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Fatigue strength prediction of TC4 titanium alloy following foreign object damage based on contour feature

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Abstract

Foreign object damage (FOD) is a common accident that happens in aeroengines, especially in fan and compressor blades. Accurate prediction of the fatigue strength of the fan/compressor blade materials following FOD is important for the repair and maintenance of aeroengines. This paper was based on the experiment part of Ref. [13], and fatigue strength prediction of TC4 alloy following simulated FOD was carried out by the theory of critical distances (TCD). The FOD notch bottom morphology was characterized by structured light scanning, and a superimposed notch model containing the characteristic of FOD contour was proposed for fatigue prediction. The results show that the prediction based on the FOD macro size overrates the fatigue strength. This overrated prediction is mainly caused by ignorance of the irregular local defects at the FOD notch bottom. By taking the local defects into consideration, the superimposed notch model can effectively improve the prediction accuracy of fatigue strength, and the relative error is within ±30 %.

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Abbreviations

a :

Radius scale parameter

b :

Depth scale parameter

D FOD :

FOD notch depth

D PM :

Critical distances in point method

H macro :

Macro notch depth

H minor :

Minor notch relative depth

L FOD :

FOD notch length

N :

Fatigue life

r p :

Local defect radius in profile

R :

Stress ratio

R 0 :

Notch bottom radius

R FOD :

FOD notch radius

R macro :

Macro notch radius

R minor :

Minor notch radius

R p :

Marco notch radius in profile

σ exp :

Experiment fatigue strength

σ pre :

Predicted fatigue strength

θ :

Hard object impact angle

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Acknowledgments

This work was supported by the National Natural Science Foundation of China (No. 51105198). Structured-light scanning technology support in the Shanghai Zhixi 3D Technology, Co. Ltd. is also gratefully acknowledged.

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Authors and Affiliations

  1. Key Laboratory of Thermal Environment and Thermal Structure of Aeroengine in Ministry of Industry and Information Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China

    X. T. Hu, Y. W. Wan, R. Jiang & Y. D. Song

  2. State Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing, China

    Y. D. Song

Authors
  1. X. T. Hu
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  2. Y. W. Wan
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  3. R. Jiang
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  4. Y. D. Song
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Corresponding author

Correspondence to Y. W. Wan.

Additional information

Recommended by Associate Editor Zhuhua Tan

X. T. Hu is currently a Lecturer in the College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, China. His research interests mainly include mechanical behavior of materials: Deformation, fracture and fatigue, strength analysis and life prediction method of mechanical structures.

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Hu, X.T., Wan, Y.W., Jiang, R. et al. Fatigue strength prediction of TC4 titanium alloy following foreign object damage based on contour feature. J Mech Sci Technol 33, 4727–4734 (2019). https://doi.org/10.1007/s12206-019-0819-7

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  • DOI: https://doi.org/10.1007/s12206-019-0819-7

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