The high cycle fatigue behavior of niobium micro-alloyed high-Mn austenitic steel with unusual precipitation at 77 K

IF 5.7 2区 材料科学 Q1 ENGINEERING, MECHANICAL International Journal of Fatigue Pub Date : 2025-03-12 DOI:10.1016/j.ijfatigue.2025.108914
Pengjie Wang , Hanlin Song , Jie Li , Jinyi Ren , Zhenyu Liu
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Abstract

Five high-Mn austenitic steels with different niobium contents are adopted to investigate their fatigue performance at 77 K by a homemade cryogenic device. The results show that although the tensile strength increases with the increase in Nb content, the fatigue performance shows an increasing followed by decreasing trend. Because the density of deformation twins is almost unchanged, so the increase in fatigue performance can be attributed to solution strengthening, grain refinement strengthening and precipitation strengthening. While the decrease can be attributed to the reduced initial microstructure uniformity and precipitates along twin boundaries which reduces the fatigue cracking resistance.
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来源期刊
International Journal of Fatigue
International Journal of Fatigue 工程技术-材料科学:综合
CiteScore
10.70
自引率
21.70%
发文量
619
审稿时长
58 days
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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