PHYSICAL VALIDATION OF JOB PLACEMENT OPTIMIZATION IN COOPERATIVE 3D PRINTING

dc.creatorMensch, Cole
dc.creatorZhou, Wenchao
dc.creatorSha, Zhenghui
dc.date.accessioned2024-03-26T21:37:31Z
dc.date.available2024-03-26T21:37:31Z
dc.date.issued2023
dc.description.abstractCooperative 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, and assigning them to a team of mobile 3D printers that work cooperatively in parallel allowing for autonomous additive manufacturing of large objects via a swarm-based system. 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.
dc.description.departmentMechanical Engineering
dc.identifier.urihttps://hdl.handle.net/2152/124422
dc.identifier.urihttps://doi.org/10.26153/tsw/51030
dc.language.isoen_US
dc.publisherUniversity of Texas at Austin
dc.relation.ispartof2023 International Solid Freeform Fabrication Symposium
dc.rights.restrictionOpen
dc.subjectjob placement
dc.subjectcooperative 3D printing
dc.subjectadditive manufacturing
dc.titlePHYSICAL VALIDATION OF JOB PLACEMENT OPTIMIZATION IN COOPERATIVE 3D PRINTING
dc.typeConference paper

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