Our latest research entitled SELF-SHAPING TEXTILES – A material platform for digitally designed, material-informed surface elements, in collaboration with Dr. Lorenzo Guiducci (Matters of Activity. Image Space Material, Cluster of Excellence at Humboldt-Universität zu Berlin) has been published at the eCAADe 2020 conference.
Full paper is available here.
BIO DATA / BIO TECTONICS FOR ARCHITECTURAL DESIGN
SELF-SHAPING TEXTILES – a material platform for digitally designed, material-informed surface elements
Keywords: self-shaping textiles, material form-finding, wrinkling, surface instabilities, bio-inspired design, leaf morphogenesis
Abstract: Despite the cutting edge developments in science and technology, architecture toa large extent still tends to favor form over matter by forcing materials intopredefined, often superficial geometries, with functional aspects relegated tomaterials or energy demanding mechanized systems. Biomaterials research hasinstead shown a variety of physical architectures in which form and matter areintimately related (Fratzl, Weinkamer, 2007). We take inspiration from themorphogenetic processes taking place in plants’ leaves (Sharon et al., 2007),where intricate three-dimensional surfaces originate from in-plane growthdistributions, and propose the use of 3D printing on pre-stretched textiles(Tibbits, 2017) as an alternative, material-based, form-finding technique. We 3Dprint open fiber bundles, analyze the resulting wrinkling phenomenon and use itas a design strategy for creating three-dimensional textile surfaces. As additivemanufacturing becomes more and more affordable, materials more intelligentand robust, the proposed form-finding technique has a lot of potential fordesigning efficient textile structures with optimized structural performance andminimal usage of material.
Kycia A., Guiducci L. (2020): Self-shaping textiles – a material platform for digitally designed, material-informed surface elements, Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age – Proceedings of the 38th eCAADe Conference – Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 21-30 @ eCAADe2020, ISBN: 978-9-49120-721-1 (Volume 2)
