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The relationship between surface roughness and fatigue crack growth rate in AA7050-T7451 subjected to periodic underloads

journal contribution
posted on 2024-11-02, 22:12 authored by Isaac Field, Benjamin Dixon, Everson KandareEverson Kandare, Jie Tian, Simon BarterSimon Barter
The accurate prediction of fatigue crack growth rates is necessary to assist with optimising the design, maintenance, and availability of aircraft structures. Roughness induced crack closure is considered by many researchers as an important factor that can impact these growth rates. It has also been suggested that crack closure may be the governing factor behind the accelerative effects of underloads. As such, the focus of this study is on better understanding what correlation there is between the known accelerative effects of underloads, and the local fracture surface roughness of fatigue cracks. Here, specially designed loading spectra are used to quantify the effects of underloads on local fatigue crack growth. Photogrammetry is then used to quantify surface roughness local to the application of the underloads, in order to explore any potential relationship between observed crack growth acceleration and local crack surface roughness. In addition, a general fractographic analysis of the fatigue fracture surface was conducted to understand what correlation there may be between any observed features and the fatigue crack growth rate. It is found that there is little correlation between small-scale surface roughness and the observed acceleration from underloads. However, these is some evidence that large out-of-plane features, such as river patterns, correspond with changes in crack growth rate.

History

Related Materials

  1. 1.
    DOI - Is published in 10.1016/j.ijfatigue.2022.107355
  2. 2.
    ISSN - Is published in 01421123

Journal

International Journal of Fatigue

Volume

167

Number

107355

Start page

1

End page

10

Total pages

10

Publisher

Elsevier

Place published

United Kingdom

Language

English

Copyright

© 2022 Elsevier Ltd. All rights reserved.

Former Identifier

2006119869

Esploro creation date

2023-09-24

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