| id |
ecaade2018_255 |
| authors |
Danesh, Foroozan, Baghi, Ali and Kalantari, Saleh |
| year |
2018 |
| title |
Programmable Paper Cutting - A Method to Digitally Fabricate Transformable, Complex Structural Geometry |
| doi |
https://doi.org/10.52842/conf.ecaade.2018.2.489
|
| source |
Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 489-498 |
| summary |
This paper presents a computational approach to generating architectural forms for large spanning structures based on a "paper-cutting" technique. Using this approach, a flat sheet is cut and scored in such a way that a small application of force prompts it to expand into a three-dimensional structure. Our computational system can be used to estimate optimal cutting patterns and to predict the resulting structural characteristics, thereby providing greater rigor to what has previously been an ad-hoc and experimental design approach. To develop the model, we analyzed paper-cutting techniques, extracted the relevant formative parameters, and created a simulation using finite element analysis. We then used a data-mining approach through 400 simulations and applied a regression analysis to create a prediction model. Given a small number of input variables from the designer, this model can rapidly and precisely predict the transformation volume of a paper-cutting pattern. Additional structural characteristics will be modelled in future work. The use of this tool makes paper-cut design approaches more practical by changing a non-systematic, labor-intensive design process into a more precise and efficient one. |
| keywords |
Paper-cut?; Transformable geometry; Design method; Model prediction; Data mining; Regression analysis |
| series |
eCAADe |
| email |
|
| full text |
 file.pdf (10,120,931 bytes) |
| references |
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