Volume 34, Issue 10 pp. 745-773

Driving forces for localized corrosion-to-fatigue crack transition in Al–Zn–Mg–Cu

J. T. BURNS

J. T. BURNS

Air Force Research Laboratory Materials and Manufacturing Directorate (AFRL/RX), Wright-Patterson Air Force Base, OH 45433, USA

Department of Materials Science and Engineering, University of Virginia, Charlottesville, VA 22904, USA

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J. M. LARSEN

J. M. LARSEN

Air Force Research Laboratory Materials and Manufacturing Directorate (AFRL/RX), Wright-Patterson Air Force Base, OH 45433, USA

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R. P. GANGLOFF

R. P. GANGLOFF

Department of Materials Science and Engineering, University of Virginia, Charlottesville, VA 22904, USA

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First published: 30 May 2011
Citations: 93
James T. Burns. Email: [email protected]

ABSTRACT

Research on fatigue crack formation from a corroded 7075-T651 surface provides insight into the governing mechanical driving forces at microstructure-scale lengths that are intermediate between safe life and damage tolerant feature sizes. Crack surface marker-bands accurately quantify cycles (Ni) to form a 10–20 μm fatigue crack emanating from both an isolated pit perimeter and EXCO corroded surface. The Ni decreases with increasing-applied stress. Fatigue crack formation involves a complex interaction of elastic stress concentration due to three-dimensional pit macro-topography coupled with local micro-topographic plastic strain concentration, further enhanced by microstructure (particularly sub-surface constituents). These driving force interactions lead to high variability in cycles to form a fatigue crack, but from an engineering perspective, a broadly corroded surface should contain an extreme group of features that are likely to drive the portion of life to form a crack to near 0. At low-applied stresses, crack formation can constitute a significant portion of life, which is predicted by coupling macro-pit and micro-feature elastic–plastic stress/strain concentrations from finite element analysis with empirical low-cycle fatigue life models. The presented experimental results provide a foundation to validate next-generation crack formation models and prognosis methods.

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