Transforming Additive Manufacturing with Artificial Intelligence: A Review of Current and Future Trends
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27230%2F25%3A10258344" target="_blank" >RIV/61989100:27230/25:10258344 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/article/10.1007/s11831-025-10283-y" target="_blank" >https://link.springer.com/article/10.1007/s11831-025-10283-y</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s11831-025-10283-y" target="_blank" >10.1007/s11831-025-10283-y</a>
Alternative languages
Result language
angličtina
Original language name
Transforming Additive Manufacturing with Artificial Intelligence: A Review of Current and Future Trends
Original language description
Additive manufacturing (AM) is a dynamic manufacturing process that provides new opportunities for creating products with intricate shapes and structures. AM, often known as Three Dimensional (3D) printing, has gained significant attention due to its technological developments, and the incorporation of artificial intelligence (AI) has further transformed its environment. This work aims to present the role of AI in various AM technologies and their industrial applications, highlighting the evolution of AM from a prototyping tool to standard manufacturing technology for final products. This review discusses the different AM technologies such as powder bed fusion (PBF), binder jetting (BJT), directed energy deposition (DED), and fused deposition modelling (FDM). This paper also covers artificial intelligence applications in design, process parameter optimization, quality control, material processing, reprocessing, and recycling. The outcomes reveal that the utilization of techniques like data acquisition coupled with Machine Learning (ML) algorithms is a foundational element bridging AM and AI. In addition, this review also addresses current challenges related to AI's role in advancing the evolution of AM technology while discussing potential areas for future research. © The Author(s) under exclusive licence to International Center for Numerical Methods in Engineering (CIMNE) 2025.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20301 - Mechanical engineering
Result continuities
Project
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Continuities
O - Projekt operacniho programu
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Archives of Computational Methods in Engineering
ISSN
1134-3060
e-ISSN
—
Volume of the periodical
2025
Issue of the periodical within the volume
Not specified
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
32
Pages from-to
"not paged"
UT code for WoS article
001457040800001
EID of the result in the Scopus database
2-s2.0-105001646402