Yanyun Sun , Huarui Zhang , Fuwei Wang , Shoubin Zhang , Rui Zhang , Junpin Lin , Ying Cheng , Hu Zhang
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引用次数: 0
Abstract
This study quantified the relationship between the microstructural characteristics and the fatigue life of the IN713C alloy turbocharger turbines prepared using centrifugal investment casting. The samples were obtained directly from the components for fatigue testing experiments to reveal the fatigue fracture mechanisms of different microstructures. The results showed that fatigue cracks at the root of centrifugal casting turbocharger turbine blades frequently originated from crystallographic facets with the highest Schmidt Factor in the {111} [1–10] slip system parallel to the loading direction. The presence of coarse strip-like carbides promoted the formation of secondary cracks, while the fine dendritic structure appeared to impede the propagation of fatigue striations and facilitate changes in their direction. In contrast, minor casting defects had a negligible impact on the initiation and propagation of cracks. The results of the feature selection using machine learning indicated that the secondary dendrite arm space (SDAS) and carbide size were crucial for the fatigue life with the low micropores. A fatigue life prediction model based on microstructural characteristics was developed using the traditional Basquin model. The method enables the rapid assessment of the fatigue performance of centrifugal casting turbine blades, which is significant for the safety evaluation of turbocharger turbine components.
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.
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