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Integral quality assurance method for a CFRP aircraft fuselage skin: Gap and overlap measurement for thermoplastic AFP

Mayer, Monika und Schuster, Alfons und Brandt, Lars und Deden, Dominik und Fischer, Frederic (2023) Integral quality assurance method for a CFRP aircraft fuselage skin: Gap and overlap measurement for thermoplastic AFP. Springer Nature Switzerland. 32nd International Conference on Flexible Automation and Intelligent Manufacturing, 2023-06-19 - 2023-06-22, Porto, Portugal. doi: 10.1007/978-3-031-38241-3.

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Kurzfassung

Manufacturing carbon reinforced plastics with Automated Fiber Placement (AFP) is a widely adopted process despite inherently introduced defects of gaps and overlaps during the manufacturing process. Gaps and overlaps are usually cured during the consolidation process if limited to a certain size, otherwise they will lower mechanical properties of the component. Thus, gaps and overlaps have to be detected and measured especially in a thermoplastic process without a final consolidation step. For this purpose, a quality assurance sensor, based on laser triangulation, is integrated into a thermoplastic AFP machine mounted on a robot. For this paper the data recording and evaluation comprises a full-scale thermoplastic fuselage half shell with 8 m length and a diameter of 4 m. A Computer Vision pipeline extracts and quantifies the gap and overlap defects. The paper compares multiple visualization approaches of the results to showcase their advantages for various stages of component design and production. By illustrating the gaps and overlaps in a 3D graphic, precise localization of out of tolerance defects can be determined to adjust process parameters during production. Preconditions for simulation tools can be defined by summarizing all defects in a 2D heatmap, to improve variable stiffness properties for example.

elib-URL des Eintrags:https://elib.dlr.de/199294/
Dokumentart:Konferenzbeitrag (Vortrag)
Titel:Integral quality assurance method for a CFRP aircraft fuselage skin: Gap and overlap measurement for thermoplastic AFP
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Mayer, MonikaMonika.Mayer (at) dlr.dehttps://orcid.org/0000-0002-4448-9501147715593
Schuster, AlfonsAlfons.Schuster (at) dlr.dehttps://orcid.org/0000-0002-7444-366XNICHT SPEZIFIZIERT
Brandt, LarsLars.Brandt (at) dlr.dehttps://orcid.org/0009-0007-8608-0759147715595
Deden, Dominikdominik.deden (at) dlr.dehttps://orcid.org/0000-0001-8959-8720NICHT SPEZIFIZIERT
Fischer, FredericFrederic.Fischer (at) dlr.dehttps://orcid.org/0000-0001-5421-4336NICHT SPEZIFIZIERT
Datum:Juli 2023
Referierte Publikation:Ja
Open Access:Nein
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
DOI:10.1007/978-3-031-38241-3
Verlag:Springer Nature Switzerland
Name der Reihe:Flexible Automation and Intelligent Manufacturing: Establishing Bridges for More Sustainable Manufacturing Systems
Status:veröffentlicht
Stichwörter:thermoplastic composites, laser triangulation sensor, inline quality assurance, tape placement sensor, data evaluation
Veranstaltungstitel:32nd International Conference on Flexible Automation and Intelligent Manufacturing
Veranstaltungsort:Porto, Portugal
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:19 Juni 2023
Veranstaltungsende:22 Juni 2023
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Luftfahrt
HGF - Programmthema:Komponenten und Systeme
DLR - Schwerpunkt:Luftfahrt
DLR - Forschungsgebiet:L CS - Komponenten und Systeme
DLR - Teilgebiet (Projekt, Vorhaben):L - Strukturwerkstoffe und Bauweisen
Standort: Augsburg
Institute & Einrichtungen:Institut für Bauweisen und Strukturtechnologie > Automation und Produktionstechnologie
Hinterlegt von: Mayer, Monika
Hinterlegt am:29 Nov 2023 14:55
Letzte Änderung:24 Apr 2024 20:59

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