Development of a Robotic System for Automated Decaking of 3D-Printed Parts

Autor:	Nguyen, Huy, Adrian, Nicholas, Yan, Joyce Lim Xin, Salfity, Jonathan M., Allen, William, Pham, Quang-Cuong
Rok vydání:	2020
Předmět:	Computer Science - Robotics
Druh dokumentu:	Working Paper
Popis:	With the rapid rise of 3D-printing as a competitive mass manufacturing method, manual "decaking" - i.e. removing the residual powder that sticks to a 3D-printed part - has become a significant bottleneck. Here, we introduce, for the first time to our knowledge, a robotic system for automated decaking of 3D-printed parts. Combining Deep Learning for 3D perception, smart mechanical design, motion planning, and force control for industrial robots, we developed a system that can automatically decake parts in a fast and efficient way. Through a series of decaking experiments performed on parts printed by a Multi Jet Fusion printer, we demonstrated the feasibility of robotic decaking for 3D-printing-based mass manufacturing. Comment: 7 pages, ICRA 2020
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2003.05115 Zobrazit plný text záznamu View this record from Arxiv