Abstract
This paper presents the prototyping of new methods by which functionally gradedmaterials can be specified and produced. The paper presents a case studyexploring how machine learning can be used to train a model in order to predictfabrication files from formalised design requirements. By using knit as a modelfor material fabrication, the paper outlines the making of new cyclical designmethods employing machine learning in which simpler prototypical materials actsas input for more complex graded materials. A case study - Ombre - showcasesthe implementation of this workflow and results and perspectives are discussed.
Original language | English |
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Title of host publication | Architecture in the Age of the 4th Industrial Revolution : Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019 |
Editors | José Pedro Sousa, Joäo Pedro Xavier, Goncalo Castro Henriques |
Number of pages | 10 |
Place of Publication | Porto |
Publication date | 2019 |
Pages | 485-494 |
Article number | 150 |
Publication status | Published - 2019 |
Event | eCAADe: Architecture in the Age of the 4th Industrial Revolution - University of Porto (FAUP), Faculty of Architecture, Porto, Portugal Duration: 11 Sept 2019 → 13 Sept 2019 https://ecaadesigradi2019.arq.up.pt/ |
Conference
Conference | eCAADe |
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Location | University of Porto (FAUP), Faculty of Architecture |
Country/Territory | Portugal |
City | Porto |
Period | 11/09/2019 → 13/09/2019 |
Internet address |
Series | ECAADE SIGRADI 2019 Architecture in the age of the 4th Industrial revolution |
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Keywords
- computational design
- material specification
- machine learning
- convolution algorithm
- knit
Artistic research
- No