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

基于冷气预冷技术的高马赫数涡轮发动机建模方法及循环分析

姚尧 王占学 张晓博 桂丰

姚尧, 王占学, 张晓博, 等. 基于冷气预冷技术的高马赫数涡轮发动机建模方法及循环分析[J]. 航空动力学报, 2023, 38(6):1378-1390 doi: 10.13224/j.cnki.jasp.20220505
引用本文: 姚尧, 王占学, 张晓博, 等. 基于冷气预冷技术的高马赫数涡轮发动机建模方法及循环分析[J]. 航空动力学报, 2023, 38(6):1378-1390 doi: 10.13224/j.cnki.jasp.20220505
YAO Yao, WANG Zhanxue, ZHANG Xiaobo, et al. Modeling method and cycle analysis of high-speed gas turbine engine with CCA technology[J]. Journal of Aerospace Power, 2023, 38(6):1378-1390 doi: 10.13224/j.cnki.jasp.20220505
Citation: YAO Yao, WANG Zhanxue, ZHANG Xiaobo, et al. Modeling method and cycle analysis of high-speed gas turbine engine with CCA technology[J]. Journal of Aerospace Power, 2023, 38(6):1378-1390 doi: 10.13224/j.cnki.jasp.20220505

基于冷气预冷技术的高马赫数涡轮发动机建模方法及循环分析

doi: 10.13224/j.cnki.jasp.20220505
基金项目: 国家自然科学基金(52076180); 国家科技重大专项(2017-Ⅰ-0001-0001)
详细信息
    作者简介:

    姚尧(1994-),男,博士生,研究领域为航空发动机总体性能仿真与设计

    通讯作者:

    张晓博(1982-),男,副教授,博士,研究领域为航空发动机总体性能仿真与设计。E-mail:zhangxb@nwpu.edu.cn

  • 中图分类号: V236

Modeling method and cycle analysis of high-speed gas turbine engine with CCA technology

  • 摘要:

    针对高马赫数涡轮发动机的涡轮部件热防护问题,以基于冷气预冷(CCA)技术的变循环涡扇(VCTF)发动机为例,建立燃油的热物性库,换热器、涡轮叶片冷却以及改进燃烧室的计算模型,发展VCTF发动机的设计点迭代计算模型,分析CCA技术对VCTF发动机循环性能的影响。结果表明:CCA技术能够在相同涡轮材料耐温的水平下进一步增大发动机净推力,但是耐高温涡轮叶片材料的应用仍是提升发动机的性能的关键。对于未采用耐高温涡轮叶片材料的低压涡轮(LPT),其导向器和转子的冷气量随着高压涡轮(HPT)材料耐温的水平提高而增大;采用CCA技术后,低压涡轮导向器的冷气量减少,但是未采用预冷引气的低压涡轮转子的冷气量进一步增大,耐高温涡轮叶片材料的应用能够明显降低这一不利影响。

     

  • 图 1  基于CCA技术的VCTF发动机结构示意图

    Figure 1.  Schematic diagram of VCTF engine structure with CCA technology

    图 2  基于CCA技术的VCTF发动机性能仿真模型

    Figure 2.  Simulation model for the VCTF engine performance with CCA technology

    图 3  3 MPa下RP-3的热物性参数对比

    Figure 3.  Thermophysical parameters comparison of RP-3 at 3 MPa

    图 4  涡轮叶片对流冷却和气膜冷却计算模型示意图[25]

    Figure 4.  Schematic diagram of turbine blade convection cooling and filming cooling[25]

    图 5  不同燃烧室出口总温下油气比随燃油温度变化

    Figure 5.  Variation of fuel-air ratio vs initial fuel temperature at different burner exit total temperature

    图 6  基于CCA技术的VCTF发动机的设计点迭代计算流程

    Figure 6.  Design point iterative calculation procedure of the VCTF engine with CCA technology

    图 7  不同涡轮前温度和涡轮叶片温度的限制水平下高压压气机出口的相对引气量

    Figure 7.  Relative bleeding air flow from HPC exit vs turbine inlet temperature and turbine blade temperature limits

    图 8  不同涡轮前温度和涡轮叶片温度的限制水平下VCTF发动机总体性能

    Figure 8.  Overall performance of the VCTF engine vs turbine inlet temperature and turbine blade temperature limits

