Prediction of end-point phosphorus content of molten steel in BOF with machine learning models

Prediction of end-point phosphorus content of molten steel in BOF with machine learning models

The main task in the production of steel in the basic oxygen furnace (BOF) is dephosphorization Therefore, the prediction and control of the end-point phosphorus content of molten steel is of great significance. Four machine learning regression models (Lasso, Random Forest, Xgboost, and Neural Netwo...

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Bibliographic Details
Main Authors: Kang Y., Ren M.-M., Zhao J.-X., Yang L.-B., Zhang Z.-K., Wang Z., Cao G.
Format: Article
Language:English
Published: University of Belgrade, Technical Faculty, Bor 2024-01-01
Series:Journal of Mining and Metallurgy. Section B: Metallurgy
Subjects:
converter steelmaking
machine learning
ensemble tree model
model interpretability
influencing factor ranking
end-point prediction
Online Access:https://doiserbia.nb.rs/img/doi/1450-5339/2024/1450-53392400008K.pdf
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https://doiserbia.nb.rs/img/doi/1450-5339/2024/1450-53392400008K.pdf

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