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复杂管网系统未知信息调节阀的一种瞬变建模方法

王烨君 陈阳 蔡国飙 黄玉龙 王仙勇

王烨君, 陈阳, 蔡国飙, 等 . 复杂管网系统未知信息调节阀的一种瞬变建模方法[J]. 北京航空航天大学学报, 2020, 46(8): 1535-1544. doi: 10.13700/j.bh.1001-5965.2019.0486
引用本文: 王烨君, 陈阳, 蔡国飙, 等 . 复杂管网系统未知信息调节阀的一种瞬变建模方法[J]. 北京航空航天大学学报, 2020, 46(8): 1535-1544. doi: 10.13700/j.bh.1001-5965.2019.0486
WANG Yejun, CHEN Yang, CAI Guobiao, et al. A transient modeling method for unknown information regulating valves in complex pipeline network system[J]. Journal of Beijing University of Aeronautics and Astronautics, 2020, 46(8): 1535-1544. doi: 10.13700/j.bh.1001-5965.2019.0486(in Chinese)
Citation: WANG Yejun, CHEN Yang, CAI Guobiao, et al. A transient modeling method for unknown information regulating valves in complex pipeline network system[J]. Journal of Beijing University of Aeronautics and Astronautics, 2020, 46(8): 1535-1544. doi: 10.13700/j.bh.1001-5965.2019.0486(in Chinese)

复杂管网系统未知信息调节阀的一种瞬变建模方法

doi: 10.13700/j.bh.1001-5965.2019.0486
基金项目: 

国家自然科学基金 11101023

详细信息
    作者简介:

    王烨君  男,硕士研究生。主要研究方向:液体推进系统动力学与仿真

    陈阳  男,博士,讲师,硕士生导师。主要研究方向:液体推进系统动力学与仿真

    通讯作者:

    陈阳, E-mail:yangchen@buaa.edu.cn

  • 中图分类号: V434

A transient modeling method for unknown information regulating valves in complex pipeline network system

Funds: 

National Natural Science Foundation of China 11101023

More Information
  • 摘要:

    关键调节阀信息缺失是制约复杂管网系统可建模的重要因素。通过对调节阀建模研究的分类和总结,得出了多数调节阀的流量特性曲线均处于等百分比与线性之间的结论;进而针对结构和节流特性均未知的调节阀,提出了一种利用信息已知的基准阀门模型和有限的系统试验数据进行建模的方法。对核心机试验台气路系统中2个未知信息调节阀的建模与仿真表明:在常温0~1 400 s、低温0~1 240 s两种工况下,选用3种不同基准阀门模型仿真结果的差别低于10%,2个调节阀在47组件气路全系统仿真中的流量曲线与试验曲线之间的平均误差在15%以内,系统下游两支路的压强仿真曲线与试验曲线之间的最大误差低于15%,为解决此类问题提供了一种有效的建模方案。

     

  • 图 1  核心机试验台气路系统的数值仿真模型

    Figure 1.  Numerical simulation model of core engine test rig gas circuit system

    图 2  气体阀门的有限体积模型

    Figure 2.  Finite volume model of gas valve

    图 3  Vanessa阀、HCB阀、YYL阀和线性阀门的流量特性曲线

    Figure 3.  Flow characteristic curves of Vanessa valve, HCB valve, YYL valve and linear valve

    图 4  F3调节阀简化系统的数值仿真模型

    Figure 4.  Numerical simulation model of F3 valve simple system

    图 5  简化系统中F3调节阀采用3种基准阀门模型建模的仿真结果对比

    Figure 5.  Comparison of simulation results of F3 valve modeling by three reference-valve models in simple system

    图 6  F4调节阀简化系统的数值仿真模型

    Figure 6.  Numerical simulation model of F4 valve simple system

    图 7  简化系统中F4调节阀采用3种基准阀门模型建模的仿真结果对比

    Figure 7.  Comparison of simulation results of F4 valve modeling by three reference-valve models in simple system

    图 8  常温工况下F3调节阀采用3种基准阀门模型建模的仿真结果与试验测量结果对比

    Figure 8.  Comparison of simulation results of F3 valve modeling by three reference-valve models with experimental measurements under normal-temperature condition

    图 9  低温工况下F4调节阀采用3种基准阀门模型建模的仿真结果与试验测量结果对比

    Figure 9.  Comparison of simulation results of F4 valve modeling by three reference-valve models with experimental measurements under low-temperature condition

    表  1  使用标定-校准方法计算的F3调节阀额定流量系数

    Table  1.   Calculation process of F3 valve rated flow coefficient by calibration-adjusting method

    基准阀门模型 系统试验数据 额定流量系数标定结果 额定流量系数校准结果
    p1/MPa p2/MPa T1/K T2/K τ Qm/(kg·s-1)
    Vanessa阀
    HCB阀
    YYL阀
    1.37 超临界情况下不需要 289.86 超临界情况下不需要 0.44 14.67 60.24(KvRating)
    351.4 (CdRating)
    741.6(CdRating)
    81.64(KvRating)
    410(CdRating)
    960(CdRating)
    下载: 导出CSV

    表  2  使用试算-标定方法计算的F4调节阀额定流量系数

    Table  2.   Calculation process of F4 valve rated flow coefficient by trial-calibration method

    基准阀门模型 二分法 试算次数 额定流量系数标定结果 额定流量系数最终收敛区间
    最小初值 最大初值
    Vanessa阀 1.0 81.64 10 4.5(KvRating) (4.78, 5.10)
    HCB阀 1.0 81.64 7 39(CdRating) (38.8, 41.32)
    YYL阀 1.0 200 7 63(CdRating) (61.63, 63.19)
    下载: 导出CSV
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出版历程
  • 收稿日期:  2019-09-06
  • 录用日期:  2020-01-17
  • 刊出日期:  2020-08-20

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