Process Optimization and Metallurgical Performance in Additive Manufacturing for Advanced Industrial Applications
A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Advanced Manufacturing".
Deadline for manuscript submissions: 31 December 2026 | Viewed by 180
Special Issue Editors
Interests: additive manufacturing (AM); laser material processing; process parameter optimization; finite element modeling (FEM); design of experiments (DOE); process simulation and analysis
Special Issue Information
Dear Colleagues,
Additive manufacturing (AM), commonly known as 3D printing, has emerged as a transformative technology in modern manufacturing by enabling the production of complex geometries, customized components, and high-performance materials with reduced material waste and shorter development cycles. However, achieving consistent mechanical performance, microstructural control, and dimensional accuracy remains a significant challenge due to the strong dependency of AM processes on multiple interrelated processing parameters.
This Special Issue focuses on the optimization of additive manufacturing processes and the investigation of process–structure–property relationships in advanced 3D manufacturing technologies. The aim of this Special Issue is to explore both experimental and numerical approaches that improve process efficiency, product quality, and reliability in various additive manufacturing techniques. Emphasis is placed on understanding how process parameters, monitoring systems, and optimization strategies influence the mechanical, thermal, and microstructural characteristics of manufactured components.
Topics of interest include, but are not limited to, the following:
- Process parameter optimization in metal and polymer additive manufacturing;
- Process–structure–property relationships in 3D printed materials;
- In situ monitoring and real-time control of additive manufacturing processes;
- Artificial intelligence and machine learning for process optimization and defect prediction;
- Thermal modeling, melt pool dynamics, and residual stress analysis;
- Mechanical performance and material characterization of additively manufactured components;
- Surface quality, porosity control, and defect mitigation strategies;
- Powder characteristics and feedstock preparation for AM processes;
- Hybrid manufacturing and post-processing techniques;
- Advanced simulation, digital twins, and multi-physics modeling for AM;
- Sustainable and energy-efficient additive manufacturing approaches;
- Industrial applications of optimized additive manufacturing processes.
This Special Issue aims to bring together researchers, engineers, and industry experts to share recent advancements and innovative methodologies in additive manufacturing process optimization. By addressing key scientific and technological challenges, this Special Issue seeks to contribute to the development of more reliable, efficient, and high-performance additive manufacturing technologies for a wide range of industrial applications.
We look forward to receiving your valuable contributions in this rapidly evolving field.
Dr. Mojtaba Karamimoghadam
Dr. Mousa Javidani
Guest Editors
Manuscript Submission Information
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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. Machines is an international peer-reviewed open access monthly journal published by MDPI.
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Keywords
- additive manufacturing optimization
- process parameter optimization
- 3D printing technologies
- laser powder bed fusion
- directed energy deposition
- in situ process monitoring
- process–structure–property relationship
- microstructure characterization
- residual stress analysis
- machine learning in additive manufacturing
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