Advances in Rolling Process of Metallic Materials: Measurement, Modeling, Optimization and Applications
A special issue of Metals (ISSN 2075-4701). This special issue belongs to the section "Metal Casting, Forming and Heat Treatment".
Deadline for manuscript submissions: 31 May 2026 | Viewed by 834
Special Issue Editor
Special Issue Information
Dear Colleagues,
We are delighted to invite you to contribute to this Special Issue, which is dedicated to supporting the high-quality development of the iron, steel, and non-ferrous metals industries. As an essential step in transforming metallic materials into finished products, metal rolling currently addresses several critical challenges, including disparities in process technological capabilities, insufficient product homogeneity and stability, and a relatively low degree of intelligence. In recent years, researchers have endevoured to address key technical bottlenecks, resulting in innovative advances. Concurrently, the pursuit of green, efficient, low-carbon, and intelligent rolling technologies has become both an urgent requirement and a central strategic direction in the high-quality transformation of metal manufacturing. These developments are vital not only for strengthening the core competitiveness of enterprises in ferrous and non-ferrous metallurgy, but also for advancing the sustainable development of the global metallic materials manufacturing industry.
This Special Issue seeks to provide a comprehensive analysis of rolling technology and facilitate the exchange of knowledge regarding key challenges and innovative accomplishments in the field. It also aims to explore future development trajectories for green, efficient, low-carbon, and intelligent rolling processes, with emphasis on the core themes of digitalization, greening, carbon reduction, and high efficiency in technological innovation.
We welcome the submission of original research articles and reviews. The scope of this Special Issue includes, but is not limited to, the following topics:
- Recent advances and future trends in rolling technologies;
- Development and application of online quality inspection technologies;
- High-precision modeling and control techniques for rolling processes;
- Applications of industrial big data analytics in rolling production;
- Artificial intelligence algorithms and smart factory implementation;
- Innovations in rolling processes and product development for high-quality metallic materials;
- Rolling production equipment, instrumentation, heating, heat treatment, and related technologies.
We look forward to receiving your contributions.
Dr. Dong Xu
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 250 words) can be sent to the Editorial Office for assessment.
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
- rolling process
- measurement
- modeling
- optimization
- industrial big data analytics
- applications
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