Accelerating phase transformation in a non-equiatomic CoCrNi alloy under low-cycle fatigue deformation

IF 5.7 2区材料科学 Q1 ENGINEERING, MECHANICAL

International Journal of Fatigue Pub Date : 2025-01-16 DOI:10.1016/j.ijfatigue.2025.108818

Z.Y. Li, H.Q. Liu, Z.Y. Ni, S.Y. Peng, Y.Z. Tian

引用次数: 0

Abstract

Stacking fault energy (SFE) plays a key role in the deformation mechanisms and mechanical behavior of metallic materials. However, the low-cycle fatigue (LCF) behavior of low SFE materials remains unclear. This work presents the monotonic tensile and LCF behaviors of Co35Cr42Ni23 alloy with very low SFE. In contrast to the dislocation-dominated deformation mechanism in equiatomic CoCrNi alloy, planar patterns of stacking faults (SFs) and hexagonal close-packed (HCP) phase dominated in the Co35Cr42Ni23 alloy during fatigue deformation. At equivalent stress levels, a substantial amount of HCP phase was generated during LCF deformation, which was significantly higher than that under monotonic deformation. This accelerated phase transformation is attributed to the SFs-dominated mechanism and the strain accumulation mechanism of fatigue deformation.

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来源期刊

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.