Seungjong Lee , Reza Molaei , Patricio E. Carrion , Shuai Shao , Nima Shamsaei
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引用次数: 0
Abstract
The rough surface texture of unmachined specimens produced by the laser powder bed fusion (L-PBF) technique can significantly reduce their fatigue strength. Accurate measurement of surface topography is essential for obtaining reliable surface roughness parameters to enable quantitative comparisons and fatigue life estimations. A hybrid surface roughness parameter, previously proposed for uniaxial fatigue scenarios, linking surface texture with the fatigue strength of L-PBF materials, has been adopted to estimate the effect of surface texture on the multiaxial fatigue behavior of L-PBF Ti-6Al-4V alloy. Surface topographies are thoroughly measured using an optical microscope and X-ray computed tomography, and the outcomes of the two techniques are compared. Multiaxial fatigue results are analyzed using three different fatigue models. The surface texture-based fatigue life estimation approach is then combined with these three models to estimate the fatigue strength of different surface texture conditions under multiaxial loading. The results indicate that while the surface texture-based fatigue life estimation approach was originally developed for uniaxial loads, it could be extended to torsion as well as combined axial-torsion stress states. It was also found that the approach works only when the appropriate multiaxial fatigue life estimation model, consistent with the failure mechanism of the material, is utilized.
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.