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Application of different models for the prediction of the kinetics of direct reduction of natural iron ores
KTH, School of Industrial Engineering and Management (ITM), Materials Science and Engineering, Applied Process Metallurgy. (Process Metallurgy)ORCID iD: 000-0002-5223-7857
KTH, School of Industrial Engineering and Management (ITM), Materials Science and Engineering, Applied Process Metallurgy.
(English)Manuscript (preprint) (Other academic)
Abstract [en]

Simulation of the direct reduction conditions was performed in a laboratory furnace. Lump samples from natural hematite iron ore were reduced by a gas mixture of H2 and CO (H2/CO =1.5) at temperatures 700, 800 and 900°C. The effect of reduction temperature on the reduction degree, reduction rate of samples and carbon deposition were investigated and discussed in this study. The thermo-gravimetric data obtained from the reduction experiments was run in a programme that calculates the solid conversion rate. Also, three models: i) Grain Model (GM), ii) Volumetric Model (VM) and iii) the Random Pore Model (RPM), were used to estimate the reduction kinetics of natural iron ores. It was found that the RPM model result agreed best with the obtained experimental results. Furthermore, it gave better predictions of the natural iron oxide conversion and thereby the reduction kinetics.

Keyword [en]
natural iron ore, porosity, direct reduction kinetics, solid conversion, reduction rate.
National Category
Other Materials Engineering
Identifiers
URN: urn:nbn:se:kth:diva-123062OAI: oai:DiVA.org:kth-123062DiVA: diva2:624396
Projects
Sustainable Technology Development in the Lake Victoria Region
Funder
Sida - Swedish International Development Cooperation Agency, 5410004501
Note

NQC 2015

Available from: 2013-05-31 Created: 2013-05-31 Last updated: 2015-04-21Bibliographically approved

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  • Other locale
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Output format
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