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Image based control system for improving fiber injection molding process

Moll, Patrick 1; Xu, Junjie 1,2; Coutandin, Sven 1; Fleischer, Jürgen 1
1 Institut für Produktionstechnik (WBK), Karlsruher Institut für Technologie (KIT)
2 Institut für Physikalische Chemie (IPC), Karlsruher Institut für Technologie (KIT)

Abstract:

Fiber injection molding is an innovative process for the resource-efficient production of near net-shape long fiber preforms. The filling of the mold is crucial for the repeatability and uniformity of the produced preforms. For improving the fiber injection process a control system based on image processing has been developed. With a camera the current mold filling is recorded and processed by artificial neural networks. This information on the filling state is used for an adaptive control of the injection nozzle. The control system is validated experimentally with results showing improved reproducibility of the fiber injection molding process.


Verlagsausgabe §
DOI: 10.5445/IR/1000153581
Veröffentlicht am 09.12.2022
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Physikalische Chemie (IPC)
Institut für Produktionstechnik (WBK)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2022
Sprache Englisch
Identifikator ISSN: 2212-8271
KITopen-ID: 1000153581
Erschienen in Procedia CIRP, 15th CIRP Conference on Intelligent Computation in ManufacturingEngineering, 14-16 July 2021, Ed.: R. Teti
Verlag Elsevier
Band 112
Seiten 430–435
Vorab online veröffentlicht am 22.09.2022
Schlagwörter Fiber injection molding, preforming, process control, image processing
Nachgewiesen in Dimensions
Scopus
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