Our paper entitled "Computational co-design framework for coreless wound fibre-polymer composite structures" received the Best Publication Award at the annual IntCDC Status Seminar. The IntCDC Best Publication Award recognises up to two excellent publications per year to honour and strengthen early academic independence and dedication to academic work. It is endowed with €1,500 each.
Marta Gil Pérez, Christoph Zechmeister, Fabian Kannenberg, Pascal Mindermann, Laura Balangé, Yanan Guo, Sebastian Hügle, Andreas Gienger, David Forster, Manfred Bischoff, Cristina Tarín, Peter Middendorf, Volker Schwieger, Götz T. Gresser, Achim Menges and Jan Knippers. Journal of Computational Design and Engineering, 9(2), 310-329. DOI: 10.1093/jcde/qwab081
In coreless filament winding, resin-impregnated fibre filaments are wound around anchor points without an additional mould. The final geometry of the produced part results from the interaction of fibres in space and is initially undetermined. Therefore, the success of large-scale coreless wound fibre composite structures for architectural applications relies on the reciprocal collaboration of simulation, fabrication, quality evaluation, and data integration domains. The correlation of data from those domains enables the optimization of the design towards ideal performance and material efficiency. This paper elaborates on a computational co-design framework to enable new modes of collaboration for coreless wound fibre–polymer composite structures. It introduces the use of a shared object model acting as a central data repository that facilitates interdisciplinary data exchange and the investigation of correlations between domains. The application of the developed computational co-design framework is demonstrated in a case study in which the data are successfully mapped, linked, and analysed across the different fields of expertise. The results showcase the framework’s potential to gain a deeper understanding of large-scale coreless wound filament structures and their fabrication and geometrical implications for design optimization.
More information can be found here and on the IntCDC website.