Advanced Simulation Technologies of Metallurgical Processing
A special issue of Metals (ISSN 2075-4701).
Deadline for manuscript submissions: closed (30 September 2019) | Viewed by 59041
Special Issue Editor
Special Issue Information
Dear Colleagues,
Traditional models describing metallurgical processes such as sintering, roasting, smelting, leaching, precipitation, electrolysis, refining, solidification, etc., range from turbulent flow to multi-phase flow models, including heat transfer. However, at the heart of these processes, very complex multi-phase and multi-physics processes, including complex chemistry, often spanning multiple time and length scales, take place. Under these circumstances, empirical data is difficult to obtain and modelling is a complementary and promising path to follow. In conjunction with experimental data, an analysis of predicted results provides a deeper insight into the physics of these processes. Furthermore, modelling and simulation is a useful tool employed to analyse metallurgical processes in depth, such as those of a blast furnace, which are usually characterized by high costs and energy consumption. In fact, process simulations derived from versatile mathematical, physical, or data-driven models have the potential to provide effective analysis tools to improve metallurgical processes, resulting in enhanced quality at lower costs and often contributing to better sustainability. Therefore, this Special Issue is intended to collect and present the latest developments in advanced simulation technologies for metallurgical processes, as well as to identify any research gaps.
The present Special Issue aims to bring together engineers and researchers from the applicable industries and scientific community, as well as to provide a lively exchange of ideas regarding state-of-the-art and future needs for simulation technologies. Therefore, topics covered in this Special Issue will include:
- mathematical formulation;
- numerical methods and implementation issues;
- solution strategies;
- multi-scale techniques;
- multi-physics approaches;
- artificial intelligence, e.g., machine learning;
- validation, verification, and uncertainty quantification (VVUQ);
- metallurgical models;
- large-scale simulation, and industrial applications and their requirements.
Prof. Dr.-Ing. Bernhard Peters
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
- mathematical modelling
- numerical approaches
- machine learning
- continuous and discrete methods
- coupling
- uncertainty quantification
- multi-physics
- high-performance computing
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.