通过使用机器学习来预测金属和合金在高温氧化过程中氧化的裂纹的新方法

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Rathachai Chawuthai1, Teeratat Promchan2, Jularak Rojsanga2

  • 1Department of Computer Engineering, School of Engineering, King Mongkut's Institute of Technology Ladkrabang, Chalongkrung Road, Ladkrabang, Bangkok, 10520, Thailand.

Scientific reports
|March 5, 2025
PubMed
概括

机器学习准确地预测了材料故障,在预测高温过程中的氧化物裂变方面超过了Pilling-Bedworth比率 (PBR). 这种方法提高了合金降解和保护性氧化物薄膜完整性的预测.

关键词:
高温氧化过程中的高温氧化.机器学习 机器学习预测 预测 预测斯帕拉法是指斯帕拉法 (spallation) 的一种方法.

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Corrosion02:49

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The degradation of metals due to natural electrochemical processes is known as corrosion. Rust formation on iron, tarnishing of silver, and the blue-green patina that develops on copper are examples of corrosion. Corrosion involves the oxidation of metals. Sometimes it is protective, such as the oxidation of copper or aluminum, wherein a protective layer of metal oxide or its derivatives forms on the surface, protecting the underlying metal from further oxidation. In other cases, corrosion is...