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 2022 balangé bischoff fiber forster gienger gilperez gresser guo hügle ibb icd ifb iigs intcdc isys itft itke kannenberg knippers menges middendorf mindermann myown peer rp11 rp12 rp13 rp14 rp15 rp18 schwieger tarín zechmeister
%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/martagilperez},
doi = {10.1093/jcde/qwab081},
interhash = {d85bc6f54f1018989c61c91bfe7caa86},
intrahash = {7c48666be6fcdb7103273a3867637352},
journal = {Journal of Computational Design and Engineering},
keywords = {2022 balangé bischoff fiber forster gienger gilperez gresser guo hügle ibb icd ifb iigs intcdc isys itft itke kannenberg knippers menges middendorf mindermann myown peer rp11 rp12 rp13 rp14 rp15 rp18 schwieger tarín zechmeister},
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 = {2022-03-04T14:34:42.000+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
}