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Prediction of short fatigue crack growth of Ti-6Al-4V

  • K. Wang
  • , F. Wang
  • , W. Cui
  • , T. Hayat
  • , B. Ahmad
  • Shanghai Jiao Tong University
  • Jiangsu University of Science and Technology
  • Shanghai Ocean University
  • Faculty of Sciences, King Abdulaziz University
  • Quaid-I-Azam University

Research output: Contribution to journalArticlepeer-review

74 Scopus citations

Abstract

It is observed that the short fatigue cracks grow faster than long fatigue cracks at the same nominal driving force and even grow at stress intensity factor range below the threshold value for long cracks in titanium alloy materials. The anomalous behaviours of short cracks have a great influence on the accurate fatigue life prediction of submersible pressure hulls. Based on the unified fatigue life prediction method developed in the authors' group, a modified model for short crack propagation is proposed in this paper. The elastic-plastic behaviour of short cracks in the vicinity of crack tips is considered in the modified model. The model shows that the rate of crack propagation for very short cracks is determined by the range of cyclic stress rather than the range of the stress intensity factor controlling the long crack propagation and the threshold stress intensity factor range of short fatigue cracks is a function of crack length. The proposed model is used to calculate short crack propagation rate of different titanium alloys. The short crack propagation rates of Ti-6Al-4V and its corresponding fatigue lives are predicted under different stress ratios and different stress levels. The model is validated by comparing model prediction results with the experimental data.

Original languageEnglish
Pages (from-to)1075-1086
Number of pages12
JournalFatigue and Fracture of Engineering Materials and Structures
Volume37
Issue number10
DOIs
StatePublished - 2014
Externally publishedYes

Keywords

  • crack propagation threshold
  • fatigue crack propagation rate
  • short fatigue cracks
  • titanium alloy
  • unified fatigue life prediction method

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