Multiscale Design and Optimisation for Metal Additive Manufacturing
A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Manufacturing Processes and Systems".
Deadline for manuscript submissions: 30 September 2026 | Viewed by 9
Special Issue Editors
Interests: additive manufacturing; titanium alloys; chemical polishing; cellular structures; implants; bioengineering; AI/ML
Special Issues, Collections and Topics in MDPI journals
Interests: biomaterials; biodegradable metals; surface engineering; corrosion; S-phase; corrosion–wear
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Metal additive manufacturing (AM) enables the fabrication of complex, high-performance components with unprecedented geometric freedom. However, achieving reliable and application-specific properties requires a deep understanding of material behaviour across multiple length and time scales—from atomic interactions and phase transformations, through melt-pool dynamics and microstructure evolution, to the macroscopic performance of final parts.
This Special Issue, “Multiscale Design and Optimisation for Metal Additive Manufacturing”, aims to collect cutting-edge research focused on multiscale modelling, simulation-driven design, and physics-based as well as data-driven optimisation strategies for metal AM processes. Contributions addressing atomistic and mesoscale modelling, phase-field and CFD simulations, thermal–mechanical process modelling, and integrated multiscale frameworks linking process parameters with microstructure and mechanical performance are particularly encouraged.
Special attention will be given to advanced optimisation methods, including artificial intelligence and machine-learning-assisted modelling, process monitoring, parameter optimisation, and design of alloys and structures tailored for metal AM. Publications addressing post-processing treatments (e.g., heat treatment, surface engineering, chemical and mechanical finishing) as well as the application of novel AM equipment and machine architectures are also within the scope of this Special Issue. Studies combining numerical simulations with in situ monitoring, µ-CT, and experimental validation for process optimisation and quality control are highly welcome.
By bridging fundamental materials science with process engineering, artificial intelligence, and computational optimisation, this Special Issue seeks to advance predictive, simulation-driven, and multiscale design approaches that enable robust, efficient, and property-tailored metal additive manufacturing.
Dr. Bartłomiej Wysocki
Prof. Dr. Joseph Buhagiar
Prof. Dr. Jian Chen
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 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. Materials is an international peer-reviewed open access semimonthly 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
- metal additive manufacturing
- multiscale modelling
- atomistic simulation
- process simulation
- microstructure evolution
- process optimisation
- artificial intelligence
- machine learning
- physics-based modelling
- data-driven optimisation
- post-processing
- heat treatment
- surface engineering
- in situ monitoring
- µ-CT
- advanced AM systems
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