Volume 37 Issue 6
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YANG Yunjia, CHEN Haixin, XU Ling. Calculation method of cooling air distribution in nozzle based on fluid network analysis method[J]. Journal of Aerospace Power, 2022, 37(6): 1181-1194. doi: 10.13224/j.cnki.jasp.20210027
Citation: YANG Yunjia, CHEN Haixin, XU Ling. Calculation method of cooling air distribution in nozzle based on fluid network analysis method[J]. Journal of Aerospace Power, 2022, 37(6): 1181-1194. doi: 10.13224/j.cnki.jasp.20210027
shu

Calculation method of cooling air distribution in nozzle based on fluid network analysis method

doi: 10.13224/j.cnki.jasp.20210027
  • 1.

    School of Aerospace Engineering，Tsinghua University，Beijing 100084，China

  • 2.

    Shenyang Engine Research Institute，Aero Engine Corporation of China，Shenyang 110015，China

  • Received Date: 2021-01-18
  • Publish Date: 2022-06-28
    Abstract
  • The fluid network analysis method has its unique advantages in nozzle film cooling problems，but it cannot predict the influence of inlet/outlet flow on the static pressure change along cooling air channel.In order to solve this problem，a type of element that can describe the static pressure change caused by inlet/outlet flow was introduced，and the variation of static pressure was quantified based on the lag angle of velocity at hole entrance.Results on verification examples showed that the improved method can correctly capture the static pressure trend along the cooling air channel and reduced the calculation error of cooling air distribution to less than 0.5%.The improved fluid network analysis method was coupled with computational fluid dynamics simulation of mainstream，and used to analyze cooling air distribution in nozzle.Compared with computational fluid dynamics simulation for whole system，the method had very low computation cost，meanwhile the difference between two methods was less than 1.2%.The application in the design of a nozzle showed that the method reflected the influence of cooling structure changes on cooling air distribution effectively.

     

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    • References(24)
  • [1]
    卢浩浩，吉洪湖，王丁，等.部件冷却对二元俯仰矢量排气系统红外特征抑制实验[J].航空动力学报,2017，32（9）:2070-2079.
    [2]
    额日其太,王志杰,吴寿生.高速热喷流条件下二元收扩喷管扩张段壁面冷却的初步试验研究[J].航空动力学报,2002,17（1）:40-44.
    [3]
    饶宇,刘宇阳,万超一.具有气膜出流孔和针肋的双层壁冷却结构内的冲击传热性能[J].航空学报,2018,39（1）:99-107.
    [4]
    EL-JUMMAH A M,ANDREWS G E,STAGGS J E.Impingement/effusion cooling wall heat transfer:conjugate heat transfer computational fluid dynamic predictions[R].Seoul,Korea:ASME Turbo Expo 2016:Turbomachinery Technical Conference and Exposition,2016.
    [5]
    杨成凤,张靖周,杨卫华.全覆盖气膜孔阵列方式对冷却特性的影响[J].航空动力学报,2010,25（7）:1524-1529.
    [6]
    KREWINKEL R.A review of gas turbine effusion cooling studies[J].International Journal of Heat and Mass Transfer,2013,66:706-722.
    [7]
    MENDEZ S,NICOUD F,POINSOT T.Large-eddy simulation of a turbulent flow around a multi-perforated plate[M]∥Kassinos S,Langer C,Iaccarino G,et al.Complex effects in large eddy simulations.Berlin,Germany:Springer,2007.
    [8]
    MENDEZ S,NICOUD F.Large-eddy simulation of a bi-periodic turbulent flow with effusion[J].Journal of Fluid Mechanics,2008,598:27-65.
    [9]
    MEITNER P L.Computer code for predicting coolant flow and heat transfer in turbomachinery[M].Cleveland,US:Diane Publishing,1990.
    [10]
    KUTZ K J,SPEER T M.Simulation of the secondary air system of aero engines[J].Journal of Turbomachinery,1994,116（2）:306-315.
    [11]
    MAJUMDAR A K,LECLAIR A,MOORE R,et al.Generalized fluid system simulation program （GFSSP）:version 6[R].Orlando,US:51st AIAA/SAE/ASEE Joint Propulsion Conference,2015.
    [12]
    BONINI A,ANDREINI A,CARCASCI C,et al.Conjugate heat transfer calculations on GT rotor blade for industrial applications:Part Ⅰ equivalent internal fluid network setup and procedure description[C]∥Proceedings of ASME Turbo Expo 2012:Turbomachinery Technical Conference and Exposition Digital Collection.Copenhagen,Denmark:ASME,2012:669-679.
    [13]
    陶智,侯升平,韩树军,等.流体网络法在发动机空气冷却系统设计中的应用[J].航空动力学报,2009,24（1）:1-6.
    [14]
    CHI Z,WANG S,REN J,et al.Multi-dimensional platform for cooling design of air-cooled turbine blades[C]∥Proceedings of ASME Turbo Expo 2012:Turbomachinery Technical Conference and Exposition Digital Collection.Copenhagen,Denmark:ASME,2012:207-218.
    [15]
    刘维.管道网络法在涡轮叶片传热设计中的应用研究[D].哈尔滨:哈尔滨工业大学,2014.
    [16]
    刘维,温风波,罗磊,等.考虑涡轮传热性能的气动设计耦合计算方法研究[J].推进技术,2018,39（11）:2463-2471.
    [17]
    史亮,孙彦博,韩万金,等.管网方法在双层壁冷却结构设计中的应用[J].哈尔滨工业大学学报,2017,49（7）:78-85.
    [18]
    田勇,季路成,邵卫卫,等.冷却涡轮定常/非定常流场的内外耦合快速计算方法[J].航空动力学报,2015,30（10）:2462-2471.
    [19]
    LI C,LIU J J.A one-dimensional analytical method for turbine blade preliminary cooling design[R].Seoul,Korea:ASME Turbo Expo 2016:Turbomachinery Technical Conference and Exposition,2016.
    [20]
    CHOWDHURY N H K,ZIRAKZADEH H,HAN J C.A predictive model for preliminary gas turbine blade cooling analysis[J].Journal of Turbomachinery,2017,139（9）:091010.1-091010.12.
    [21]
    陶文铨.传热学[M].4版.北京:高等教育出版社,2006:216-217.
    [22]
    曹玉璋.航空发动机传热学[M].北京:北京航空航天大学出版社,2005:162-163.
    [23]
    FLORSCHUETZ L W ,ISODA Y.Flow distributions and discharge coefficient effects for jet array impingement with initial crossflow[J].Journal of Engineering for Gas Turbines and Power,1983,105（2）:296-304.
    [24]
    陈四杰.收扩喷管扩张段气膜冷却特性研究[D].南京:南京航空航天大学,2014.
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