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Sala et al., 2018 - Google Patents

Multivariate time series for data-driven endpoint prediction in the basic oxygen furnace

Sala et al., 2018

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Document ID
129831944651987589
Author
Sala D
Jalalvand A
Van Yperen-De Deyne A
Mannens E
Publication year
Publication venue
2018 17th IEEE international conference on machine learning and applications (ICMLA)

External Links

Snippet

Industrial processes are heavily instrumented by employing a large number of sensors, generating huge amounts of data. One goal of the Industry 4.0 era is to apply data-driven approaches to optimize such processes. At the basic oxygen furnace (BOF), molten iron is …
Continue reading at core.ac.uk (PDF) (other versions)

Classifications

    • C—CHEMISTRY; METALLURGY
    • C21—METALLURGY OF IRON
    • C21C—PROCESSING OF PIG-IRON, e.g. REFINING, MANUFACTURE OF WROUGHT-IRON OR STEEL; TREATMENT IN MOLTEN STATE OF FERROUS ALLOYS
    • C21C5/00—Manufacture of carbon-steel, e.g. plain mild steel, medium carbon steel or cast steel or stainless steel
    • C21C5/28—Manufacture of steel in the converter
    • C21C5/30—Regulating or controlling the blowing
    • C—CHEMISTRY; METALLURGY
    • C21—METALLURGY OF IRON
    • C21D—MODIFYING THE PHYSICAL STRUCTURE OF FERROUS METALS; GENERAL DEVICES FOR HEAT TREATMENT OF FERROUS OR NON-FERROUS METALS OR ALLOYS; MAKING METAL MALLEABLE BY DECARBURISATION, TEMPERING OR OTHER TREATMENTS
    • C21D1/00—General methods or devices for heat treatments, e.g. annealing, hardening, quenching, tempering
    • C21D1/18—Hardening; Quenching with or without subsequent tempering

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