    图 9  不同涡轮前温度和涡轮叶片温度的限制水平下高、低压涡轮的性能参数变化规律

    Figure 9.  Performance parameters of HPT and LPT vs. turbine inlet temperature and turbine blade temperature limits

    图 10  不同涡轮前温度和涡轮叶片温度的限制水平下燃油-空气换热器的循环参数变化规律

    Figure 10.  Cycle parameters of fuel-air heat exchanger vs. turbine inlet temperature and turbine blade temperature limits

    图 11  不同涡轮前温度和涡轮叶片温度的限制水平下高、低压涡轮的循环参数变化

    Figure 11.  Cycle parameters of HPT and LPT vs. turbine inlet temperature and turbine blade temperature limits

    表  1  涡轮导向器和转子级效率损失系数[24]

    Table  1.   Turbine stator and rotor stage efficiency loss factors[24]

    冷却方式对流冷却
    相对流量α
    级效率损失
    导向器
    rV1/rV2
    转子
    rB1/rB2
    先进对流1.00.10.2
    对流和气膜 10.750.120.24
    对流和气膜20.500.150.30
    对流和气膜30.250.180.36
    全气膜00.350.60
    下载: 导出CSV

    表  2  基于CCA技术的VCTF发动机基准设计参数和总体性能参数

    Table  2.   Baseline design and overall performance parameters of the VCTF engine with CCA technology

    基准设计参数数值
    发动机进口空气流量/(kg/s)41
    进气道总压恢复系数0.80
    风扇压比1.40
    风扇涵道比0.94
    高压压气机压比3.60
    高压压气机出口总温/K992.0
    燃油箱出口温度/K380
    燃油箱出口压力/MPa2.6
    燃油-空气换热器
    总压恢复系数
    空气0.97
    燃油0.89
    燃油-空气换热器进口相对引气量δ3/%10.43
    燃油-空气换热器燃油侧出口总温/K526
    燃油-空气换热器空气侧出口总温/K895
    燃油-空气换热器换热效率0.238
    燃烧室出口总温Tt4/K1900
    燃烧室总压恢复系数0.95
    高压涡轮导向器相对引气量δ32/%57
    转子相对引气量δ33/%29
    导向器叶片限制温度TV1/K1338
    转子叶片限制温度TB1/K1338
    修正前(后)等熵效率0.85 (0.842)
    低压涡轮导向器相对引气量δ34/%14
    转子相对引气量δ35/%1.64
    导向器叶片限制温度TV2/K1338
    转子叶片限制温度TB2/K1230
    修正前(后)等熵效率0.87 (0.867)
    净推力Fn/kN11.63
    比冲Isp/s2177
    下载: 导出CSV

    表  3  涡轮叶片冷却计算的输入参数

    Table  3.   Input parameters for turbine blade cooling calculation

    叶片参数高压涡轮低压涡轮
    导向器转子导向器转子
    Mac0.30.30.350.3
    弦长/m0.0360.0450.0580.068
    叶距/m0.0340.0280.0480.037
    叶高/m0.0360.0450.0580.068
    叶片数42513647
    α0.50.50.50.5
    下载: 导出CSV

    表  4  半经验方法与一维方法计算结果对比

    Table  4.   Calculation result comparison between semi-empirical method and one-dimensional method

    方法计算参数导向器转子
    一维方法冷却流因子0.03120.0413
    对流冷却效率0.6320.653
    气膜冷却效率0.3130.308
    相对引气量/%29.001.64
    半经验方法相对引气量/%29.521.69
    下载: 导出CSV

    表  5  循环性能分析选取的不同参数技术水平

    Table  5.   Selection of different parameters technology levels for cycle performance analysis

    参数方案编号
    C1C2C3C4C5
    Tt4/K1900~2200
    TV1/K13381530153015301530
    TB1/K13381338153015301530
    TV2/K13381338133815301530
    TB2/K12301230123013381530
    下载: 导出CSV

    表  6  不采用CCA技术下涡轮材料耐温的水平依次提高对净推力的提升

    Table  6.   Net thrust improvement by increasing turbine material temperature resistant level without CCA technology

    方案净推力提升百分比/%
    C1
    C22.80~3.52
    C32.52~2.60
    C43.41~6.72
    C50.90~2.07
    下载: 导出CSV

    表  7  相同涡轮材料耐温的水平下采用CCA技术对净推力的提升

    Table  7.   Net thrust improvement with CCA technology under same turbine material temperature resistant level

