Crack arrest analysis of components with compressive residual stress
Xiao, Xuran and Okorokov, Volodymyr and MacKenzie, Donald (2024) Crack arrest analysis of components with compressive residual stress. Fatigue and Fracture of Engineering Materials and Structures. ISSN 8756-758X (In Press) (https://doi.org/10.1111/ffe.14539)
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Abstract
A finite element analysis and fracture mechanics methodology for determining the autofrettage pressure required to cause crack arrest in components under varying pressure loading is presented. Superposition of the autofrettage residual stress distribution and working load stress distribution is combined with ANSYS Separating Morphing and Adaptive Remeshing Technology (SMART) to determine the effective stress intensity factor as the crack grows. The condition for crack arrest is identified by comparison with a crack arrest model defining the crack propagation threshold stress intensity factor range for microstructurally short, physically short, and long cracks. The crack propagation threshold models of El Haddad and Chapetti are implemented and applied to fatigue analysis of stainless steel and low carbon steel double notch tensile test specimens with pre-induced compressive residual stress. Based on comparison with fatigue test results, the Chapetti model is selected for use in analysis of a 3D aluminium alloy valve body. The calculated minimum autofrettage pressure required to give crack arrest under a given working load cycle is found to be in good agreement with experimental observations from the literature.
ORCID iDs
Xiao, Xuran ORCID: https://orcid.org/0000-0002-8468-5072, Okorokov, Volodymyr and MacKenzie, Donald ORCID: https://orcid.org/0000-0002-1824-1684;-
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Item type: Article ID code: 91542 Dates: DateEvent1 December 2024Published1 December 2024AcceptedSubjects: Technology > Mechanical engineering and machinery Department: Faculty of Engineering > Mechanical and Aerospace Engineering
Strategic Research Themes > Ocean, Air and SpaceDepositing user: Pure Administrator Date deposited: 12 Dec 2024 15:47 Last modified: 12 Dec 2024 15:47 URI: https://strathprints.strath.ac.uk/id/eprint/91542