Enhancing Erosion Behavior of 304SS Treated by Ultrasonic Surface Rolling Extrusion Technique
Author:
Publisher
Springer Science and Business Media LLC
Subject
Mechanical Engineering,Mechanics of Materials,General Materials Science
Link
https://link.springer.com/content/pdf/10.1007/s11665-023-08023-z.pdf
Reference34 articles.
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2. Q. Li, X. Tang, and Y. Li, Progress in Research Methods for Erosion, J. Chin. Soc. Corros. Prot., 2014, 34(05), p 399–409. https://doi.org/10.11902/1005.4537.2013.185
3. Q. Ren Hao, C.Y. Jianfeng, T. Qiu, and Y. Xin, Deep Learning for Fault Diagnosis: The State of the Art and Challenge, Control Decis., 2017, 32(08), p 1345–1358. https://doi.org/10.13195/j.kzyjc.2016.1625
4. J. Aguirre, and M. Walczak, Multifactorial Study of Erosion–Corrosion Wear of a X65 Steel by Slurry of Simulated Copper Tailing, Tribol. Int., 2018, 126, p 177–185. https://doi.org/10.1016/j.triboint.2018.04.029
5. H. Arabnejad, H. Uddin, K. Panda, S. Talya, and S.A. Shirazi, Testing and Modeling of Particle Size Effect on Erosion of Steel and Cobalt-Based Alloys, Powder Technol., 2021, 394, p 1. https://doi.org/10.1016/j.powtec.2021.09.057
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