Intelligent tools for large-scale 3D printing: a scoping review
Apstrakt
In recent decades, building methods such as 3D printing have been increasingly
researched for the design and fabrication of various architectural elements. Artificial
Intelligence is another rapidly developing technology whose potential in the building
industry is continuously being explored. This paper’s objective lies in mapping out the
field of existing Artificial Intelligence tools for large-scale 3D printing, searching for
possible applications throughout the different development stages including the prefabrication
phase with structural design, optimization, behavior simulations, and
predictions, as well as the production phase through the real-time monitoring of the
process. In this study, different types of Artificial Intelligence (such as machine learning,
deep learning, and computer vision), have been identified regarding their role in 3D
printing to assess its potentials, limitations, and the present research gaps. Finally,
potential research directions and emergi...ng topics are presented. The study's findings
increase the understanding of Artificial Intelligence techniques and applications in the 3D
printing process and can aid in choosing and implementing the most promising ones in
further research.
Ključne reči:
Artificial Intelligence / Additive Manufacturing / 3D Printing / Digital Fabrication / Architecture DesignIzvor:
Zbornik radova Građevinsko-arhitektonskog fakulteta = Journal of the Faculty of Civil Engineering and Architecture, 2023, 38, 88-99Izdavač:
- Građevinsko-arhitektonski fakultet Univerziteta u Nišu
Finansiranje / projekti:
- Ministarstvo nauke, tehnološkog razvoja i inovacija Republike Srbije, institucionalno finansiranje - 200090 (Univerzitet u Beogradu, Arhitektonski fakultet) (RS-MESTD-inst-2020-200090)
Institucija/grupa
Arhitektonski fakultetTY - JOUR AU - Živković, Milijana AU - Žujović, Maša AU - Milošević, Jelena PY - 2023 UR - https://raf.arh.bg.ac.rs/handle/123456789/1469 AB - In recent decades, building methods such as 3D printing have been increasingly researched for the design and fabrication of various architectural elements. Artificial Intelligence is another rapidly developing technology whose potential in the building industry is continuously being explored. This paper’s objective lies in mapping out the field of existing Artificial Intelligence tools for large-scale 3D printing, searching for possible applications throughout the different development stages including the prefabrication phase with structural design, optimization, behavior simulations, and predictions, as well as the production phase through the real-time monitoring of the process. In this study, different types of Artificial Intelligence (such as machine learning, deep learning, and computer vision), have been identified regarding their role in 3D printing to assess its potentials, limitations, and the present research gaps. Finally, potential research directions and emerging topics are presented. The study's findings increase the understanding of Artificial Intelligence techniques and applications in the 3D printing process and can aid in choosing and implementing the most promising ones in further research. PB - Građevinsko-arhitektonski fakultet Univerziteta u Nišu T2 - Zbornik radova Građevinsko-arhitektonskog fakulteta = Journal of the Faculty of Civil Engineering and Architecture T1 - Intelligent tools for large-scale 3D printing: a scoping review VL - 38 SP - 88 EP - 99 UR - https://hdl.handle.net/21.15107/rcub_raf_1469 ER -
@article{ author = "Živković, Milijana and Žujović, Maša and Milošević, Jelena", year = "2023", abstract = "In recent decades, building methods such as 3D printing have been increasingly researched for the design and fabrication of various architectural elements. Artificial Intelligence is another rapidly developing technology whose potential in the building industry is continuously being explored. This paper’s objective lies in mapping out the field of existing Artificial Intelligence tools for large-scale 3D printing, searching for possible applications throughout the different development stages including the prefabrication phase with structural design, optimization, behavior simulations, and predictions, as well as the production phase through the real-time monitoring of the process. In this study, different types of Artificial Intelligence (such as machine learning, deep learning, and computer vision), have been identified regarding their role in 3D printing to assess its potentials, limitations, and the present research gaps. Finally, potential research directions and emerging topics are presented. The study's findings increase the understanding of Artificial Intelligence techniques and applications in the 3D printing process and can aid in choosing and implementing the most promising ones in further research.", publisher = "Građevinsko-arhitektonski fakultet Univerziteta u Nišu", journal = "Zbornik radova Građevinsko-arhitektonskog fakulteta = Journal of the Faculty of Civil Engineering and Architecture", title = "Intelligent tools for large-scale 3D printing: a scoping review", volume = "38", pages = "88-99", url = "https://hdl.handle.net/21.15107/rcub_raf_1469" }
Živković, M., Žujović, M.,& Milošević, J.. (2023). Intelligent tools for large-scale 3D printing: a scoping review. in Zbornik radova Građevinsko-arhitektonskog fakulteta = Journal of the Faculty of Civil Engineering and Architecture Građevinsko-arhitektonski fakultet Univerziteta u Nišu., 38, 88-99. https://hdl.handle.net/21.15107/rcub_raf_1469
Živković M, Žujović M, Milošević J. Intelligent tools for large-scale 3D printing: a scoping review. in Zbornik radova Građevinsko-arhitektonskog fakulteta = Journal of the Faculty of Civil Engineering and Architecture. 2023;38:88-99. https://hdl.handle.net/21.15107/rcub_raf_1469 .
Živković, Milijana, Žujović, Maša, Milošević, Jelena, "Intelligent tools for large-scale 3D printing: a scoping review" in Zbornik radova Građevinsko-arhitektonskog fakulteta = Journal of the Faculty of Civil Engineering and Architecture, 38 (2023):88-99, https://hdl.handle.net/21.15107/rcub_raf_1469 .