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Simulation based draping of dry carbon fibre textiles with cooperating robots

Schuster, Alfons und Frommel, Christoph und Deden, Dominik und Brandt, Lars und Eckardt, Mona und Glück, Roland und Larsen, Lars-Christian (2019) Simulation based draping of dry carbon fibre textiles with cooperating robots. In: Procedia Manufacturing. 29th International Conference on Flexible Automation and Intelligent Manufacturing (FAIM2019), 2019-06-24 - 2019-06-28, Limerick, Irland. doi: 10.1016/j.promfg.2020.01.064. ISSN 2351-9789.

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Kurzfassung

Carbon fibre-reinforced plastic (CFRP) is a promising material for aircraft and other lightweight applications. To be competitive with low-cost metal based solutions highly effective and flexible production technologies are required. For this purpose production systems comprising automated fibre placement or automated tape laying technology are on the market for several years and widely spread. However, there is still a lack of automated systems capable of producing preforms efficiently and flexibly from textile semi-finished goods. Non-crimp fabrics (NCF) and weaves have to undergo considerable shear and reshaping during the layup of 3D-curved preforms in order to properly fit the 2D cut pieces to the moulds. At the Center for Lightweight Production Technology (ZLP) a digital and automated process for the easy draping of large NCF and weave cut pieces with several robots according to the previous draping simulation has been set up and tested in a robotic work cell. The details of converting the draping simulation into correct and easy to setup motions for cooperating robots and how to execute the entire process autonomously, i.e. without teaching the robots, are described. On the basis of preliminary tests the system’s capabilities on a large scale demonstrator part resembling an airplane’s rear pressure bulkhead are evaluated. An overview of the system’s architecture from simulation based planning to detecting, correct gripping, collision free autonomous transport and laydown of the cut pieces is also given.

elib-URL des Eintrags:https://elib.dlr.de/134057/
Dokumentart:Konferenzbeitrag (Vortrag)
Titel:Simulation based draping of dry carbon fibre textiles with cooperating robots
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Schuster, AlfonsAlfons.Schuster (at) dlr.dehttps://orcid.org/0000-0002-7444-366XNICHT SPEZIFIZIERT
Frommel, ChristophChristoph.Frommel (at) dlr.dehttps://orcid.org/0000-0002-3717-1087NICHT SPEZIFIZIERT
Deden, DominikDominik.Deden (at) dlr.dehttps://orcid.org/0000-0001-8959-8720NICHT SPEZIFIZIERT
Brandt, LarsLars.Brandt (at) dlr.dehttps://orcid.org/0009-0007-8608-0759140268990
Eckardt, Monamona.eckardt (at) dlr.dehttps://orcid.org/0000-0002-6262-2521NICHT SPEZIFIZIERT
Glück, RolandRoland.Glueck (at) dlr.dehttps://orcid.org/0000-0001-7909-1942NICHT SPEZIFIZIERT
Larsen, Lars-Christianlars-christian.larsen (at) dlr.dehttps://orcid.org/0000-0002-4450-8581NICHT SPEZIFIZIERT
Datum:Juni 2019
Erschienen in:Procedia Manufacturing
Referierte Publikation:Ja
Open Access:Ja
Gold Open Access:Nein
In SCOPUS:Ja
In ISI Web of Science:Nein
DOI:10.1016/j.promfg.2020.01.064
Name der Reihe:Procedia Manufacturing
ISSN:2351-9789
Status:veröffentlicht
Stichwörter:Cooperating robots; autonomous production; digital process chain; computer vison in manufacturing
Veranstaltungstitel:29th International Conference on Flexible Automation and Intelligent Manufacturing (FAIM2019)
Veranstaltungsort:Limerick, Irland
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:24 Juni 2019
Veranstaltungsende:28 Juni 2019
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Luftfahrt
HGF - Programmthema:Flugzeuge
DLR - Schwerpunkt:Luftfahrt
DLR - Forschungsgebiet:L AR - Aircraft Research
DLR - Teilgebiet (Projekt, Vorhaben):L - Strukturen und Werkstoffe (alt)
Standort: Augsburg
Institute & Einrichtungen:Institut für Bauweisen und Strukturtechnologie > Automation und Produktionstechnologie
Hinterlegt von: Schuster, Dr.-Ing. Alfons
Hinterlegt am:13 Feb 2020 13:53
Letzte Änderung:24 Apr 2024 20:37

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