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Fatigue crack characterisation in 2024-T351 aluminium alloy through SEM observation combined with the CJP model

J.M. Robles, J.M. Vasco‐Olmo, Alejandro S. Cruces, F.A. Díaz, M.N. James, Pablo Lopez‐Crespo

2022International Journal of Fatigue17 citationsDOIOpen Access PDF

Abstract

This work characterises crack growth in AA2024-T315 by combining different methods to further increase the reliability of the results. The Christopher-James-Patterson (CJP) model was fitted to experimental data obtained by digital image correlation (DIC). The effective value of the CJP stress intensity factors were successfully correlated with the ΔK-da/dN curve as obtained with Scanning Electron Microscopy measurements of the depth of striations on the fracture surface. This approach based on fitting the CJP model with DIC data and SEM observations allowed estimation of opening and closure loads and allowed the propagation rate and fracture mode to be effectively characterised.

Topics & Concepts

Fracture (geology)AluminiumReliability (semiconductor)Scanning electron microscopeMaterials scienceAlloyAluminium alloyDigital image correlationComposite materialMathematicsPhysicsThermodynamicsPower (physics)Fatigue and fracture mechanicsNon-Destructive Testing TechniquesAluminum Alloy Microstructure Properties
Fatigue crack characterisation in 2024-T351 aluminium alloy through SEM observation combined with the CJP model | Litcius