Volume 37 Issue 5
May  2022
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YOU Yu, XU Jian, YAN Qun, ZHANG Wei, GUO Dingwen, HUANG Taiyu. Combined fatigue life prediction and experiment verification for turbine blade[J]. Journal of Aerospace Power, 2022, 37(5): 946-953. doi: 10.13224/j.cnki.jasp.20210019
Citation: YOU Yu, XU Jian, YAN Qun, ZHANG Wei, GUO Dingwen, HUANG Taiyu. Combined fatigue life prediction and experiment verification for turbine blade[J]. Journal of Aerospace Power, 2022, 37(5): 946-953. doi: 10.13224/j.cnki.jasp.20210019

Combined fatigue life prediction and experiment verification for turbine blade

doi: 10.13224/j.cnki.jasp.20210019
  • Received Date: 2021-01-14
  • Publish Date: 2022-05-28
  • In order to solve the fatigue strength problems of turbine rotor blade under the combined loads of temperature,centrifugal force and aerodynamic/acoustic,the decomposition method of a high-low cycle complex load spectrum and the full-time domain creep damage cumulative model based on the high-low cycle complex load were investigated.The combined fatigue life prediction method considering simultaneously the fatigue damage of creep,low cycle and high cycle was proposed.Meanwhile,the high-low cycle complex fatigue experiment platform was developed through application of the critical technologies,such as orthogonal loads decoupling and coordinated loading control of the complex load.Finally,taking a simulation specimen of a turbine blade as the research object,the combined fatigue life prediction and experiment verification were accomplished.Results showed that the scatter factor of experiment result of combined fatigue life was 1.01,and the deviation between the prediction result and the experiment result was less than 24%.The validity of fatigue life prediction model was verified,providing an effective technical approach to fatigue strength design and validation for aero-engine hot-end components.

     

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  • [1]
    陶春虎,钟培道,王仁智,等.航空发动机转动部件的失效与预防[M].北京:国防工业出版社,2008.
    [2]
    王红,左华付,何训,等.某型航空发动机第三级涡轮叶片失效分析[J].失效分析与预防,2007,2(1):24-28.
    [3]
    COWLES B A.High cycle fatigue in aircraft gas turbines-an industry perspective[J].International Journal of fracture,1996,80(2):147-163.
    [4]
    WESER S,GAMPE U,RADDATZ M,et al.Advanced experimental and analytical investigations on combined cycle fatigue (CCF) of conventional cast and single-crystal gas turbine blades[R].ASME Paper GT2011-45171,2011.
    [5]
    陈立杰,冶铁强,谢里阳.涡轮叶片蠕变-疲劳交互作用下寿命预测方法综述[J].航空制造技术,2004,47(12):61-64,84.
    [6]
    高靖云,张成成,侯乃先,等.考虑应力松弛的单晶涡轮叶片蠕变疲劳寿命预测[J].航空动力学报,2016,31(3):539-547.
    [7]
    ROGGE T,BERGER R,POHLE L,et al.Efficient structural analysis of gas turbine blades[J].Aircraft Engineering and Aerospace Technology,2016,90(9):1305-1316.
    [8]
    李骏,宋友辉,刘汉斌,等.涡轮叶片-榫头-轮盘的蠕变与低循环疲劳寿命预测[J].推进技术,2015,36(11):1699-1704.
    [9]
    ZHU Shunpeng,YUE Peng,YU Zhengyong.A combined high and low cycle fatigue model for life prediction of turbine blades[J].Materials,2017,10(7):698-712.
    [10]
    HOU N X,WEN Z X,YU Q M,et al.Application of a combined high and low cycle fatigue life model on life prediction of SC blade[J].International Journal of Fatigue,2009,31(4):616-619.
    [11]
    ZHENG X,ENGLER-PINTOJr .C C,SU X,et al.Modeling of fatigue damage under superimposed high-cycle and low-cycle fatigue loading for a cast aluminum alloy[J].Materials Science and Engineering A,2013,560(10):792-801.
    [12]
    HAN Lei,HUANG Dawei,YAN Xiaojun,et al.Combined high and low cycle fatigue life prediction model based on damage mechanics and its application in determining the aluminized location of turbine blade[J].International Journal of Fatigue,2019,127(5):120-130.
    [13]
    彭立强,王健.涡轮叶片高温多轴低周疲劳/蠕变寿命研究[J].航空动力学报,2009,24(7):1549-1555.
    [14]
    HU Dianyin,WANG Rongqiao.Combined fatigue experiments on full scale turbine components[J].Aircraft Engineering and Aerospace Technology,2013,385(1):4-9.
    [15]
    SHI D,LI Z,YANG X.Accelerated LCF-creep experimental methodology for durability life evaluation of turbine blade[J].Fatigue & Fracture of Engineering Materials & Structures,2018,41(5):1196-1207.
    [16]
    THIELE M,WESER S,GAMPE U,et al.Advancement of experimental methods and cailletaud material model for life prediction of gas turbine blades exposed to combined cycle fatigue[R].ASME Paper GT2012-68452,2012.
    [17]
    侯静泳,蔡肇云,屠一鹤.TC-11钛合金高低周复合疲劳及损伤累积研究[J].航空动力学报,1992,7(2):135-138.
    [18]
    《中国航空材料手册》编委会.中国航空材料手册:第2卷[M].北京:中国标准出版社,2001.
    [19]
    由于,张伟,燕群,等.基于高低周复合疲劳试验技术的叶片失效故障复现[J].推进技术,2020,41(5):1130-1137.
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