Triboinformatic Machine Learning Model for Frictional Behavior and Wear Volume Loss Prediction of SS316L Alloy Clad with WC/NiCrBSi
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s40735-024-00874-w.pdf
Reference54 articles.
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4. De Moraes FP, Alves SF, Plaut RL, Padilha AF (2019) Degradation of microstructure and properties of an AISI 316L steel pipe after more than 100,000 hours usage at 640°C in a petrochemical industry. Procedia Struct Integr 17:131–137. https://doi.org/10.1016/j.prostr.2019.08.018
5. Alkan S, Gök MS (2021) Effect of sliding wear and electrochemical potential on tribocorrosion behaviour of AISI 316 stainless steel in seawater. Eng Sci Technol Int J 24(2):524–532. https://doi.org/10.1016/j.jestch.2020.07.004
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