Stefan B. Lindström, Johan Moverare, Manja Franke, Johan Persson, Daniel Leidermark, Carl-Johan Thore, Thomas Lindström, Zlatan Kapidžić
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引用次数: 0
Abstract
This study evaluates the Ottosen–Stenström–Ristinmaa (OSR) incremental fatigue damage model for predicting fatigue life in powder bed fusion with laser beam (PBF-LB) Ti6Al4V notched specimens. To fit the OSR model, we conduct constant-amplitude tension-compression fatigue tests on PBF-LB Ti6Al4V specimens with as-built surface. Our results highlight a relatively low scatter in fatigue life data for PBF-LB Ti6Al4V across different studies, a critical factor for reliable design against fatigue failure. The study suggests that the stress gradient effect is influenced by the as-built surface, which carries load differently from the target build geometry due to surface undulations. The OSR model effectively captures the characteristics of Wöhler curves for various notch geometries and stress ratios. We validate the OSR model with out-of-phase tension-torsion tests, demonstrating that it provides safe fatigue life predictions for nonproportional loads. Overall, our findings show that the OSR model offers conservative fatigue life predictions for PBF-LB Ti6Al4V, underscoring its practical utility and reinforcing the suitability of PBF-LB Ti6Al4V for aircraft applications.
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.