Mathematical Modelling of the Ironmaking Blast Furnace
A special issue of Metals (ISSN 2075-4701). This special issue belongs to the section "Extractive Metallurgy".
Deadline for manuscript submissions: closed (31 March 2023) | Viewed by 23926
Special Issue Editors
Interests: process systems engineering; modeling; optimization; energy systems; iron- and steelmaking
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The blast furnace (BF) is the traditional process in the steel industry for converting the iron oxides in iron ore to liquid iron (hot metal), but the process is facing major challenges because of its environmental impact. During the transition period, when novel, more environmentally benign ironmaking processes are being developed, it is of particular importance to further optimize the operation of the BF to minimize the need for raw materials and energy and to suppress harmful emissions. A key to these improvements lies in mathematical modeling for gaining a deeper understanding of the complex processes involved and for better decision making and control of the state of the BF.
This Special Issue focuses on novel developments in the field of modeling of the blast furnace, including detailed first-principles simulation models, control models, and statistical and data-driven models. The intent of the issue is to demonstrate the state of the art of mathematical modeling of the BF and to provide the reader with insight into the latest developments in the field.
Prof. Dr. Henrik Saxen
Dr. Lei Shao
Guest Editors
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Keywords
- global models and submodels
- CFD or CFD-DEM models
- dynamic models
- control models
- data-driven or machine-learning models
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