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A 3D process simulation model for wet compression moulding

Poppe, Christian T. ORCID iD icon 1,2; Krauß, Constantin 1,2; Albrecht, Fabian 1,2; Kärger, Luise ORCID iD icon 1,2
1 Lichttechnisches Institut (LTI), Karlsruher Institut für Technologie (KIT)
2 Institut für Fahrzeugsystemtechnik (FAST), Karlsruher Institut für Technologie (KIT)

Abstract:

Wet Compression Moulding (WCM) provides large-scale production potential for continuously fibre-reinforced structural components due to simultaneous infiltration and draping during moulding. Due to thickness-dominated infiltration of the laminate, comparatively low cavity pressures are sufficient - a considerable economical advantage. Similar to other Liquid Compression Moulding (LCM) processes, forming and infiltration strongly interact during process. However, the degree of forming is much higher in WCM, which disqualifies a sequential modelling approach. This is demonstrated in this work via experimental characterisation of the interaction between compaction and permeability of a woven fabric and by trials with a transparent double dome geometry, which facilitates an in situ visualization of fluid progression during moulding. In this light, and in contrast to existing form filling approaches, a forming-inspired, three-dimensional process simulation approach is presented containing two fully-coupled macroscopic forming and fluid-submodels. The combined model is successfully benchmarked using experimental double dome trials with transparent tooling.


Verlagsausgabe §
DOI: 10.5445/IR/1000131873
Veröffentlicht am 30.04.2021
Originalveröffentlichung
DOI: 10.1016/j.compositesa.2021.106379
Scopus
Zitationen: 16
Web of Science
Zitationen: 9
Dimensions
Zitationen: 11
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Fahrzeugsystemtechnik (FAST)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 1359-835X, 1878-5840
KITopen-ID: 1000131873
Erschienen in Composites Part A: Applied Science and Manufacturing
Verlag Elsevier
Band 145
Seiten Art.-Nr.: 106379
Nachgewiesen in Scopus
Dimensions
Web of Science
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