Title: Online-Correction of Robot-Guided Fused Deposition Modeling
Authors: Mewes, Gian
Fay, Alexander 
Language: eng
Subject (DDC): 620 Ingenieurwissenschaften
Issue Date: 2020
Publisher: ASME
Document Type: Conference Object
Page Start: 1
Page End: 6
Published in (Book): 2020 International Symposium on Flexible Automation: Proceedings
Publisher Place: New York
Conference: ASME International Symposium on Flexible Automation (ISFA), Chicago, 05.-09. Juli 2020
In this paper, a method for online monitoring and correcting robot-guided fused deposition modeling is presented. For development a six-axis industrial robot was equipped with a 3D printing nozzle and used for 3D printing. Additionally, two laser line sensors were mounted next to the printing nozzle at the robot’s flange for capturing process data. By comparing CAD planning data to a point cloud of a workpiece printed with the robot, the measuring accuracy of the system is presented. For online monitoring and correcting, the measurement data of those sensors are analyzed for the unique structure of the edge of the currently printed layer. By detecting this edge, relevant process parameters are identified and compared with the planning data. Based on this comparison, corrections are derived and used for adjusting the robot’s trajectory. Furthermore, a concept for generating comparative measurement data in a simulation environment is presented.
Organization Units (connected with the publication): Automatisierungstechnik 
Publisher DOI: 10.1115/ISFA2020-9615
Appears in Collections:3 - Reported Publications

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