Simulations of Solid-State Precipitation in Metal Additive Manufacturing
A special issue of Metals (ISSN 2075-4701). This special issue belongs to the section "Additive Manufacturing".
Deadline for manuscript submissions: 30 June 2024 | Viewed by 81
Special Issue Editor
Interests: simulations; processing-structure-property; additive manufacturing; high-performance computing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent years, additive manufacturing (AM) has been increasingly used to manufacture components with complex designs and internal features that are currently beyond the realm of conventional processing routes. However, due to the extreme thermal conditions, the solidification microstructures present in the as-built condition are not adequate for meeting the target mechanical properties during service conditions. Therefore, the components have to go through a customized post-AM heat treatment to precipitate the desirable strengthening phases. Under certain AM conditions and alloy compositions, solid-state precipitation occurs during the AM process, especially when the previously formed layers undergo repeated thermal excursions due to subsequent builds. The focus of this Special Issue is the simulation of precipitation in structural and functional alloys either during AM or during subsequent post-AM heat treatment. Our main interest is to highlight various simulation methodologies and numerical implementations of precipitation in complex multi-component alloys with an accurate integration of the alloys’ thermodynamics with the simulation models. Of particular interest is the precipitation of multiple precipitate phases due to the presence of a solute concentration gradient, as well as the development of reduced-order models derived using simulation and experimental data as inputs.
Dr. Balasubramaniam Radhakrishnan
Guest Editor
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Keywords
- additive manufacturing
- structural alloys
- multi-component alloys
- phase-field
- cellular automaton, molecular dynamics
- kinetic Monte Carlo
- Potts model
- machine learning
- artificial intelligence
- surrogate model
- reduced-order model
- high-performance computing
- graphical processing unit
