728.2015.1127
    [10] 叶绍干, 葛纪刚, 侯亮, 等. 基于遗传算法的轴向柱塞泵配流盘密封环结构多目标优化[J]. 农业机械学报, 2022, 53(1): 441-450. doi: 10.6041/j.issn.1000-1298.2022.01.048

    YE S G, GE J G, HOU L, et al. Multi-objective optimization of cylinder/valve-plate sealing ring in axial piston pump based on genetic algorithm[J]. Transactions of the Chinese Society for Agricultural Machinery, 2022, 53(1): 441-450. (in Chinese) doi: 10.6041/j.issn.1000-1298.2022.01.048
    [11] 郭一谚, 姜玉海, 郭瑞, 等. 电控比例变量泵的模糊控制算法研究[J]. 兵器材料科学与工程, 2021, 44(6): 103-106. doi: 10.14024/j.cnki.1004-244x.20211026.006

    GUO Y Y, JIANG Y H, GUO R, et al. Fuzzy control algorithm based on electronically controlled proportional variable pump[J]. Ordnance Material Science and Engineering, 2021, 44(6): 103-106. (in Chinese) doi: 10.14024/j.cnki.1004-244x.20211026.006
    [12] 徐孜, 潮群, 高浩寒, 等. 采用参数化解调的变转速下柱塞泵故障诊断方法[J]. 西安交通大学学报, 2021, 55(10): 19-29. doi: 10.7652/xjtuxb202110003

    XU Z, CHAO Q, GAO H H, et al. A fault diagnosis method for piston pump under variable speed conditions using parameterized demodulation[J]. Journal of Xi'an Jiaotong University, 2021, 55(10): 19-29. (in Chinese) doi: 10.7652/xjtuxb202110003
    [13] 张延君, 张洪信, 赵清海, 等. 转套式配流系统三角减振槽结构及其对流场影响[J]. 机械科学与技术, 2018, 37(6): 834-838. doi: 10.13433/j.cnki.1003-8728.2018.0603

    ZHANG Y J, ZHANG H X, ZHAO Q H, et al. Triangular damping groove structure and its influence on flow field for rotating sleeve distributing-flow system[J]. Mechanical Science and Technology for Aerospace Engineering, 2018, 37(6): 834-838. (in Chinese) doi: 10.13433/j.cnki.1003-8728.2018.0603
    [14] 索晓宇, 姜毅, 王文杰, 等. 飞机舵面液压系统高压泵空化流动特性与优化[J]. 航空学报, 2023, 44(9): 189-203.

    SUO X Y, JIANG Y, WANG W J, et al. Cavitation flow characteristics and optimization of high-pressure pumps in hydraulic system of aircraft control surfaces[J]. Acta Aeronautica et Astronautica Sinica, 2023, 44(9): 189-203. (in Chinese)
    [15] 黄家海, 贺伟, 郝惠敏, 等. 变排量非对称轴向柱塞泵控制特性分析[J]. 农业机械学报, 2019, 50(3): 368-376. doi: 10.6041/j.issn.1000-1298.2019.03.042

    HUANG J H, HE W, HAO H M, et al. Analysis of control characteristics of variable-displacement asymmetric axial piston pump[J]. Transactions of the Chinese Society for Agricultural Machinery, 2019, 50(3): 368-376. (in Chinese) doi: 10.6041/j.issn.1000-1298.2019.03.042
    [16] 姜晓天, 张洪信, 赵清海, 等. 转套式配流系统U型减振槽结构设计优化[J]. 机械科学与技术, 2019, 38(1): 23-29. doi: 10.13433/j.cnki.1003-8728.20180102

    JIANG X T, ZHANG H X, ZHAO Q H, et al. Structural optimization design of U-shaped damping groove in rotating-sleeve distributing-flow system[J]. Mechanical Science and Technology for Aerospace Engineering, 2019, 38(1): 23-29. (in Chinese) doi: 10.13433/j.cnki.1003-8728.20180102
    [17] 王虹艳, 李永康, 廉自生等. 基于凸轮曲线的阀配流柱塞泵输出特性分析[J]. 华中科技大学学报(自然科学版), 2022, 50(2): 32-37.

    WANG H Y, LI Y K, LIAN Z S, et al. Analysis of output characteristics of valve port plunger pump based on cam curve[J]. Journal of Huazhong University of Science and Technology (Natural Science Edition), 2022, 50(2): 32-37. (in Chinese)
    [18] 易帅, 孙巧雷, 冯定, 等. 基于正交试验和神经网络的液压杆稳定性研究[J]. 液压与气动, 2021(2): 16-22. doi: 10.11832/j.issn.1000-4858.2021.02.003

    YI S, SUN Q L, FENG D, et al. Stability of hydraulic rod based on orthogonal test and neural network[J]. Chinese Hydraulics & Pneumatics, 2021(2): 16-22. (in Chinese) doi: 10.11832/j.issn.1000-4858.2021.02.003
    [19] 伍勇, 郭有松, 洪明. 基于正交设计的黏滞流体阻尼器性能仿真及参数分析[J]. 中国舰船研究, 2021, 16(3): 164-169. doi: 10.19693/j.issn.1673-3185.01872

    WU Y, GUO Y S, HONG M. Performance simulation and parameter analysis of viscous fluid damper based on orthogonal design[J]. Chinese Journal of Ship Research, 2021, 16(3): 164-169. (in Chinese) doi: 10.19693/j.issn.1673-3185.01872
    [20] 王银, 孙泽刚, 李开世, 等. 基于Kriging代理模型液压锥阀抗空化结构优化研究[J]. 液压与气动, 2019(1): 75-80. doi: 10.11832/j.issn.1000-4858.2019.01.013

    WANG Y, SUN Z G, LI K S, et al. Optimization based on kriging agent model for anti-cavitation structure of hydraulic poppet valve[J]. Chinese Hydraulics & Pneumatics, 2019(1): 75-80. (in Chinese) doi: 10.11832/j.issn.1000-4858.2019.01.013
    [21] 周香, 陈文琳, 王晓花, 等. 基于Kriging代理模型和遗传算法的注塑件翘曲优化[J]. 塑性工程学报, 2015, 22(2): 142-147. doi: 10.3969/j.issn.1007-2012.2015.02.026

    ZHOU X, CHEN W L, WANG X H, et al. Warpage optimization for injection molding based on Kriging model and genetic algorithms[J]. Journal of Plasticity Engineering, 2015, 22(2): 142-147. (in Chinese) doi: 10.3969/j.issn.1007-2012.2015.02.026
  • 加载中
图(9) / 表(3)
计量
  • 文章访问数:  167
  • HTML全文浏览量:  50
  • PDF下载量:  18
  • 被引次数: 0
出版历程
  • 收稿日期:  2021-02-05
  • 网络出版日期:  2023-09-13
  • 刊出日期:  2023-08-31

目录

    /

    返回文章
    返回