Abstract
This paper presents a new mineralogical and textural characterization solution for iron ore sinter samples using an automated single scanning electron microscope. It employs a motorized and computer-controlled multiple sample stage. Mosaic images covering large areas of polished sections are acquired to measure the volume/weight fraction of mineral compositions (phase fraction calculation is based on user-defined density per phase). Different classifiers discriminate hematite, calcium ferrite, calcium silico-ferrite, magnesioferrite, calcium silicate and glasses. The entire process is automatic and produces a full pdf report containing typical images and the quantification of mineral phases and grain size. This study represents a convenient method for analyzing mineral phase and grain size in iron ore sinter samples that can allow for quicker results in sintering process control and optimization.
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Acknowledgements
The authors would like to thank ArcelorMittal Global R&D management for their permission to publish this work.
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© 2020 The Minerals, Metals & Materials Society
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Zhang, M., Andrade, M. (2020). Characterization of Iron Ore Sinter Samples by Automated SEM. In: Li, J., et al. Characterization of Minerals, Metals, and Materials 2020. The Minerals, Metals & Materials Series. Springer, Cham. https://doi.org/10.1007/978-3-030-36628-5_1
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DOI: https://doi.org/10.1007/978-3-030-36628-5_1
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Publisher Name: Springer, Cham
Print ISBN: 978-3-030-36627-8
Online ISBN: 978-3-030-36628-5
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