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Special Issue "The Physics of Joining and Additive Manufacturing"
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Additive Manufacturing Technologies".
Deadline for manuscript submissions: closed (28 February 2023) | Viewed by 1459
Special Issue Editors
Interests: additive manufactueing; fusion welding; high-fidelity numerical simulations; transport phenomena in materials processing; data- and physics-driven design and optimisation
Interests: joining and additive manufacturing; materials characterization; microstructure development; residual stress and distortion mitigation
Interests: additive manufacturing; smart materials; mechanical behavior; damage and fracture of engineering materials
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Special Issue Information
The development, control, monitoring, and optimisation of advanced joining and additive manufacturing rely on our understanding of the involved physical phenomena. Similarly, the deposition of materials to form (near) net shapes requires a deep understanding of the processes and materials in order to control shape and properties. The properties of materials depend on their composition and thermal-mechanical history. Microstructures and properties can be affected by processing. The comprehensive scope of this Special Issue includes all physical aspects of advanced joining and additive manufacturing processes of all materials. It aims at collating aspects of applied physics, engineering, materials science, and chemistry, which are crucial for the development of efficient and cost-effective joining and additive manufacturing technologies. Topics of interest include but are not limited to:
- The physical properties of fluids at elevated temperatures;
- Plasma flow and mass transfer in welding and additive manufacturing;
- Heat and fluid flow in melt pools;
- Microstructure design and control;
- Residual stresses and distortion;
- Numerical simulations of welding and additive manufacturing;
- Topology optimisation;
- Applications of artificial intelligence.
The categories of manuscript types that will be considered for publication include full-length original research articles, short communications, reviews, and perspectives. Manuscripts submitted to this Special Issue should contain new insights into the relationship between the processing, structure, and properties of materials.
Dr. Amin Ebrahimi
Dr. Marcel J.M. Hermans
Dr. Vera Popovich
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.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2300 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.
- joining and additive manufacturing
- heat and mass transfer
- materials characterization
- microstructure development
- residual stress and distortion mitigation
- mechanical behavior
- defect formation in welding and additive manufacturing
- numerical modelling
- topology optimisation
- artificial intelligence and machine learning