aathanush/CorrosionRatePrediction
Atmospheric corrosion rate prediction of low-alloy steels using machine learning models
This project helps materials scientists, engineers, and maintenance planners estimate how quickly low-alloy steels will corrode in different atmospheric conditions. By inputting environmental data and steel composition, you can predict the corrosion rate, allowing for better material selection and maintenance scheduling. It's designed for anyone involved in material specification, infrastructure longevity, or corrosion prevention.
Use this if you need to forecast the atmospheric corrosion rate of low-alloy steel components to inform design, maintenance, or material selection decisions.
Not ideal if you are working with different types of metals, non-atmospheric corrosion scenarios, or require highly localized, real-time corrosion monitoring.
Stars
10
Forks
2
Language
Jupyter Notebook
License
—
Category
Last pushed
Mar 11, 2026
Commits (30d)
0
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