Jiwei Geng , Qian Wang , Yugang Li , Feifei Wang , Peikang Xia , Huanhuan Sun , Mingliang Wang , Dong Chen , Haowei Wang
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引用次数: 0
Abstract
The large-strain controlled low-cycle fatigue (LCF) damage of particle-reinforced aluminum matrix composite was first studied, considering particle interfaces and slip bands. It is found that the LCF damage behavior of the composite was dominated by the mutual effects between soft matrix and hard particles. Local deformation mainly concentrated at the T-Al20Cu2Mn3 dispersoids with larger aspect ratio, secondary phases and aligned TiB2 particles due to local plastic incompatibility and stress concentration. These features are the main source of LCF damage and exhibit are strain amplitude dependence. At low strain amplitudes (< 0.8 %), the cyclic deformation is dominated by elastic strain. The crack initiation is greatly related to secondary phase cracking. At high strain amplitudes (≥ 0.8 %), the slip bands are prevalent in the matrix and the damage behavior of the composite is controlled by cyclic plastic deformation. The strengthening layer is generally formed around TiB2 particles due to the formation of strain gradient at TiB2-Al interface, which increase the cracking resistance of TiB2-Al interface and depend on strain amplitudes. The correlative cyclic damage models were established based on microstructure evolution.
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.