Fabricating Advanced Metallic Materials
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: 25 February 2025 | Viewed by 470
Special Issue Editors
Interests: metal forming; severe plastic deformation; microstructure/texture characterization; finite element method; crystal plasticity; machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: advanced manufacturing; friction and wear; severe plastic deformation; microstructure/texture characterisation; advanced modelling; deformation mechanism; mechanics of materials; residual stress analysis; X-ray/neutron/synchrotron diffraction; advanced and emerging materials; high-entropy alloys; corrosion and erosion of materials
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
You are warmly welcomed to submit a manuscript to our Special Issue “Fabricating advanced metallic materials” of Metals.
Advanced metallic materials are increasingly required for applications in automotive, aerospace/aeronautical, electronic, and bio-medical fields due to their high strength, super ductility, improved thermal resistance, and enhanced conductivity, etc. Fabricating advanced metallic materials involves mechanical/thermal/chemical processing, and the coupling of these processes. These fabricating techniques induce complex chemical composite distribution, hierarchical microstructures and interfaces, textures, etc., and the combination of these factors enable excellent properties of advanced metallic materials. Recent development in fabricating advanced metals has produced fruitful progresses, including innovative fabricating techniques, modern characterization methods, advanced multi-scale modelling, established machine learning models, etc. These progresses have in turn accelerated the development of advanced metals.
This Special Issue focused on fabricating advanced metallic materials by using mechanical, thermal, and chemical processes, both individually and in combination.
In this regard, original research papers, short communications, and review articles studying the following subjects are welcome in this Special Issue: metal fabricating; advanced metallic materials; mechanical processes; chemical processes; microstructure characterisation; computational material science; machine learning.
Prof. Dr. Hui Wang
Dr. Lihong Su
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
- advanced manufacturing
- metal forming/processing
- chemical treatment
- heat treatment
- mechanical properties
- chemical properties
- microstructure characterisation
- texture
- computational material science
- machine learning
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