Transforming Additive Manufacturing with Artificial Intelligence: A Review of Current and Future Trends
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Transforming Additive Manufacturing with Artificial Intelligence: A Review of Current and Future Trends
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Transforming Additive Manufacturing with Artificial Intelligence: A Review of Current and Future Trends
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
20301 - Mechanical engineering
Návaznosti výsledku
Projekt
—
Návaznosti
O - Projekt operacniho programu
Ostatní
Rok uplatnění
2025
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Archives of Computational Methods in Engineering
ISSN
1134-3060
e-ISSN
—
Svazek periodika
2025
Číslo periodika v rámci svazku
Not specified
Stát vydavatele periodika
NL - Nizozemsko
Počet stran výsledku
32
Strana od-do
"not paged"
Kód UT WoS článku
001457040800001
EID výsledku v databázi Scopus
2-s2.0-105001646402