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.
%0 Journal Article
%1 Gil_Perez_2022
%A Gil Pérez, M
%A Zechmeister, C
%A Kannenberg, F
%A Mindermann, P
%A Balangé, L
%A Guo, Y
%A Hügle, S
%A Gienger, A
%A Forster, D
%A Bischoff, M
%A Tarín, C
%A Middendorf, P
%A Schwieger, V
%A Gresser, G T
%A Menges, A
%A Knippers, J
%D 2022
%I Oxford University Press (OUP)
%J Journal of Computational Design and Engineering
%K myown intcdc ifb hügle rp11 ibb knippers 2022 rp13 gilperez rp12 isys forster itke gienger iigs menges guo from:martagilperez icd mindermann zechmeister gresser itft middendorf rp18 kannenberg balangé rp15 peer rp14 tarín schwieger bischoff
%N 2
%P 310--329
%R 10.1093/jcde/qwab081
%T Computational co-design framework for coreless wound fibre-polymer composite structures
%U https://doi.org/10.1093%2Fjcde%2Fqwab081
%V 9
%X 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.
@article{Gil_Perez_2022,
abstract = {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.},
added-at = {2022-02-28T17:50:46.000+0100},
author = {Gil Pérez, M and Zechmeister, C and Kannenberg, F and Mindermann, P and Balangé, L and Guo, Y and Hügle, S and Gienger, A and Forster, D and Bischoff, M and Tarín, C and Middendorf, P and Schwieger, V and Gresser, G T and Menges, A and Knippers, J},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/27c48666be6fcdb7103273a3867637352/intcdc},
doi = {10.1093/jcde/qwab081},
interhash = {d85bc6f54f1018989c61c91bfe7caa86},
intrahash = {7c48666be6fcdb7103273a3867637352},
journal = {Journal of Computational Design and Engineering},
keywords = {myown intcdc ifb hügle rp11 ibb knippers 2022 rp13 gilperez rp12 isys forster itke gienger iigs menges guo from:martagilperez icd mindermann zechmeister gresser itft middendorf rp18 kannenberg balangé rp15 peer rp14 tarín schwieger bischoff},
month = apr,
note = {M. Gil Perez and C. Zechmeister: first authors equal contribution. F. Kannenberg and P. Mindermann: second authors equal contribution.},
number = 2,
pages = {310--329},
publisher = {Oxford University Press ({OUP})},
timestamp = {2022-02-28T16:50:46.000+0100},
title = {Computational co-design framework for coreless wound fibre-polymer composite structures},
url = {https://doi.org/10.1093%2Fjcde%2Fqwab081},
volume = 9,
year = 2022
}