| About this Abstract |
| Meeting |
2023 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2023)
|
| Symposium
|
2023 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2023)
|
| Presentation Title |
Physical Validation of Job Placement Optimization in Cooperative 3D Printing |
| Author(s) |
Cole Mensch, Wenchao Zhou, Zhenghui Sha |
| On-Site Speaker (Planned) |
Cole Mensch |
| Abstract Scope |
Cooperative 3D printing (C3DP) is an emerging technology designed to overcome the limitations of traditional 3D printing, including speed and scalability. C3DP achieves this by partitioning prints into smaller jobs, e.g., chunks or line segments at each layer, and assigning them to a team of mobile 3D printers that work cooperatively in parallel. Our prior work established a framework for optimizing job placement by connecting geometric partitioning algorithms with path planning and scheduling algorithms. However, this framework was not physically validated. In this paper, we present the first physical validation of the job placement algorithm by chunking and printing two objects using the proposed algorithm. The objects used in the test cases vary in size and complexity, from a small and simple object to a large object with intricate geometry. We demonstrate that our optimized placement algorithm provides results comparable to the physical C3DP system, providing a significant step forward in the practical implementation of C3DP technology. |
| Proceedings Inclusion? |
Definite: Post-meeting proceedings |