Gradient residual stress and fatigue life prediction of induction hardened carbon steel S38C axles: Experiment and simulation-Reference-Cited by-同舟云学术

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Gradient residual stress and fatigue life prediction of induction hardened carbon steel S38C axles: Experiment and simulation

Published:2024-08 Issue: Volume:185 Page:108336
ISSN:0142-1123
Container-title:International Journal of Fatigue
language:en
Short-container-title:International Journal of Fatigue

Author:

Qin Tianyu,Hu Feifei,Xu Pingguang^ORCID,Zhang Han^ORCID,Zhou Liang^ORCID,Ao Ni^ORCID,Su Yuhua,Shobu Takahisa,Wu Shengchuan^ORCID

Publisher

Elsevier BV

Reference41 articles.

1. Fatigue crack non-propagation behavior of a gradient steel structure from induction hardened railway axles;Zhang;Int J Fatigue,2023

2. Estimation of residual stress distribution in railway axles;Dlhý;Eng Fail Anal,2022

3. Fatigue limit of induction hardened railway axles;Fajkoš;Fatigue Fract Eng Mater Struct,2015

4. Fatigue resistance and remaining life assessment of induction-hardened S38C steel railway axles;Hu;Int J Fatigue,2021

5. Influence of heat treatment-induced residual stress on residual fatigue life of railway axles;Pokorný;Theor Appl Fract Mech,2020

Cited by 4 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. Experimental and numerical investigation on residual stress of 316L SS treated by different laser shock peening parameters;Optics and Lasers in Engineering;2024-12

2. Predicting the low‐cycle fatigue life of Ti‐6Al‐4V alloy using backpropagation neural network optimized by the improved dung beetle algorithm;Fatigue & Fracture of Engineering Materials & Structures;2024-08-11

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

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

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