A SYSTEMATIC LITERATURE REVIEW ON THE IMPACT OF GENERATIVE AI ON ADDITIVE MANUFACTURING : CURRENT STATE AND FUTURE DIRECTIONS
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
A SYSTEMATIC LITERATURE REVIEW ON THE IMPACT OF GENERATIVE AI ON ADDITIVE MANUFACTURING : CURRENT STATE AND FUTURE DIRECTIONS
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
A SYSTEMATIC LITERATURE REVIEW ON THE IMPACT OF GENERATIVE AI ON ADDITIVE MANUFACTURING : CURRENT STATE AND FUTURE DIRECTIONS
Popis výsledku anglicky
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.
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
S - Specificky vyzkum na vysokych skolach
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
MM Science Journal
ISSN
1803-1269
e-ISSN
1805-0476
Svazek periodika
2025
Číslo periodika v rámci svazku
2025
Stát vydavatele periodika
CZ - Česká republika
Počet stran výsledku
9
Strana od-do
8190-8198
Kód UT WoS článku
001434999000001
EID výsledku v databázi Scopus
2-s2.0-105000043450