Prediction of the corrosion rates of subsea pipelines via KPCA
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DOI: 10.1038/s41598-025-09685-6
Abstract: The development of a precise model for predicting pipeline corrosion rates is essential for ensuring the safe operation of pipelines. To address the issues of inadequate stability and prolonged execution time associated with traditional models,… read more here.
Keywords: subsea pipelines; lssvm; corrosion rates; prediction ... See more keywords
Evaluating the corrosion rates of mild steel, stainless steel, aluminium and copper in sodium silicate at varying temperatures
Sign Up to like & getrecommendations! Published in 2025 at "Canadian Metallurgical Quarterly"
DOI: 10.1080/00084433.2025.2501893
Abstract: ABSTRACT Corrosion is a major cause of economic failures and environmental concerns in industries. This study evaluated the corrosion rates of mild steel (MS), stainless steel (SS), aluminium (Al), and copper (Cu) in sodium silicate… read more here.
Keywords: spectroscopy; corrosion rates; mild steel; steel ... See more keywords
Respirometric In Situ Methods for Real-Time Monitoring of Corrosion Rates: Part II. Immersion
Sign Up to like & getrecommendations! Published in 2021 at "Journal of The Electrochemical Society"
DOI: 10.1149/1945-7111/abdb4a
Abstract: With the aim to open a new window into corrosion processes this paper presents respirometric methods for real-time in situ monitoring of corrosion rates under immersion conditions. With these techniques, sensitive, non-destructive corrosion rate measurements… read more here.
Keywords: corrosion rates; real time; methods real; corrosion ... See more keywords
Machine Learning-Based Prediction of Atmospheric Corrosion Rates Using Environmental and Material Parameters
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DOI: 10.3390/coatings15080888
Abstract: Atmospheric corrosion significantly impacts infrastructure worldwide, with traditional assessment methods being time-intensive and costly. This study developed a comprehensive machine learning framework for predicting atmospheric corrosion rates using environmental and material parameters. Three regression models… read more here.
Keywords: atmospheric corrosion; corrosion rates; machine learning; using environmental ... See more keywords