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  4. Referencing strategies for high accuracy machining of large aircraft components with mobile robotic systems
 
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Referencing strategies for high accuracy machining of large aircraft components with mobile robotic systems

Publikationstyp
Journal Article
Date Issued
2017-09-19
Sprache
English
Author(s)
Susemihl, Hendrik  
Brillinger, Christoph  
Stürmer, Sven Philipp von  
Hansen, Stephan  
Böhlmann, Christian  
Kothe, Simon M.  
Wollnack, Jörg  
Hintze, Wolfgang  
Institut
Produktionsmanagement und -technik M-18  
TORE-URI
http://hdl.handle.net/11420/3604
Journal
SAE technical papers  
Volume
Part F129883
Issue
September
Citation
SAE Technical Papers September (Part F129883): (2017-09-19)
Contribution to Conference
SAE AeroTech Congress and Exhibition, AEROTECH 2017  
Publisher DOI
10.4271/2017-01-2166
Scopus ID
2-s2.0-85028984251
Publisher
Soc.
The demand for higher production rates in aircraft industry requests more flexible manufacturing solutions. A bottleneck in production is the machining of large components by vast portal machines. Time-consuming referencing processes result in non-satisfying cost-effectiveness of these high-invest-machines. Mobile robot-based solutions are able to operate simultaneously which increases the productivity significantly. However, due to the limited workspace of robots, machining tasks have to be divided and long trajectories are separated in single overlapping segments. Thus high-accuracy referencing strategies are required to achieve desired production tolerances. In this publication different advanced optical reference strategies will be discussed taking the inhomogeneous behavior of a mobile robotic machining system into account. Investigations on the absolute positioning and the machining accuracy will show the impact of different referencing strategies on sub-scale machining especially for large work spaces.
DDC Class
600: Technik
More Funding Information
Parts of the present work are conducted with support of the Lower Saxony Ministry of Economics and the N-Bank within the project ProsihP II (ZW 3-80140004) led by Airbus Operations GmbH.
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