A SYSTEMATIC LITERATURE REVIEW ON THE IMPACT OF GENERATIVE AI ON ADDITIVE MANUFACTURING : CURRENT STATE AND FUTURE DIRECTIONS
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27230%2F25%3A10258454" target="_blank" >RIV/61989100:27230/25:10258454 - isvavai.cz</a>
Result on the web
<a href="https://www.webofscience.com/wos/woscc/full-record/WOS:001434999000001" target="_blank" >https://www.webofscience.com/wos/woscc/full-record/WOS:001434999000001</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.17973/MMSJ.2025_03_2025010" target="_blank" >10.17973/MMSJ.2025_03_2025010</a>
Alternative languages
Result language
angličtina
Original language name
A SYSTEMATIC LITERATURE REVIEW ON THE IMPACT OF GENERATIVE AI ON ADDITIVE MANUFACTURING : CURRENT STATE AND FUTURE DIRECTIONS
Original language description
Artificial Intelligence (AI) and its applications in modern industry, particularly in additive manufacturing (AM), have garnered significant attention from both researchers and industry professionals. In recent years, the rise of generative AI (GenAI) models, marked by the launch of ChatGPT in 2022, has driven an unprecedented shift in industry practices and workforce dynamics. This paper investigates the current state of research at the intersection of GenAI and AM, while also exploring future directions. By conducting a keyword search across four major databases (Web of Science, Scopus, IEEE Xplore, and ScienceDirect), we collected 272 papers. Through an in-depth evaluation of these papers, we identified five primary themes shaping GenAI applications in AM: AM process optimization, generative design, data & quality, design workflow, and applications. This paper also provides a detailed analysis of each category, offering valuable insights into the evolving role of GenAI in AM.
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
S - Specificky vyzkum na vysokych skolach
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
MM Science Journal
ISSN
1803-1269
e-ISSN
1805-0476
Volume of the periodical
2025
Issue of the periodical within the volume
2025
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
9
Pages from-to
8190-8198
UT code for WoS article
001434999000001
EID of the result in the Scopus database
2-s2.0-105000043450