| 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 |
A 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, quality, and scalability. C3DP achieves this by partitioning prints into smaller chunks 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 has not been physically validated. In this paper, we present the physical validation of our job placement algorithm by chunking and printing three objects using both the proposed algorithm and random placement. These objects vary in size and complexity, from a small, simple object to a large object with intricate geometry. We demonstrate that our optimized placement algorithm improves the overall efficiency of the C3DP process, providing a significant step forward in the practical implementation of C3DP technology. |
| Proceedings Inclusion? |
Definite: Post-meeting proceedings |