    方案净推力提升百分比/%
    C11.26~1.54
    C21.47~1.56
    C31.06~1.37
    C40.5~1.49
    C50.69~1.40
    下载: 导出CSV
  • [1] 王占学,张明阳,张晓博,等. 变循环涡扇冲压组合发动机发展现状及关键技术分析[J]. 推进技术,2020,41(9): 1921-1934. doi: 10.13675/j.cnki.tjjs.200321

    WANG Zhanxue,ZHANG Mingyang,ZHANG Xiaobo,et al. Development status and key technologies of variable cycle turbofan-ramjet engine[J]. Journal of Propulsion Technology,2020,41(9): 1921-1934. (in Chinese) doi: 10.13675/j.cnki.tjjs.200321
    [2] MARLEY C D, DRISCOLL J F. Modeling an active and passive thermal protection system for a hypersonic vehicle[R]. AIAA 2017-0118, 2017.
    [3] MURTHY N B, CURRAN E T. Developments in high-speed vehicle propulsion systems[M]. Blacksburg, US: AIAA Press, 1996.
    [4] STEPKA F S. Considerations of turbine cooling systems for Mach 3 flight[R]. NASA/TN-1968-D-4491, 1968.
    [5] BERGHOLZ F R, HITCH B D. Thermal management systems for high Mach airbreathing propulsion[R]. AIAA-92-0515, 1992.
    [6] RUED K, EBENHOCH G, MARK H. Thermal management of propulsion systems in hypersonic vehicles[R]. AIAA-92-0516, 1992
    [7] KISHI K, KUNO N, KASHIWAGI T, et al. Exhaust nozzle research in Japanese HYPR program[R]. AIAA-95-2606, 1995.
    [8] KISHI K,JOUBERT H. Research of 2-D variable exhaust nozzle[J]. International Journal of Gas Turbine, Propulsion and Power Systems,2013,5(1): 17-22. doi: 10.38036/jgpp.5.1_17
    [9] BARTOLOTTA P A, MCNELIS N B, SHAFER D G. High speed turbines: development of a turbine accelerator (RTA) for space access[R]. AIAA 2003-6943, 2003.
    [10] BRUENING G B, CHANG W S. Cooled cooling air systems for turbine thermal management[R]. ASME 99-GT-014, 1999.
    [11] SNYDER E L, ESCHER D W. Turbine based combination cycle (TBCC) propulsion subsystem integration[R]. AIAA 2004-3649, 2004.
    [12] GAMBLE E J, HAID D A, D’ALESSANDRO S, et al. Dual-mode scramjet performance model for TBCC simulation[R]. AIAA 2009-5298, 2009.
    [13] GAMBLE E J, HAID D A. Thermal management and fuel system model for TBCC dynamic simulation[R]. AIAA 2010-6642, 2010.
    [14] LOU D C,GUO W,WANG Z G,et al. Integrated thermal management system design for advanced propulsion system[J]. Applied Mechanics and Materials,2012,232: 723-729. doi: 10.4028/www.scientific.net/AMM.232.723
    [15] 刘友宏,李甲珊,唐世建,等. 涡轮冲压组合发动机燃油系统温升仿真研究[J]. 推进技术,2020,41(5): 984-991. doi: 10.13675/j.cnki.tjjs.180594

    LIU Youhong,LI Jiashan,TANG Shijian,et al. Simulation of fuel system temperature rise in turbine based combined cycle engine[J]. Journal of Propulsion Technology,2020,41(5): 984-991. (in Chinese) doi: 10.13675/j.cnki.tjjs.180594
    [16] ITAHARA H, KOHARA S, TAKAGI S, et al. Turbo engine research in Japanese HYPR project for HST combined cycle engine[R]. AIAA-94-3358, 1994.
    [17] HERRING N R. On the development of compact, high performance heat exchangers for gas turbine applications[D]. West Lafayette, US: Purdue University, 2007.
    [18] 沙拉, 塞库利克. 换热器设计技术[M]. 程林, 译. 北京: 机械工业出版社, 2010.
    [19] 张明阳,王占学,张晓博,等. 串联式TBCC发动机风车冲压模态性能模拟[J]. 航空动力学报,2018,33(12): 2939-2949. doi: 10.13224/j.cnki.jasp.2018.12.014

