Development of a Robotic System for Automated Decaking of 3D-Printed Parts
Huy Nguyen, Nicholas Adrian, Joyce Lim Xin Yan, Jonathan M. Salfity, William Allen, Quang-Cuong Pham
Abstract
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.
BibTeX
@inproceedings{icra2020_developmentofaro,
title = {Development of a Robotic System for Automated Decaking of 3D-Printed Parts},
author = {Huy Nguyen and Nicholas Adrian and Joyce Lim Xin Yan and Jonathan M. Salfity and William Allen and Quang-Cuong Pham},
booktitle = {ICRA 2020},
year = {2020}
}