| Title |
Bottom-up generative up-cycling: a part based design study with genetic algorithms |
| ID_Doc |
7605 |
| Authors |
Zirek, S |
| Title |
Bottom-up generative up-cycling: a part based design study with genetic algorithms |
| Year |
2023 |
| Published |
|
| DOI |
10.1016/j.rineng.2023.101099 |
| Abstract |
While describing up-cycling as a problem of fitting a set of existing/used materials into a new design, this paper utilises genetic algorithm (GA) and tree forks to exercise design in limited material inventories. It presents a bottom-up generative approach aiming to increase the applicability of up-cycling by reducing the material selectivity. The paper presents two scenarios: the first based on the tree forks being sourced from a single tree and the second utilising waste material, namely tree forks collected from a forest floor. It studies GAs incorporating material dimensions and fabrication constraints from an earlier stage of design to amplify the morphological involvement of these elements and to create a bottom-up generative system. The paper utilises waste material without a prior selection and without changing or deforming their unique geometries to minimise fabrication energy consumption. It presents a fabricated table leg structure made of ten forks. |
| Author Keywords |
Tree forks; Genetic algorithms; Generative design; Minimising waste; Sustainability; Material up-cycling; Material-availability-informed design; Circular economy |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Emerging Sources Citation Index (ESCI) |
| EID |
WOS:000990015600001 |
| WoS Category |
Engineering, Multidisciplinary |
| Research Area |
Engineering |
| PDF |
https://doi.org/10.1016/j.rineng.2023.101099
|