Human-Robot-Collaboration in the Final Aircraft Assembly

Ein intelligentes Assistenzsystem für das mechanische Fügen in der manuellen Montage

Frederik Schmatz, Jens Meißner, Jan Sender, Wilko Flügge, Eugen Gorr
JournalIndustrie 4.0 Management
Issue Volume 35, 2019, Edition 1, Pages 19-22
Open Accesshttps://doi.org/10.30844/I40M_19-1_S19-22
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Abstract

A newly developed hand guided collaborative robot system will be used for manual mechanical joining process in the final assembly of aircrafts. The tool can be moved quickly and precisely to reach all joining positions avoiding physical effort for the operator. Special focus was given on the integrated handling of the entire system. The interlinked sensory of all subsystems ensures a smart control of the system. A mobile device was implemented to increase the usability and to foster the employees’ acceptance of the solution. It enables significantly improved process documentation, reproducibility and transparency.

Keywords

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Bibliography

[1] DVS – Deutscher Verband für Schweißen und Verwandte Verfahren e.V., EFB Europäische Forschungsgesellschaft für Blechverarbeitung e.V., Merkblatt DVS/EFB 3410, Stanznieten – Überblick. Düsseldorf 2014.
[2] Jäckel, M.; Falk, T.; Landgrebe, D.; Concept for Further Development of Self-pierce Riveting by Using Cyber Physical Systems, Procedia CIRP 44 (2016), S. 293-297.
[3] DIN Deutsches Institut für Normung e. V., DIN EN ISO 10218-1:2011, Industrieroboter – Sicherheitanforderungen – Teil 1: Roboter. Berlin 2012.
[4] DIN Deutsches Institut für Normung e. V., DIN EN ISO 10218-2:2011, Industrieroboter – Sicherheitsanforderungen – Teil 2: Robotersysteme und Integration. Berlin 2012.
[5] Meißner, J.; Schmatz, F.; Beuß, F.; Sender, J.; Flügge, W.; Gorr, E.: Smart Human-Robot-Col- laboration, Procedia Manufacturing 24 (2018), S. 264-270.
[6] Massa, D.; Callegari, M.; Cristal- li, C.: Manual guidance for industrial robot programming, Industrial Robot 42 (2015) 5, S. 457-465.
[7] Rodamilans, G. B.; Villani, E.; Trabasso, L. G.; Oliveira, W. R. d.; Suterio, R.: A comparison of industrial robots interface: Force guidance system and teach pendant operation, Industrial Robot 43 (2016) 5, S. 552-562.

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