Design, Processes and Materials for Additive Manufacturing: 2nd Edition

Special Issue Editor

Special Issue Information

Dear Colleagues,

Additive manufacturing (AM) has several advantages over traditional manufacturing technologies and has grown very quickly in recent years. However, there are still technological issues preventing the industry from utilizing its full potential, which can be categorized under three pillars, namely design, processes, and materials.

Such challenges include design and redesign for AM aiming to improve manufacturability, productivity, and quality, and the encapsulation of post-processing for AM into the design phase. These can be expanded towards techniques for the utilization of AI towards AM design optimization, as well as design aspects/considerations for multi-material AM and 4D printing.

Regarding process-related AM challenges, there is still a need for methodologies to mitigate the quality issues with AM parts and the optimization of process parameters for the improvement in specific key performance indicators (KPIs) related to quality and productivity, either experimentally or through simulation. Another aspect is connected to strategies and applications for in situ monitoring, defect detection, and process control, especially for metal-based AM, as well as decision support systems for AM process selection. Additionally, there is an exigency of practical and innovative modeling/simulation approaches for AM (nano-, micro-, macro-, multi-scale), as well as digital twins for AM, utilizing a holistic solution approach. Process optimization for improved surface quality and reduced post-processing is another important challenge, which will reduce the costs of AM and further increase its appeal for many industrial applications. Finally, other important topics include innovative AM processes allowing for higher productivity and a minimized need for post-processing and the design and validation of innovative hybrid AM systems.

As far as the materials pillar is concerned, there is still a need to further investigate the impact of process parameters on microstructure and mechanical properties, both experimentally and through simulations, as well as for the development of efficient quality assessment applications of mechanical properties of metal AM components. Additionally, material-related aspects of 4D printing, such as the testing and validation of 4D printing materials and methodologies for 4D printing using conventional AM equipment and materials, should be further investigated. Additional challenges include the development of techniques and methodologies for the utilization of multi-material AM for high-added-value products, as well as new materials for AM, including their testing and validation (metals, polymers, ceramics, composites, cement-based, biomaterials).

The focus and goal of this Special Issue is to address the design-, process-, and material-related challenges of AM, which include, but are not limited to, the aforementioned ones, and to propose improvements in aspects related to those three pillars to avail the wider industrial adoption of AM.

Prof. Dr. Panagiotis Stavropoulos
Guest Editor

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Keywords

  • additive manufacturing
  • AM design optimization
  • post-processing for AM
  • process optimization
  • in situ monitoring, defect detection, and process control for metal-based AM
  • material-related aspects of 4D printing
  • utilization of multi-material AM
  • new materials for AM

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Published Papers (1 paper)

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Research

22 pages, 9226 KiB  
Article
Design for Additive Manufacturing of Lattice Structures for Functional Integration of Thermal Management and Shock Absorption
by Enrico Dalpadulo, Mattia Pollon, Alberto Vergnano and Francesco Leali
J. Manuf. Mater. Process. 2025, 9(1), 24; https://doi.org/10.3390/jmmp9010024 - 14 Jan 2025
Viewed by 534
Abstract
Design optimization through the integration of multiple functions into a single part is a highly effective strategy to reduce costs, simplify assembly, improve performance, and reduce weight. Additive manufacturing facilitates the production of complex structures by allowing parts consolidation, resulting in optimized designs, [...] Read more.
Design optimization through the integration of multiple functions into a single part is a highly effective strategy to reduce costs, simplify assembly, improve performance, and reduce weight. Additive manufacturing facilitates the production of complex structures by allowing parts consolidation, resulting in optimized designs, where multiple functions are integrated into a single component. This study presents a design for additive manufacturing method for integrating multiple lattice structures to achieve thermal management and shock absorption functions. The method follows modeling and simulation phases for dimensioning and optimizing solutions to deliver the design functions at different macro- and mesoscale levels. Hierarchical complexity was leveraged to design the two-levels structure in a single part, each delivering a specific function. Specifically, the external layer addresses energy absorption and thermal insulation, while the internal layer acts as a thermal battery by incorporating a phase change material. The design of a container carried by an unmanned aerial vehicle for the transport of healthcare and biological materials is presented. The container is shock-resistant and can maintain the content at 4 ± 2 °C for at least 1 h. As it operates passively without the need for additional energy-consuming devices, it is easy to operate and contributes to increased flight autonomy. A flight mission experiment for urgent transport of blood bags confirmed the capability of the container to preserve blood integrity. This case study demonstrates that the two-layer lattice structure design represents a highly efficient approach to multifunctional design optimization. Full article
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