| id |
acadia23_v2_482 |
| authors |
Wan, Linxiaoyi; Liu, Jingyang; Bard, Joshua; Cupkova, Dana |
| year |
2023 |
| title |
Towards Adaptive Additive Manufacturing: Image-based Monitoring for Binder Jet 3D Printing of Coarse Composite Concrete Powders |
| source |
ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 2: Proceedings of the 43rd Annual Conference for the Association for Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9891764-0-3]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 482-492. |
| summary |
In the context of concrete 3D printing, this study explores the possibility of image-based monitoring for quality evaluation and improvement in powder-based binder jetting proce- dures for the use of coarse powders. The project's main goal is to create an integrated feedback loop that incorporates an image-based monitoring system into the printing process. This allows for real-time analysis for quality control and simultaneous incorpo- ration of coarse, composite powders. The overarching goal is to expand the possibility of binder jetting towards more diverse powder sources that would enable a circular economy and material reuse. This study investigates how coarser concrete powder and composite mixing ratios affect the printing process, thus laying the groundwork for the future use of hybrid materials instead of just using homogeneous standard powders. In this framework, image-based monitoring aids in more adaptive printing processes in addi- tive manufacturing, which will ultimately help us create 3D-printed structures that are produced with higher accuracy and sustainablility. These developments will also signifi- cantly impact 3D concrete printing in building applications, encouraging innovation and better performance in the additive manufacturing sector. |
| series |
ACADIA |
| type |
paper |
| email |
|
| full text |
 file.pdf (3,451,536 bytes) |
| references |
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