Issue |
Metall. Res. Technol.
Volume 122, Number 5, 2025
|
|
---|---|---|
Article Number | 507 | |
Number of page(s) | 11 | |
DOI | https://doi.org/10.1051/metal/2025053 | |
Published online | 18 July 2025 |
Original Article
Numerical simulation of gas-solid heat and mass transfer behavior in the full oxygen hydrogen-rich reduction melting furnace
1
Key Laboratory of Ecological Metallurgy of Multi-metal Intergrown Ores of Ministry of Education, Northeastern University, Shenyang, 110819, PR China
2
HBIS Group Co., Ltd., Shijiazhuang 050023, PR China
* e-mail: xingrifeng2021@163.com
Received:
22
January
2025
Accepted:
6
June
2025
The traditional blast furnace ironmaking faces many problems, such as high energy consumption, large emissions, and serious pollution. In order to achieve green and low-carbon ironmaking, a full oxygen hydrogen-rich reduction melting furnace process has been proposed by HBIS and Northeastern University. The melting furnace is divided into three main functional zones: the indirect reduction zone, the softening and dripping zone, and the coke combustion zone. Based on the mass and heat conservation equations of the gas-solid phase, a one-dimensional kinetic model of the full oxygen hydrogen-rich reduction melting furnace was established to study the mass and heat transfer phenomena between the gas and solid phases in the furnace. The results show that the metallization rate of the iron-containing burdens in the indirect reduction zone can reach more than 85%. Then the iron-containing burdens are directly reduced, heated, and melted in the softening and dripping zone. Compared with the traditional blast furnace, this process can reduce carbon dioxide emissions by at least 38%.
Key words: low-carbon ironmaking / the full oxygen hydrogen-rich reduction melting furnace / heat and mass transfer / one-dimensional kinetic model / numerical simulation
© EDP Sciences, 2025
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.