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航空发动机叶片Tc4材料的非线性累积损伤及可靠度研究
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东北大学 机械工程与自动化学院,东北大学 机械工程与自动化学院,东北大学 机械工程与自动化学院

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中图分类号:

TG146.4

基金项目:

国家自然科学基金资助(项目号51275081),国家自然科学基金资助(项目号51135003)


Nonlinear Accumulated Damage and Reliability Research of Tc4 Material Used in Aero-engine Blades
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Affiliation:

School of Mechanical Engineering Automation,Northeastern University,Shenyang,School of Mechanical Engineering Automation,Northeastern University,Shenyang,School of Mechanical Engineering Automation,Northeastern University,Shenyang

Fund Project:

Natural Science Foundation of China(No.51275081 51335003)

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    摘要:

    以轴向拉压疲劳试验统计航空发动机叶片Tc4材料在不同应力比下的损伤及寿命分布,针对线性损伤模型的不足,基于Chaboche非线性损伤模型和第四强度理论,提出叶片Tc4材料的非线性损伤演化方程,并引入W?hler 曲线和BP神经网络计算结果进行比较。以压气机叶片在最大连续工作状态下流场仿真计算结果为依据,计算出叶片应力时间历程。基于应力强度干涉模型,从能量耗散角度描述Tc4材料的剩余强度模型结合泊松随机过程,完成航空发动机压气机叶片在最大连续工作状态下的可靠度预测。

    Abstract:

    To determine the damage and life distribution of Tc4 material used in aero-engine blades under different stress ratio, axial tension and compression fatigue test is conducted. Nonlinear damage evolution equation is put forward for Tc4 material based on Chaboche nonlinear damage model and the fourth strength theory. Computation results are compared with W?hler curve and BP neural network model. According to the simulation and calculation results of the flow field of compressor blades in the maximum continuous working condition, the stress-time history for blades is calculated. From the viewpoint of energy dissipation, the residual strength model of Tc4 material is described based on stress strength interference. Combined with Poisson stochastic process, reliability prediction of the aero-engine’s compressor blades at maximum continuous working condition is accomplished.

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李炳强,马辉,杨文军.航空发动机叶片Tc4材料的非线性累积损伤及可靠度研究[J].稀有金属材料与工程,2018,47(1):113~118.[Li Bing-qiang, Hui Ma, Yang Wen-jun. Nonlinear Accumulated Damage and Reliability Research of Tc4 Material Used in Aero-engine Blades[J]. Rare Metal Materials and Engineering,2018,47(1):113~118.]
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  • 收稿日期:2015-10-16
  • 最后修改日期:2016-10-02
  • 录用日期:2016-10-18
  • 在线发布日期: 2018-02-07
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