Additive Manufacturing of Metallic Materials: Experiments and Modelling
A special issue of Metals (ISSN 2075-4701). This special issue belongs to the section "Additive Manufacturing".
Deadline for manuscript submissions: 30 September 2025 | Viewed by 110
Special Issue Editors
Interests: advanced manufacturing processes; digital manufacturing and industry 4.0; material processing techniques; additive manufacturing; smart manufacturing and automation; process optimization and control in manufacturing; sustainable and energy-efficient manufacturing; hybrid manufacturing technologies; artificial intelligence and machine learning in manufacturing
Special Issues, Collections and Topics in MDPI journals
Interests: computational modeling and simulation of manufacturing processes; advanced manufacturing processes; multiscale modeling; multiphysics simualtions
Special Issue Information
Dear Colleagues,
The additive manufacturing (AM) of metallic materials has transformed the way we design, fabricate, and optimize metal components for various industries, including the aerospace, automotive, biomedical, and energy industries. Its ability to produce highly complex geometries with enhanced material properties, reduced waste, and improved efficiency has positioned AM as a key driver of innovation in modern manufacturing.
Despite significant advancements, several scientific and engineering challenges remain, particularly in understanding the microstructural evolution, mechanical performance, residual stresses, and process optimization of the metallic materials produced through AM. Bridging the gap between experimental studies and computational modeling is essential for advancing metal AM technologies and accelerating their industrial adoption.
We invite contributions to this Special Issue that address these challenges and enhance our fundamental understanding of the additive manufacturing of metallic materials. This Special Issue aims to gather a comprehensive collection of high-quality research covering both the experimental and modeling aspects of metal AM. Topics of interest include, but are not limited to, the following:
- Process–structure–property relationships in metal AM;
- Microstructural evolution and mechanical behavior;
- The modeling and simulation of AM processes;
- Residual stress formation and mitigation strategies;
- Multiscale and multiphysics modeling approaches;
- Advanced characterization techniques for AM metals;
- The application of AI and machine learning in AM process control;
- Defects, porosity, and their influence on mechanical performance;
- Post-processing techniques and their impact on material properties.
We look forward to receiving your contributions and advancing the field of metal additive manufacturing together.
Best regards,
Dr. Ana Rosanete Lourenço Reis
Dr. Roya Darabi
Guest Editors
Manuscript Submission Information
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Keywords
- metallic additive manufacturing (MAM)
- process–structure–property relationships
- microstructural evolution
- mechanical behavior of AM metals
- residual stress in additive manufacturing
- computational modeling of AM
- multiscale and multiphysics simulations
- defects and porosity in AM
- fatigue and fracture of AM components
- machine learning for process control in AM
- artificial intelligence for defect detection and quality assurance in AM
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