The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Investigating the shape memory properties of 4D printed polylactic acid (PLA) and the concept of 4D printing onto nylon fabrics for the creation of smart textiles
Abstract
3D printing is an ever growing industry that provides many benefits to the advanced manufacturing and design industry. However, parts tend to be static, rigid, and lack multi-purpose use. Recently, a new technology has emerged that uses 3D printing to print parts with the ability to change shape over time when exposed to different external stimuli. This new technology has been called 4D printing. Creation of a new material that is capable of changing shape when exposed to different stimuli and possess the ability to be 3D printed can be a difficult and a long process. Due to this strenuous process, the potential of a common fused deposition modelling material, poly(lactic) acid (PLA), for use in 4D printing is investigated and the concept of combining PLA with nylon fabric for the creation of smart textiles is explored. PLA possesses thermal shape memory behaviour and maintains these abilities when combined with nylon fabric that can be thermomechanically trained into temporary shapes and return to their permanent shapes when heated.
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Cites
Sydney Gladman, A., Matsumoto, E. A., Nuzzo, R. G., Mahadevan, L., & Lewis, J. A. (2016) · Nature Materials · doi:10.1038/nmat4544 · Cited by 3,027
Wearable Electronics and Smart Textiles: A Critical Review
Stoppa, M., & Chiolerio, A. (2014) · Sensors · doi:10.3390/s140711957 · Cited by 2,107
Review of progress in shape-memory polymers
Liu, C., Qin, H., & Mather, P. T. (2007) · Journal of Materials Chemistry · doi:10.1039/b615954k · Cited by 1,942
Evaluation of 3D Printing and Its Potential Impact on Biotechnology and the Chemical Sciences
Gross, B. C., Erkal, J. L., Lockwood, S. Y., Chen, C., & Spence, D. M. (2014) · Analytical Chemistry · doi:10.1021/ac403397r · Cited by 1,746
Multi-shape active composites by 3D printing of digital shape memory polymers
Wu, J., Yuan, C., Ding, Z., Isakov, M., Mao, Y., Wang, T., Dunn, M. L., & Qi, H. J. (2016) · Scientific Reports · doi:10.1038/srep24224 · Cited by 399
Pattern Transformation of Heat-Shrinkable Polymer by Three-Dimensional (3D) Printing Technique
Zhang, Q., Yan, D., Zhang, K., & Hu, G. (2015) · Scientific Reports · doi:10.1038/srep08936 · Cited by 188
Cited by
Additive Manufacturing of Polymer Materials: Progress, Promise and Challenges
Saleh Alghamdi, S., John, S., Roy Choudhury, N., & Dutta, N. K. (2021) · Polymers · doi:10.3390/polym13050753 · Cited by 469
Extrusion-based additive manufacturing technologies: State of the art and future perspectives
Altıparmak, S. C., Yardley, V. A., Shi, Z., & Lin, J. (2022) · Journal of Manufacturing Processes · doi:10.1016/j.jmapro.2022.09.032 · Cited by 320
Tripathi, N., Misra, M., & Mohanty, A. K. (2021) · ACS Engineering Au · doi:10.1021/acsengineeringau.1c00011 · Cited by 304
Breakthrough in the printing tactics for stimuli-responsive materials: 4D printing
Rastogi, P., & Kandasubramanian, B. (2019) · Chemical Engineering Journal · doi:10.1016/j.cej.2019.02.085 · Cited by 267
4D printing of shape memory polylactic acid (PLA)
Mehrpouya, M., Vahabi, H., Janbaz, S., Darafsheh, A., Mazur, T. R., & Ramakrishna, S. (2021) · Polymer · doi:10.1016/j.polymer.2021.124080 · Cited by 258
Metadata
- Authors
- Leist, S. K., Gao, D., Chiou, R., & Zhou, J.
- Venue
- Virtual and Physical Prototyping
- Publisher
- Informa UK Limited
- Published
- 2017-07-04
- Volume
- 12
- Issue
- 4
- Pages
- 290-300
- ISSN
- 1745-2759 (ISSN-L)
- 1745-2767
- OpenAlex
- W2733952291
- Cited by
- 173
- References
- 6
- FWCI
- 9.49
- Type
- journal article
- Language
- en
- Open access
- closed
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- Leist, S. K., Gao, D., Chiou, R., & Zhou, J. (2017). Investigating the shape memory properties of 4D printed polylactic acid (PLA) and the concept of 4D printing onto nylon fabrics for the creation of smart textiles. Virtual and Physical Prototyping. https://doi.org/10.1080/17452759.2017.1341815
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