    ZHANG Mingyang,WANG Zhanxue,ZHANG Xiaobo,et al. Simulation of windmilling-ram mode performance for tandem TBCC engine[J]. Journal of Aerospace Power,2018,33(12): 2939-2949. (in Chinese) doi: 10.13224/j.cnki.jasp.2018.12.014
    [20] ZHONG F,FAN X,YU G,et al. Heat transfer of aviation kerosene at supercritical conditions[J]. Journal of Thermophysics and Heat Transfer,2009,23(3): 543-550. doi: 10.2514/1.41619
    [21] HUBER M L. NIST thermophysical properties of hydrocarbon mixtures database (SUPERTRAPP)[M]. Gaithersburg, US: National Institute of Standards and Technology, 2003.
    [22] DENG H W,ZHU K,XU G Q,et al. Isobaric specific heat capacity measurement for kerosene RP-3 in the near-critical and supercritical regions[J]. Journal of Chemical and Engineering Data,2011,57(2): 263-268.
    [23] DENG H W,ZHANG C B,XU G Q,et al. Density measurements of endothermic hydrocarbon fuel at sub- and supercritical conditions[J]. Journal of Chemical and Engineering Data,2011,56(6): 2980-2986. doi: 10.1021/je200258g
    [24] GAUNTNER J W. Algorithm for calculating turbine cooling glow and the resulting decrease in turbine efficiency[R]. NASA/TM-1980-81453, 1980.
    [25] SCHNEIDER S J. Analysis of turbine blade relative cooling flow factor used in the subroutine cool it based on film cooling correlations[R]. NASA/TM-2015-218738, 2015.
    [26] YOUNG J B,WILCOCK R C. Modeling the air-cooled gas turbine: Part 2 coolant flows and losses[J]. Journal of Turbomachinery,2002,124(2): 214-221. doi: 10.1115/1.1415038
    [27] GORDON S, MCBRIDE B J. Computer program for calculation of complex chemical equilibrium compositions and applications[R]. NASA/RP-1994-1311, 1994.
    [28] MASER A C. Optimal allocation of thermodynamic irreversibility for the integrated design of propulsion and thermal management systems[D]. Atlanta, US: Georgia Institute of Technology, 2012.
    [29] 陈敏,唐海龙,朱大明,等. 高超声速串联式组合动力装置方案[J]. 北京航空航天大学学报,2007,33(3): 265-268. doi: 10.3969/j.issn.1001-5965.2007.03.004

    CHEN Min,TANG Hailong,ZHU Daming,et al. Hypersonic combined cycle engine concept with tandem layout[J]. Journal of Beijing University of Aeronautics and Astronautics,2007,33(3): 265-268. (in Chinese) doi: 10.3969/j.issn.1001-5965.2007.03.004
    [30] 特尼格尔, 闻洁, 付衍琛, 等. 细管蛇形管换热器流动与换热特性实验研究[C]// 中国航天第三专业信息网第39届技术交流会暨第3届空天动力联合会议论文集: S05发动机热管理技术. 河南 洛阳: 中国空天动力联合会, 2018: 2-13.
    [31] GREGORY B T. Test results of the Northrop Grumman corporation turbine engine bleed air/fuel heat exchanger after 165 hours of operation with JP-8+100 fuel[R]. AIAA-98-5559, 1998.
    [32] 郑华雷,苏志敏,黄兴,等. 基于多设计点方法的陶瓷基材料涡桨发动机热力循环分析[J]. 推进技术,2021,42(1): 1-9. doi: 10.13675/j.cnki.tjjs.200183

    ZHENG Hualei,SU Zhimin,HUANG Xing,et al. Thermal cycle analysis of turboprop with ceramic matrix composite based on multiple design points approach[J]. Journal of Propulsion Technology,2021,42(1): 1-9. (in Chinese) doi: 10.13675/j.cnki.tjjs.200183
    [33] MATTINGLY J D, HEISER W H, PRATT D T, et al. Aircraft engine design[M]. Blacksburg, US: AIAA Press, 2018.
  • 加载中
图(11) / 表(7)
计量
  • 文章访问数:  764
  • HTML浏览量:  291
  • PDF量:  109
  • 被引次数: 0
出版历程
  • 收稿日期:  2022-07-13
  • 网络出版日期:  2023-03-30

目录

    /

    返回文章
    返回