Thermo-mechanical fatigue behavior and damage mechanisms under different mechanical strain amplitudes in H13 steel

IF 5.7 2区材料科学 Q1 ENGINEERING, MECHANICAL International Journal of Fatigue Pub Date : 2025-01-02 DOI:10.1016/j.ijfatigue.2025.108805

Hailing Chen, Shengci Li, Yupeng Ren, Yang Li, Tingting Dong, Yuzhen Li

引用次数: 0

Abstract

This work assessed and discussed the thermo-mechanical fatigue (TMF) behavior and microstructural damage mechanism of H13 hot work die steel. The results showed that the TMF life decreased and cycle softening became more pronounced with increasing mechanical strain amplitude. Surface oxidation accelerated crack initiation and the texture components changed to a {112} < 111 > copper texture at 1.1 %. In addition, the strain amplitude influenced carbide precipitation and aggregation distribution, which caused local stress concentrations, and lattice distortion provided energy for carbide nucleation and growth.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

求助全文

约1分钟内获得全文去求助

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.