Fatigue crack non-propagation behavior of a gradient steel structure from induction hardened railway axles-Reference-Cited by-同舟云学术

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Fatigue crack non-propagation behavior of a gradient steel structure from induction hardened railway axles

Published:2023-01 Issue: Volume:166 Page:107296
ISSN:0142-1123
Container-title:International Journal of Fatigue
language:en
Short-container-title:International Journal of Fatigue

Author:

Zhang Han,Wu Shengchuan,Ao Ni,Zhang Jiwang,Li Hang,Zhou Liang,Xu Pingguang,Su Yuhua

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering,Mechanics of Materials,General Materials Science,Modeling and Simulation

Reference42 articles.

1. Stress concentration of transition groove induced by a press-fitted part in railway axles;Yamamoto;Int J Fatigue,2017

2. Cyclic plastic strain based damage tolerance for railway axles in China;Wu;Int J Fatigue,2016

3. EURAXLES - A global approach for design, production and maintenance of railway axles: WP4-“Tools, technologies and surface protection systems minimizing the negative influence of corrosion or surface damage on the free axle surface”;Gerlach;Materialwissenshaft Und Werkstofftechnik,2017

4. Probabilistic fatigue assessment for high-speed railway axles due to foreign object damages;Wu;Int J Fatigue,2018

5. Fatigue and damage tolerance assessment of induction hardened S38C axles under different foreign objects;Gao;Int J Fatigue,2021

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Gradient residual stress and fatigue life prediction of induction hardened carbon steel S38C axles: Experiment and simulation;International Journal of Fatigue;2024-08

2. Gradient residual strain determination of surface impacted railway S38C axles by neutron Bragg-edge transmission imaging;Engineering Fracture Mechanics;2024-08

3. Machine Learning Augmentation of the Failure Assessment Diagram Methodology for Enhanced Tubular Structures Integrity Evaluation;Engineering Fracture Mechanics;2024-08

4. Prediction of the Case Depth Based on the Spatial Gradient Feature in Induction-Hardened Steel With a Large Transition Zone by Ultrasonic Backscatter;IEEE Sensors Journal;2024-08-01

5. Optimizing Fatigue Performance in Gradient Structural Steels by Manipulating the Grain Size Gradient Rate;Materials;2024-07-01

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