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Revisiting the Copson Curve Using Data Science
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DOI：10.1149/1945-7111/acd7ab.png)
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摘要
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This work applies machine learning to holistically interrogate the influence of metallurgical factors, such as chemical composition, heat treatment, and mechanical properties, on the stress corrosion cracking resistance of corrosion-resistant alloys. Particularly, we explored the effect of nickel in reducing the stress corrosion cracking susceptibility in boiling magnesium chloride, arguably a controversial topic since Copson's 1959 seminal publication. This paper offers insights into the synergies of nickel with other alloying elements that ultimately impact the resistance to stress corrosion cracking. Furthermore, a more detailed description of statistical patterns in the so-called Copson curve is provided.
Keyword:
DIMENSIONALITY REDUCTION
LOCALIZED CORROSION
STAINLESS-STEELS
CRACKING
PARADOX
STRESS
NICKEL
期刊
IF:
3.3
论文数:
3.3W
被引数:
9.4W
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