Corrosion fatigue behavior and life prediction of railway axle EA4T alloy steel with artificial indentation
Author:
Funder
Natural Science Foundation of Sichuan Province
Publisher
Elsevier BV
Reference40 articles.
1. Probabilistic fatigue assessment for high-speed railway axles due to foreign object damages;Wu;Int J Fatigue,2018
2. Defects as a root cause of fatigue failure of metallic components. III: Cavities, dents, corrosion pits, scratches;Zerbst;Eng Fail Anal,2019
3. Fatigue properties and fatigue strength evaluation of railway axle steel: Effect of micro-shot peening and artificial defect;Zhang;Int J Fatigue,2020
4. Fatigue assessment of EA4T railway axles under artificial surface damage;Gao;Int J Fatigue,2021
5. Three-dimensional correlation of damage criticality with the defect size and lifetime of externally impacted 25CrMo4 steel;Luo;Mater Design,2020
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