4D printed tunable mechanical metamaterials with shape memory operations
- Submitting institution
-
Nottingham Trent University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 1 - 912416
- Type
- D - Journal article
- DOI
-
10.1088/1361-665x/ab0b6b
- Title of journal
- Smart Materials and Structures
- Article number
- 45019
- First page
- -
- Volume
- 28
- Issue
- 4
- ISSN
- 0964-1726
- Open access status
- Compliant
- Month of publication
- March
- Year of publication
- 2019
- URL
-
-
- 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
-
1
- Research group(s)
-
A - Imaging, Materials and Engineering Centre
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This research received Vice-Chancellor’s Discretionary Funds from CUHK-T-Stone Robotics Institute (£40k, ID:4930762) and established proof-of-concept for an equipment grant by Nottingham Trent University (£60k). As a result of this output the first author was invited to edit a special issue in Applied Sciences Journal (“3D-printed Soft Robots and 4D printing: Modeling, Fabrication, and Control”). The International Young Scientist Forum on Smart Manufacturing and Artificial Intelligence funded this research to be showcased at Northwest-Polytechnic University (July 2019, £10k), and the paper underpinned a grant application for collaboration through the Newton match scheme (NIF\R1\202982).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -