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Minerals
Special Issues
Evolution and Modeling of Iron Ore Sintering Process
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Evolution and Modeling of Iron Ore Sintering Process

A special issue of Minerals (ISSN 2075-163X). This special issue belongs to the section "Mineral Processing and Extractive Metallurgy".

Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 4104

Special Issue Editor

Prof. Dr. Jose Adilson de Castro

E-Mail Website
Guest Editor
Technology Center, UFF–Federal Fluminense University, 27255-125 Volta Redonda, RJ, Brasil
Interests: steelmaking; ironmaking; welding; steel heat treatment; residual stresses
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We aim to publish a Special Issue of the journal Minerals that presents a set of themed articles on the “Evolution and Modeling of Iron Ore Sintering Process”. The main focus will be on the actual status and developments of the iron ore sintering process and discussing new insights into ongoing technologies with potential for integration and sustainable approaches, from raw material selection and preparation to technological predictions of sinter properties. Our Special Issue will cover relevant topics of interest, such as:

  1. Raw material selection and intensive mixing (experimental and modeling approaches);
  2. Sintering modeling (statistical, continuous and discrete approaches);
  3. Modeling and optimization techniques applied to sinter production;
  4. CALPHAD approach for sintering phase evolution;
  5. Kinetics and phenomenological modeling;
  6. Big data approach for raw material preparation and sintering process;
  7. Artificial intelligence and expert systems for sintering process control;
  8. Image analysis and alternatives techniques for mineral and sinter phase quantification;
  9. New alternative fuels for the iron ore sintering process;
  10. Industrial trials aiming at sustainable developments in the iron ore sintering process.

Thank you and we look forward to receiving your contributions.

Prof. Dr. Jose Adilson de Castro
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Minerals is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Modeling
  • process simulation
  • experimental verification
  • industrial application
  • mineral phases
  • SCFA
  • granulation
  • raw materials preparation
  • renewable fuels
  • hydrogen

Published Papers (1 paper)

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Research

24 pages, 9647 KiB  
Article
Automated Optical Image Analysis of Iron Ore Sinter
by Eugene Donskoi, Sarath Hapugoda, James Robert Manuel, Andrei Poliakov, Michael John Peterson, Heinrich Mali, Birgit Bückner, Tom Honeyands and Mark Ian Pownceby
Minerals 2021, 11(6), 562; https://doi.org/10.3390/min11060562 - 25 May 2021
Cited by 6 | Viewed by 3148
Abstract
Sinter quality is a key element for stable blast furnace operation. Sinter strength and reducibility depend considerably on the mineral composition and associated textural features. During sinter optical image analysis (OIA), it is important to distinguish different morphologies of the same mineral such [...] Read more.
Sinter quality is a key element for stable blast furnace operation. Sinter strength and reducibility depend considerably on the mineral composition and associated textural features. During sinter optical image analysis (OIA), it is important to distinguish different morphologies of the same mineral such as primary/secondary hematite, and types of silico-ferrite of calcium and aluminum (SFCA). Standard red, green and blue (RGB) thresholding cannot effectively segment such morphologies one from another. The Commonwealth Scientific Industrial Research Organization’s (CSIRO) OIA software Mineral4/Recognition4 incorporates a unique textural identification module allowing various textures/morphologies of the same mineral to be discriminated. Together with other capabilities of the software, this feature was used for the examination of iron ore sinters where the ability to segment different types of hematite (primary versus secondary), different morphological sub-types of SFCA (platy and prismatic), and other common sinter phases such as magnetite, larnite, glass and remnant aluminosilicates is crucial for quantifying sinter petrology. Three different sinter samples were examined. Visual comparison showed very high correlation between manual and automated phase identification. The OIA results also gave high correlations with manual point counting, X-ray Diffraction (XRD) and X-ray Fluorescence (XRF) analysis results. Sinter textural classification performed by Recognition4 showed a high potential for deep understanding of sinter properties and the changes of such properties under different sintering conditions. Full article
(This article belongs to the Special Issue Evolution and Modeling of Iron Ore Sintering Process)
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