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Curved Foldable Tailored Fiber Reinforcements for Moldless Customized Bio-Composite Structures : Proof of Concept: Biomimetic NFRP Stools, , , , , , , und . Polymers, 12 (9): 2000 (2020)Influence of short carbon and glass fibers on the curing behavior and accuracy of photopolymers used in stereolithography, , und . Additive manufacturing, 42 (June): 102005 (2021)Object model data sets of the case study specimens for the computational co-design framework for coreless wound fibre-polymer composite structures, , , , , , , , , und 6 andere Autor(en). Dataset, (2023)Related to: Gil Pérez, M., Zechmeister, C., Kannenberg, F., Mindermann, P., Balangé, L., Guo, Y., Hügle, S., Gienger, A., Forster, D., Bischoff, M., Tarín, C., Middendorf, P., Schwieger, V., Gresser, G. T., Menges, A., Knippers, J.: 2022, Computational co-design framework for coreless wound fibre-polymer composite structures. Journal of Computational Design and Engineering, 9(2), pp. 310-329. doi: 10.1093/jcde/qwab081.Non-Destructive Monitoring of Damage in CFRP using Ultrasonic Birefringence, , , , und . ANTEC 2015 : proceedings of the technical conference & exhibition, Seite 583-590. (2015)Structural Optimization through Biomimetic-Inspired Material-Specific Application of Plant-Based Natural Fiber-Reinforced Polymer Composites (NFRP) for Future Sustainable Lightweight Architecture, , , , , und . Polymers, 12 (12): 3048 (2020)Bauphysikalische Untersuchung von Sandwichelementen, , , , und . Bauphysik, 41 (6): 314-323 (2019)Analysis on the mechanical response of composite pressure vessels during internal pressure loading: FE modeling and experimental correlation, , , , und . Composites. Part B, Engineering, 212 (May): 108550 (2021)Evaluation of UV post-curing depth for homogenous cross-linking of stereolithography parts, , und . Rapid prototyping journal, 27 (10): 1910-1916 (2021)Mechanical, Thermal and Electrical Properties of Epoxy Nanocomposites with Amine-Functionalized Reduced Graphene Oxide via Plasma Treatment, , , , , und . Journal of composites science, 6 (6): 153 (2022)Automation of LS-DYNA’s Material Model Driver for Generation of Training Data for Machine Learning based Material Models, , und . 13th European LS-DYNA Conference 2021, Ulm, Germany, Stuttgart, DYNAmore GmbH, (2021)