| About this Abstract |
| Meeting |
2020 TMS Annual Meeting & Exhibition
|
| Symposium
|
Characterization of Minerals, Metals and Materials
|
| Presentation Title |
Characterization of Iron Ore Sinter Samples by Automated SEM |
| Author(s) |
Mingming Zhang, Marcelo W. Andrade |
| On-Site Speaker (Planned) |
Mingming Zhang |
| Abstract Scope |
This paper presents an automatic system for mineralogical and textural characterization of iron ore samples based on a fully automated single scanning electron microscope and point counting analysis. 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 compact and non-compact hematite, polycrystalline and monocrystalline particles, and identify particles as granular, lamellar, and lobular. The entire process is automatic and produces a full pdf report containing typical images and the quantification of mineral and textural phases. This study represents an expedient method to prepare well-polished samples and analyze them in a timely manner that can allow for quicker results in process mineralogy. |
| Proceedings Inclusion? |
Planned: |