Modern Processing Routes for Metallic Alloys
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Mechanical Engineering".
Deadline for manuscript submissions: 30 May 2026 | Viewed by 14
Special Issue Editors
Interests: corrosion resistance; stainless steels; magnesium alloys; solid state hydrogen storage; phase transformation mechanisms; physical metallurgy
Interests: metal forming of advanced materials; optimization of additive manufacturing processes; WAAM; characterization of materials; numerical simulation; methodologies for materials selection in manufacturing; virtual labs; sustainability
Special Issues, Collections and Topics in MDPI journals
Interests: materials processing technologies; metal forming; additive manufacturing; materials technology; data-driven decision methodologies; materials selection in manufacturing; equipment reliability; failure prognosis; nuclear power applications; renewable energy applications; oil & gas applications; aerospace applications; industrial heritage
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In the face of rapidly evolving technological and environmental landscapes, the transformation of metallic materials has reached a pivotal moment. Traditional manufacturing and processing methods are increasingly being redefined by the integration of advanced technologies, particularly artificial intelligence (AI). Modern material transformation processes now require not only cutting-edge machinery and computational power but also seamless collaboration between human expertise and intelligent systems.
This synergy between human insight and AI-driven tools is essential for optimizing efficiency, precision, and sustainability in metallic materials processing. From real-time process control to predictive modeling and adaptive decision-making, AI enables a level of responsiveness and innovation critical for addressing current and future challenges in the field. At the same time, human oversight ensures ethical considerations, contextual understanding, and creative problem-solving that machines alone cannot achieve.
We welcome original research articles, reviews, and case studies that contribute to our shared understanding and the advancement of modern metal processing, particularly where human expertise and artificial intelligence converge to meet the demands of fast-paced technological and environmental developments.
This Special Issue will highlight interdisciplinary approaches and technological innovations across a wide range of topics, including, but not limited to, the following:
- AI and Machine Learning in Metal Processing;
- Additive Manufacturing (AM) of Metals;
- Advanced Thermal Processing;
- Severe Plastic Deformation (SPD) Techniques;
- Green and Sustainable Metal Processing;
- In-Situ Characterization During Processing;
- Processing of High-Entropy Alloys (HEAs) and Complex Concentrated Alloys (CCAs);
- Metallic Coatings and Surface Treatments;
- Digital Twins and Smart Manufacturing;
- Nano- and Micro-Scale Metal Forming.
We encourage contributions from diverse sectors of academia and industry that demonstrate practical applications, novel theoretical developments, or innovative experimental techniques. Manuscripts will undergo rigorous peer review to ensure the highest standards of scientific quality and relevance.
Dr. Verona Biancardi Aguiar
Prof. Dr. Ana M. Camacho
Dr. Álvaro Rodríguez-Prieto
Guest Editors
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. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.
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Keywords
- AI and machine learning in metal processing
- additive manufacturing (am) of metals
- advanced thermal processing
- severe plastic deformation (spd) techniques
- green and sustainable metal processing
- in situ characterization during processing
- processing of high-entropy alloys (heas) and complex concentrated alloys (ccas)
- metallic coatings and surface treatments
- digital twins and smart manufacturing
- nano- and micro-scale metal forming
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