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

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.The authors would like to acknowledge the financial support of Programa Operativo FEDER from the Junta de Andalucia (Spain) through grant reference UMA18-FEDERJA-250. Industrial support from Bettergy SL and from Dr N Ordonez and M Carrera is also greatly acknowledged, as well as access to different components and materials in the energy industry. The authors would also like to acknowledge the financial support from Junta de Andalucia through the research project “1380786” funded by the program “Proyectos de I + D + I en el Marco del Programa Operativo FEDER Andalucia 2014-2020. Convocatoria 2020.” We would also like to acknowledge funding for open access charge: Universidad de Malaga / CBU

    Similar works