Robotic Depowdering for Additive Manufacturing Via Pose Tracking
Liu, Zhenwei, Geng, Junyi, Dai, Xikai, Swierzewski, Tomasz, Shimada, Kenji
–arXiv.org Artificial Intelligence
With the rapid development of powder-based additive manufacturing, depowdering, a process of removing unfused powder that covers 3D-printed parts, has become a major bottleneck to further improve its productiveness. Traditional manual depowdering is extremely time-consuming and costly, and some prior automated systems either require pre-depowdering or lack adaptability to different 3D-printed parts. To solve these problems, we introduce a robotic system that automatically removes unfused powder from the surface of 3D-printed parts. The key component is a visual perception system, which consists of a pose-tracking module that tracks the 6D pose of powder-occluded parts in real-time, and a progress estimation module that estimates the depowdering completion percentage. The tracking module can be run efficiently on a laptop CPU at up to 60 FPS. Experiments show that our depowdering system can remove unfused powder from the surface of various 3D-printed parts without causing any damage. To the best of our knowledge, this is one of the first vision-based robotic depowdering systems that adapt to parts with various shapes without the need for pre-depowdering.
arXiv.org Artificial Intelligence
Sep-4-2022
- Country:
- North America > United States > Pennsylvania > Allegheny County > Pittsburgh (0.14)
- Genre:
- Research Report (0.40)
- Industry:
- Machinery > Industrial Machinery (1.00)
- Technology: