Advanced Simulation and Modeling Technologies of Metallurgical Processes—2nd Edition
A special issue of Metals (ISSN 2075-4701). This special issue belongs to the section "Computation and Simulation on Metals".
Deadline for manuscript submissions: 10 December 2025 | Viewed by 1726
Special Issue Editor
Interests: blast furnace; iron ore sintering; iron ore reduction reaction; charging law in blast furnace; software development in ironmaking process; shaft furnace; low carbon ironmaking technology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Due to the rapid developments in computer technologies during the last two decades, computer-based process modeling has become an important tool for the improvement in existing process technologies and the development of innovative ones. With the help of numerical process simulations, complex and costly experimental trials can now be reduced to a minimum. In particular, for metallurgical processes, computer simulations are of outstanding importance.
The current numerical methods for metallurgical processes cover a wide array of applications, such as multiphase flow, multi-physics processes, optimization, and process simulation. The detailed and vast amounts of simulation data allow a thorough analysis of the relevant processes and their interactions that reveal the underlying physics. A deep understanding is of critical importance for process design and performance. In this Special Issue, we tried to select contributions which focus on innovative models/techniques/methods and provide some new insights into the different areas of metallurgical processes in ironmaking and steelmaking.
In this Special Issue, we seek to provide a wide set of articles on various aspects of simulation and modeling technologies in metallurgical processes. It is hoped that this open access Special Issue will provide a place for anyone to familiarize themselves with the current state of technologies in metallurgical processes. Articles on the ironmaking and steelmaking process are desired, such as data-driver modeling in sintering, blast furnaces and basic oxygen furnaces, gas–solid flow behavior by means of CFD, particle motion behavior by means of the discrete element method (DEM), new process development based on carbon peaking and carbon neutralization, the application of mathematical models, and new methods of visualization and intelligence.
Dr. Haifeng Li
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. Metals 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 2600 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
- forecasting modeling
- sintering
- blast furnace
- basic oxygen furnace
- gas–solid flow behavior
- carbon peaking and carbon neutralization
- application of mathematical models
- methods of visualization and intelligence
- discrete element method (DEM)
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