Pierre Osmond , Daniel Bellett , Viet Duc Le , Franck Morel
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引用次数: 0
Abstract
The objective of this work is to evaluate the influence of over-ageing on the high cycle fatigue behaviour of the AlSi7Cu0.5Mg0.3 cast aluminium alloy. It is generally accepted that over-ageing has a large influence on the behaviour of these materials, however its effect on the fatigue strength is less understood. This work provides an experimental investigation of the effect of over-ageing on high cycle fatigue strength in both tensile and torsional loading conditions. It is shown that the torsional fatigue strength is more sensitive to over-ageing when compared to the tensile fatigue strength and that the fatigue defect sensitivity is negligible for torsional loads, in contrast to tensile loading conditions. The experimental results indicate that this is due to a change in the crack initiation mechanism, going from initiation in the matrix for torsion loads to initiation from casting defects for tensile loads. An original two-steps approach is proposed to rationalise the effect of over-ageing on the fatigue strength, with particular emphasis on decoupling the respective contributions from defects and the mechanical properties. This approach is used to build normalised Kitagawa-Takahashi diagrams that highlights the reduced defect sensitivity under tensile loads for the most severe over-ageing condition.
期刊介绍:
Typical subjects discussed in International Journal of Fatigue address:
Novel fatigue testing and characterization methods (new kinds of fatigue tests, critical evaluation of existing methods, in situ measurement of fatigue degradation, non-contact field measurements)
Multiaxial fatigue and complex loading effects of materials and structures, exploring state-of-the-art concepts in degradation under cyclic loading
Fatigue in the very high cycle regime, including failure mode transitions from surface to subsurface, effects of surface treatment, processing, and loading conditions
Modeling (including degradation processes and related driving forces, multiscale/multi-resolution methods, computational hierarchical and concurrent methods for coupled component and material responses, novel methods for notch root analysis, fracture mechanics, damage mechanics, crack growth kinetics, life prediction and durability, and prediction of stochastic fatigue behavior reflecting microstructure and service conditions)
Models for early stages of fatigue crack formation and growth that explicitly consider microstructure and relevant materials science aspects
Understanding the influence or manufacturing and processing route on fatigue degradation, and embedding this understanding in more predictive schemes for mitigation and design against fatigue
Prognosis and damage state awareness (including sensors, monitoring, methodology, interactive control, accelerated methods, data interpretation)
Applications of technologies associated with fatigue and their implications for structural integrity and reliability. This includes issues related to design, operation and maintenance, i.e., life cycle engineering
Smart materials and structures that can sense and mitigate fatigue degradation
Fatigue of devices and structures at small scales, including effects of process route and surfaces/interfaces.