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TY  - THES
AU  - Kilian, Benedikt Heiko
TI  - Optimierung der Produktivität des Polyurethan-Pultrusionsprozesses
VL  - 330
PB  - RWTH Aachen University
VL  - Dissertation
CY  - Aachen
M1  - RWTH-2023-05486
SN  - 978-3-95886-479-5
T2  - IKV-Berichte aus der Kunststoffverarbeitung
SP  - 1 Online-Ressource : Illustrationen, Diagramme
PY  - 2023
N1  - Druckausgabe: 2023. - Auch veröffentlicht auf dem Publikationsserver der RWTH Aachen University
N1  - Dissertation, RWTH Aachen University, 2022
AB  - Wider use of profiles made from continuous fiber-reinforced plastics presupposes greater industrialization of the pultrusion process, which in particular requires a further increase in production speed without reducing component quality or process stability. Due to the resulting reduced time for the impregnation of the reinforcing fibers and for the curing of the reactive resin, as well as the tendency towards increasing pull force, there is a need for research with regard to an optimized injection box geometry, an optimized heating strategy and for reducing the resulting pull force. Against this background, the present work contributes to the fundamental understanding of the pultrusion process. It is investigated how the impregnation, curing and emergence of the pull force can be improved at high pultrusion speeds. Based on the results of experiments with an injection box with a variable opening angle, an injection box geometry can be specified that ensures process stability and consistent part properties over a wide range of process speeds. In addition, it is shown that reducing the opening angle is the decisive lever for achieving a higher impregnation pressure. However, this requires a correspondingly stiff mold design and at the same time tends to result in a greater pull force. In conjunction with optimized mold temperatures identified with the aid of machine learning models and various optimization algorithms, production speed can theoretically be increased by 35
LB  - PUB:(DE-HGF)11 ; PUB:(DE-HGF)3
DO  - DOI:10.18154/RWTH-2023-05486
UR  - https://publications.rwth-aachen.de/record/958933
ER  -