id |
ecaade2024_361 |
authors |
Sochùrková, Petra; Devyatkina, Svetlana; Kordová, Sára; Vako, Imrich; Tsikoliya, Shota |
year |
2024 |
title |
Bioreceptive Parameters for Additive Manufacturing of Clay based Composites |
source |
Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 1, pp. 4554 |
doi |
https://doi.org/10.52842/conf.ecaade.2024.1.045
|
summary |
Due to climate change and the problematic amount of waste and CO2 emissions in the construction industry, non-human organisms and sustainable solutions are key motivators of the study. This paper focuses on developing a bioreceptive (Guillitte, 1995) composite suitable for additive manufacturing, composed to support growth of various organisms. It investigates key properties which have shown to be beneficial for promoting biological growth, such as water absorption, water permeability, humidity, and surface texture. The study evaluates the effect of two groups of clay-based waste additives, wooden sawdust (Arslan, et al., 2021) and sediment material sourced from local tunnel excavation in Prague. Simultaneously the need for intelligent reintegration and waste use is prevalent. Additive fabrication offers the ability to test a variety of composites and (re-)integrate them into the manufacturing processes. Current approach explores how to design artificial environments/skins for greenery and small life with the potential to improve both diversity and survivability while maintaining a better climate in its immediate surroundings. Bioreceptive design has the potential to improve the quality of the urban environment and bring new aesthetic influences into it (Cruz and Beckett 2016, p. 51-64). |
keywords |
Digital Design, Material Research, Bioreceptive Design, Robotic Fabrication, Additive Manufacturing, Experimental Pastes, Bio compatibility, Waste Materials, Clay Composites |
series |
eCAADe |
email |
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full text |
file.pdf (692,993 bytes) |
references |
Content-type: text/plain
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last changed |
2024/11/17 22:05 |
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