Experimental study and life prediction for aero-engine turbine blade considering creep-fatigue interaction effect

被引:5
|
作者
Sun, Debin [1 ]
Wan, Zhenhua [2 ]
机构
[1] Shandong Univ Aeronaut, Sch Aeronaut Engn, 391 Huanghe 5th Rd, Binzhou 256600, Shandong, Peoples R China
[2] Guangxi Univ, Sch Mech Engn, 100 Daxue East Rd, Nanning 530004, Guangxi, Peoples R China
关键词
Turbine blade; Creep-fatigue; Interaction effect; Fracture morphology; Life prediction;
D O I
10.1016/j.engfracmech.2024.110507
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
As an important failure form of the turbine blade, creep-fatigue interaction damage affects the safe operation and maintenance strategy of aero-engine, and has been the focus of scientific research and the academic community. Firstly, based on the Kachanov-Rabotnov-Lemaitre continuum damage mechanics theory and the nonlinear symmetry of creep damage and fatigue damage, a creep-fatigue life prediction model is constructed considering the interaction effect in this paper. Then, based on the thermal-fluid-solid multi-physical field coupling numerical simulation of the turbine blade, the equivalent method of creep-fatigue load spectrum was explored according to the equal damage criterion and linear damage rule, and the creep-fatigue interaction test of smooth samples of the blade material was conducted to analyze the creepfatigue fracture morphology. Finally, the stress term in the creep-fatigue life prediction model of blade material is modified by the correction factor alpha, and the modified creep-fatigue life prediction model of the turbine blade is constructed considering the interaction effect. The results show that the modified creep-fatigue life prediction model considering the interaction effect has a high life prediction ability with an error of 3.9%. The above research has important scientific research value for the life extension design of turbine blades and the improvement of aero-engine maintenance strategy.
引用
收藏
页数:18
相关论文
共 50 条
  • [41] Characterization of the cavity nucleation factor for life prediction under creep-fatigue interaction
    Choi, BG
    Nam, SW
    Yoon, YC
    Kim, JJ
    JOURNAL OF MATERIALS SCIENCE, 1996, 31 (18) : 4957 - 4966
  • [42] Characterization of the cavity nucleation factor for life prediction under creep-fatigue interaction
    Korea Advanced Inst of Science and, Technology, Taejon, Korea, Republic of
    J Mater Sci, 18 (4957-4966):
  • [43] A STUDY ON THE EFFECT OF BIRD HIT DAMAGE ON THE DYNAMIC RESPONSE OF AERO-ENGINE FAN BLADE
    Channegowda, Hithesh
    Prakash, Raghu V.
    Kaliyaperumal, Anandavel
    PROCEEDINGS OF THE ASME INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, 2013, VOL 1, 2014,
  • [44] Creep-fatigue behavior analysis of the 310 NBN steel: Experimental and life prediction
    Garcia, Julianna Magalhaes
    Potirniche, Gabriel P.
    Stephens, Robert
    Monteiro, Sergio Neves
    Brandao, Luiz Paulo
    JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T, 2024, 33 : 4303 - 4312
  • [45] Study on fatigue damage of aero-engine blade based on non-linear continuum damage model
    Lin J.
    Zhang J.
    Zhang G.
    Yang S.
    Gao H.
    Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2010, 46 (18): : 66 - 70
  • [46] A study of creep-fatigue life prediction using an artificial neural network
    Kwon, Young Il
    Lim, Byeong Soo
    2001, Korean Institute of Metals and Materials (07):
  • [47] A study of creep-fatigue life prediction using an artificial neural network
    Kwon, YI
    Lim, BS
    METALS AND MATERIALS INTERNATIONAL, 2001, 7 (04): : 311 - 317
  • [48] A study of creep-fatigue life prediction using an artificial neural network
    Young Il Kwon
    Byeong Soo Lim
    Metals and Materials International, 2001, 7 : 311 - 317
  • [49] MULTIAXIAL CREEP-FATIGUE LIFE PREDICTION ON THE ROTOR OF A 1000MW SUPERCRITICAL STEAM TURBINE
    Mao, Jianfeng
    WANG, Weizhe
    Liu, Yingzheng
    Zhang, Junhui
    PROCEEDINGS OF THE ASME TURBO EXPO 2012, VOL 7, PTS A AND B, 2012, : 277 - +
  • [50] Fatigue life prediction of aero-engine compressor disk based on a new stress field intensity approach
    Zhao, Bingfeng
    Xie, Liyang
    Song, Jiaxin
    Ren, Jungang
    Wang, Bowen
    Zhang, Shijian
    INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES, 2020, 165