Abstract
A series of direct smelting reduction experiment has been implemented with different iron ore bases by thermogravimetric analyzers. The derivative thermogravimetric data have been obtained from these experiments. The data are then decomposed by the technology of empirical mode decomposition to receive its embedded characteristics of the power spectrum. Secondly, based on the obtained power spectrum, the energy transferring behavior for reduction process of iron oxide is analyzed and is compared with other methods (i.e., analytical reagent). Finally, the desired spectral characteristics of the power spectrum for the reduction process of Huimin iron ore can be determined. The result would play a significant role in strengthening the smelting process of Huimin iron ore.
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Fan, GF., Peng, LL., Hong, WC. et al. A New Analytical Method for Reduction Process of Iron Ore Based on the Power Spectrum. Iran J Sci Technol Trans Sci 43, 2815–2829 (2019). https://doi.org/10.1007/s40995-019-00771-9
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DOI: https://doi.org/10.1007/s40995-019-00771-9