| id |
architectural_intelligence2023_15 |
| authors |
Philip F. Yuan, Tianyi Gao, Sijia Gu & Liming Zhang |
| year |
2023 |
| title |
Methodology of fabricating 3D printing modified plastic single-layer panels with UAV positioning technology in the era of mass customization |
| doi |
https://doi.org/https://doi.org/10.1007/s44223-023-00037-w
|
| source |
Architectural Intelligence Journal |
| summary |
Mass customization of prefabricated architecture is becoming increasingly crucial for developing the architectural industry. Advanced technologies such as 3D printing and unmanned aerial vehicles (UAV) has brought opportunities and challenges for traditional fabrication and construction methodology. Based on these emerging digital design tools and intelligent construction methods, this paper presents a novel methodology for fabricating single-layer 3D printing panels using UAV positioning technology, which has the potential to revolutionize the construction process and enhance the overall efficiency. This paper first provides a comprehensive review of the existing technologies in 3D printing and UAV positioning, highlighting their benefits and limitations in the context of construction applications. Next, a step-by-step process for fabricating single-layer 3D printing panels is introduced, detailing the optimal design parameters, material selection, and printing techniques. The utilization of UAV for precise positioning and alignment of the panels is then discussed, including the development of an on-site installation for accurate control. To validate the proposed method, a construction practice of the Chengdu Agricultural Expo Centre is produced o demonstrate the promising manufacturing and installation of single-layer 3D printed panels using UAV positioning technology. The results indicate that this method significantly reduces construction time, material waste, and labour costs, while also demonstrating significant customization and design flexibility. |
| series |
Architectural Intelligence |
| email |
|
| full text |
 file.pdf (4,749,695 bytes) |
| references |
Content-type: text/plain
|
| last changed |
2025/01/09 15:03 |
|
