The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
A transparent, highly stretchable, self-healing polyurethane based on disulfide bonds
Abstract
Abstract Polymers with self-healing ability have attracted great research efforts recently. A transparent self-healing polyurethane (PU) based on disulfide bonds is reported in this work. The crystalline structures, self-healing properties of the polyurethane were investigated by differential scanning calorimetry (DSC), X-ray diffraction measurements (XRD), dynamic mechanical analysis (DMA), stress relaxation and tensile tests. The as-prepared self-healing polyurethane was transparent due to low crystallinity and exhibited excellent self-healing properties, stretchability and healing repeatability. The healing efficiency and elongation at break at a moderate healing temperature were over 90% and 800%, respectively. Meanwhile, the self-healing polyurethane exhibited an excellent healing repeatability and service reliablility. The self-healing mechanism was analyzed through surface analysis of the scratches and shape memory effect. The system was composed of a polyurethane network, which was responsible for the autonomous crack closure due to its shape memory characteristic, and an intrinsic self-healing component through dynamic disulfide bond exchange. The self-healing polyurethane might have potential applications in the fields of flexible electronics, including artificial skins, soft robotics, etc.
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Cites
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Self-Healing Materials Based on Disulfide Links
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Catalyst-free room-temperature self-healing elastomers based on aromatic disulfide metathesis
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3D Printing of Highly Stretchable, Shape-Memory, and Self-Healing Elastomer toward Novel 4D Printing
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Cited by
Li, X., Yu, R., He, Y., Zhang, Y., Yang, X., Zhao, X., & Huang, W. (2019) · ACS Macro Letters · doi:10.1021/acsmacrolett.9b00766 · Cited by 355
Hua, D., Gao, S., Zhang, M., Ma, W., & Huang, C. (2020) · Carbohydrate Polymers · doi:10.1016/j.carbpol.2020.116743 · Cited by 160
Metadata
- Authors
- Chang, K., Jia, H., & Gu, S.-Y.
- Venue
- European Polymer Journal
- Publisher
- Elsevier BV
- Published
- 2019-03
- Volume
- 112
- Pages
- 822-831
- ISSN
- 0014-3057 (ISSN-L)
- OpenAlex
- W2898981715
- Cited by
- 299
- References
- 49
- FWCI
- 8.64
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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