Sensor-guided machining of large-scale CFRP components based on resin transfer molded features

Publikationstyp
Conference Paper
Date Issued
2023
Sprache
English
Author(s)
Muth, M.
Carstensen, P.
Hintze, Wolfgang  
Produktionsmanagement und -technik M-18  
Gnadt, S.
Brillinger, Christoph  
Möller, Christian  
Böhlmann, Christian  
TORE-URI
https://hdl.handle.net/11420/43695
First published in
Proceedings of SPIE  
Number in series
12618
Volume
12618
Article Number
1261809
Citation
Optical Measurement Systems for Industrial Inspection XIII (2023)
Contribution to Conference
Optical Measurement Systems for Industrial Inspection XIII 2023  
Publisher DOI
10.1117/12.2673830
Scopus ID
2-s2.0-85172658618
Publisher
SPIE
ISBN
978-1-5106-6446-3
978-1-5106-6445-6
Carbon fiber-reinforced Plastics (CFRP) are a key factor for achieving a carbon-neutral mobility sector due to their lightweight properties. Despite their near-net-shape manufacturing subsequent precision machining is required. In case of large-scale CFRP components, which are characterized by small quantities and low machining volumes, such processes are difficult to operate economically with conventional systems. Robotic systems offer a suitable solution. Their use in machining, however, requires additional measures to compensate for structural system limitations. In addition, individual deviations of the blanks require time-consuming measuring for referencing the machining system. To enable the use of cost-efficient robotic systems and to eliminate unproductive downtime for measuring, the intended manufacturing of CFRP components by Resin Transfer Molding (RTM) offers a new opportunity. RTM allows for the integration of defined features into the molding tool, which are reproduced inverted on the component and can be referenced by subsequent processes. This is utilized with adapted strategies for time-efficient measuring and high-precision machining. Fundamentals for the corresponding feature design as well as the selection of a suitable measuring device are presented. Focusing on laser-based sensors, the relationship between wavelength and (semi-)transparent surfaces is discussed and validated. Besides the metrological detection, production-specific aspects are also taken into account. Based on the gained knowledge, the main aspects of a proper sensor-feature combination are elaborated and prototypically realized. Finally, an outlook is provided on the challenges involved when implementing a robust algorithm for feature detection.
Subjects
feature based robot control
large-scale CFRP components
light-section sensor
optical CFRP properties
Resign Transfer Molding
resin features
robotic machining
sensor-guided machining
DDC Class
620: Engineering