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

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 automat...

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Bibliographic Details
Main Authors: Nguyen, Huy, Adrian, Nicholas, Xin Yan, Joyce Lim, Salfity, Jonathan M., Allen, William, Pham, Quang-Cuong
Format: Conference Proceeding
Language:English
Subjects:
3D-printing
Cleaning
decaking
deep learning
Force control
manipulation
Powders
Service robots
system design
Task analysis
Three-dimensional displays
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Summary: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.
ISSN:2577-087X
DOI:10.1109/ICRA40945.2020.9197110