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2020 | OriginalPaper | Chapter

Characterization of Iron Ore Sinter Samples by Automated SEM

Authors : Mingming Zhang, Marcelo Andrade

Published in: Characterization of Minerals, Metals, and Materials 2020

Publisher: Springer International Publishing

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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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Metadata
Title
Characterization of Iron Ore Sinter Samples by Automated SEM
Authors
Mingming Zhang
Marcelo Andrade
Copyright Year
2020
DOI
https://doi.org/10.1007/978-3-030-36628-5_1

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