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Vision-guided robotic automation of vat polymerization additive manufacturing production: design, calibration and verification

Authors :
Wenzhen Yang
Johan K. Crone
Claus R. Lønkjær
Macarena Mendez Ribo
Shuo Shan
Flavia Dalia Frumosu
Dimitrios Papageorgiou
Yu Liu
Lazaros Nalpantidis
Yang Zhang
Source :
Journal of Intelligent Manufacturing and Special Equipment, Vol 4, Iss 2, Pp 85-98 (2023)
Publication Year :
2023
Publisher :
Emerald Publishing, 2023.

Abstract

Purpose – This study aims to present a vision-guided robotic system design for application in vat photopolymerization additive manufacturing (AM), enabling vat photopolymerization AM hybrid with injection molding process. Design/methodology/approach – In the system, a robot equipped with a camera and a custom-made gripper as well as driven by a visual servoing (VS) controller is expected to perceive objective, handle variation, connect multi-process steps in soft tooling process and realize automation of vat photopolymerization AM. Meanwhile, the vat photopolymerization AM printer is customized in both hardware and software to interact with the robotic system. Findings – By ArUco marker-based vision-guided robotic system, the printing platform can be manipulated in arbitrary initial position quickly and robustly, which constitutes the first step in exploring automation of vat photopolymerization AM hybrid with soft tooling process. Originality/value – The vision-guided robotic system monitors and controls vat photopolymerization AM process, which has potential for vat photopolymerization AM hybrid with other mass production methods, for instance, injection molding.

Details

Language :
English
ISSN :
20230001, 2633660X, and 26336596
Volume :
4
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Journal of Intelligent Manufacturing and Special Equipment
Publication Type :
Academic Journal
Accession number :
edsdoj.7704ec8df79348da89ab7e23e405e32a
Document Type :
article
Full Text :
https://doi.org/10.1108/JIMSE-01-2023-0001/full/pdf