Beyond developable: computational design and fabrication with auxetic materials
- Submitting institution
-
Cardiff University / Prifysgol Caerdydd
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 96926356
- Type
- D - Journal article
- DOI
-
10.1145/2897824.2925944
- Title of journal
- ACM Transactions on Graphics
- Article number
- 89
- First page
- -
- Volume
- 35
- Issue
- 4
- ISSN
- 0730-0301
- Open access status
- Technical exception
- Month of publication
- July
- Year of publication
- 2016
- URL
-
http://dx.doi.org/10.1145/2897824.2925944
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
5
- Research group(s)
-
V - Visual computing
- Citation count
- 54
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work was presented as a technical paper in SIGGRAPH 2016 (https://lgg.epfl.ch/publications/2016/BeyondDevelopable/index.php) and was covered by tech media including WIRED (https://www.wired.com/2016/08/2058906/) and TechCrunch (http://tcrn.ch/29Vx8Wk). It proposed the first computational tool for designing free-form 3D shapes that can be realised using auxetic materials. Previously such materials were only used to realise simple shapes such as planes and spheres, due to the lack of effective design tools. Our method takes an arbitrary 3D shape as input, and generates an output shape that approximates the input and is formed using auxetic materials.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -