id |
ecaade2022_385 |
authors |
Zheng, Shuyuan, Velho, Avantika, Ross, Kate, Chen, Hongshun, Li, Ling and Zolotovsky, Katia |
year |
2022 |
title |
Self-Cleaning Surface Architectures from Chitin Biomaterials - Computational and experimental methodology |
doi |
https://doi.org/10.52842/conf.ecaade.2022.1.091
|
source |
Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 1, Ghent, 13-16 September 2022, pp. 91–100 |
summary |
The current pandemic and the climate crisis urge people to rethink their relationships to the natural and urban environments. In this research we turned to nature for inspiration to find new ways to keep human environments clean and healthy. This paper presents a computational and experimental methodology to design self-cleaning architectural surfaces from chitin biomaterial modeled after butterfly wings. We fabricate surface architectures using parametric modeling, 3d printing, and molding of chitin biomaterial, and assess their performance using mechanical testing, experimental and computational simulations. The goal is to provide an alternative to hydrophobic fossil fuel-based plastics using surface morphologies of biomaterials to achieve structural rigidity and self- cleaning properties in architectural surfaces. |
keywords |
Material-based Design, Parametric Design, Digital Fabrication, Biomaterials, Computational Simulation, Hydrophobicity, Biomimicry |
series |
eCAADe |
email |
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full text |
file.pdf (2,039,999 bytes) |
references |
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last changed |
2024/04/22 07:10 |
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