Machine learning enhanced model for predicting coking coal blend performance with low-rank coal additions

Achieving blast-furnace coke specifications while increasing the proportion of low-rank coals remains a key challenge for iron and steel producers. The current study addresses this challenge by integrating pilot plant-scale blending trials with multiscale characterization and machine learning to pre...

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Detalhes bibliográficos

Principais autores:	Shale Venda Mamabolo, Geetha Narayanan Kannaiyan, Bridjesh Pappula, Seshibe Makgato
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2025-12-01
coleção:	Results in Engineering
Assuntos:	Low-rank coal Coking coal Coal blending Coke quality Machine learning
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2590123025041672
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