@article{ffde5a889c6b41468637eaa10bb77777,
title = "Parameter Optimization for Hydrogen-Induced Fluidized Bed Reduction of Magnetite Iron Ore Fines",
abstract = "Hydrogen-based direct reduced iron (HyDRI) produced by fluidized bed has great potential for achieving the target of net-zero carbon in steelmaking. However, when magnetite ores were used as feedstock, several process parameters showed influences on its fluidization and reduction behaviors. To confirm the dominant influencing factors and its optimum process condition, the orthogonal experimental method was conducted in the present study. The result shows that the primary and secondary influencing factors are oxidation temperature, oxidation content, MgO addition amount, and gas velocity. The optimum condition is that the magnetite iron ore is deeply oxidized at 800 °C, mixed with 1.5 wt.% of MgO powder, and reduced in the fluidized bed at a gas velocity of 0.45 m/s.",
keywords = "fluidized bed, hydrogen-based direct reduced iron, influencing factors, optimum condition",
author = "Heng Zheng and Johannes Schenk and Oday Daghagheleh and Bernd Taferner",
note = "Funding Information: All authors greatly acknowledge the funding support of K1-MET GmbH. The research program of the K1-MET competence center is supported by COMET (Competence Center for Excellent Technologies), the Austrian program for competence centers. COMET is funded by the Federal Ministry for Climate Action, Environment, Energy, Mobility, Innovation and Technology, the Federal Ministry for Digital and Economic Affairs, the provinces of Upper Austria, Tyrol and Styria, and the Styrian Business Promotion Agency (SFG). Funding Information: This research was funded by K1-MET GmbH, metallurgical competence center (funding number FFG No. 869295). The research work was partially financed by Montanuniversitaet Leoben. Heng Zheng greatly acknowledges the financial support from the program of China Scholarship Council (No.201908420284). Publisher Copyright: {\textcopyright} 2023 by the authors.",
year = "2023",
month = feb,
day = "8",
doi = "10.3390/met13020339",
language = "English",
volume = "13.2023",
journal = "Metals",
issn = "2075-4701",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "2",
}