TY - GEN
T1 - Support Generation for Robot-Assisted 3D Printing with Curved Layers
AU - Zhang, Tianyu
AU - Huang, Yuming
AU - Kukulski, Piotr
AU - Dutta, Neelotpal
AU - Fang, Guoxin
AU - Wang, Charlie C.L.
N1 - Funding Information:
1All authors are with the Department of Mechanical, Aerospace and Civil Engineering, University of Manchester, Manchester. †Corresponding Author: changling.wang@manchester.ac.uk This work was partially supported by the chair professorship fund of the University of Manchester.
Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Robot-assisted 3D printing has drawn a lot of attention by its capability to fabricate curved layers that are optimized according to different objectives. However, the support generation algorithm based on a fixed printing direction for planar layers cannot be directly applied for curved layers as the orientation of material accumulation is dynamically varied. In this paper, we propose a skeleton-based support generation method for robot-assisted 3D printing with curved layers. The support is represented as an implicit solid so that the problems of numerical robustness can be effectively avoided. The effectiveness of our algorithm is verified on a dual-material printing platform that consists of a robotic arm and a newly designed dual-material extruder. Experiments have been successfully conducted on our system to fabricate a variety of freeform models.
AB - Robot-assisted 3D printing has drawn a lot of attention by its capability to fabricate curved layers that are optimized according to different objectives. However, the support generation algorithm based on a fixed printing direction for planar layers cannot be directly applied for curved layers as the orientation of material accumulation is dynamically varied. In this paper, we propose a skeleton-based support generation method for robot-assisted 3D printing with curved layers. The support is represented as an implicit solid so that the problems of numerical robustness can be effectively avoided. The effectiveness of our algorithm is verified on a dual-material printing platform that consists of a robotic arm and a newly designed dual-material extruder. Experiments have been successfully conducted on our system to fabricate a variety of freeform models.
UR - http://www.scopus.com/inward/record.url?scp=85168682095&partnerID=8YFLogxK
U2 - 10.1109/ICRA48891.2023.10161432
DO - 10.1109/ICRA48891.2023.10161432
M3 - Conference contribution
AN - SCOPUS:85168682095
T3 - Proceedings - IEEE International Conference on Robotics and Automation
SP - 12338
EP - 12344
BT - Proceedings - ICRA 2023
PB - IEEE
T2 - 2023 IEEE International Conference on Robotics and Automation, ICRA 2023
Y2 - 29 May 2023 through 2 June 2023
ER -