Dongdong Ji , Haodong Chen , Jiwang Zhang , Kaixin Su , Xingyu Chen
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引用次数: 0
Abstract
Ti-6Al-4V alloy is subjected to complex environmental conditions, often requiring enhanced fatigue performance in engineering applications. This study provides a comparative analysis of the effects of micro-shot peening (MSP) and traditional shot peening (TSP) on the fatigue performance of Ti-6Al-4V alloy. The results indicate that TSP specimens develop a work-hardened layer with high hardness and elevated compressive residual stress (CRS) on the surface, whereas MSP specimens exhibit lower surface roughness and a grain refinement layer with a higher degree of refinement and more uniform grain distribution. Fatigue testing revealed that, compared to unpeened (UP) specimens, the fatigue strength of MSP and TSP specimens increased by 42 % and 17 %, respectively, after 2 × 107 loading cycles. Shot peening modified the fracture mechanisms of the titanium alloy, introducing a critical stress below which crack initiation shifts from the surface to the subsurface. MSP specimens demonstrated a higher critical stress, resulting in significantly longer fatigue life compared to TSP specimens.
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.