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Self-Healing Polyurethane Elastomers Based on a Disulfide Bond by Digital Light Processing 3D Printing.
Xinpan Li1,2, Ran Yu1, Yangyang He1,2
1Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, People's Republic of China.
ACS Macro Letters
|June 2, 2022
Summary
Researchers developed a self-healing polyurethane elastomer using digital light processing 3D printing. This advanced material demonstrates remarkable strength, high accuracy, and 95% healing efficiency, enabling multiple repairs.
Area of Science:
- Materials Science
- Polymer Chemistry
- Additive Manufacturing
Background:
- Polyurethane elastomers are versatile materials with tunable properties.
- Self-healing materials can autonomously repair damage, extending product lifespan.
- 3D printing offers precise fabrication of complex structures.
Purpose of the Study:
- To fabricate a self-healing polyurethane elastomer using digital light processing (DLP) 3D printing.
- To evaluate the mechanical properties and self-healing efficiency of the printed elastomer.
- To explore potential applications in flexible electronics, soft robotics, and sensors.
Main Methods:
- Synthesis of a polyurethane acrylate containing disulfide bonds.
- Formulation of a photopolymer resin with reactive diluent and photoinitiators.
- Fabrication of 3D objects using DLP 3D printing.
Main Results:
- The photopolymer resin exhibited good fluidity and a high curing rate suitable for DLP printing.
- 3D printed objects displayed complex structures, high printing accuracy, and excellent self-healing ability.
- The polyurethane elastomer achieved a tensile strength of 3.39 ± 0.09 MPa and elongation at break of 400.38 ± 14.26%.
- Healing efficiency reached 95% after 12 hours at 80 °C, with the material capable of multiple healing cycles.
Conclusions:
- DLP 3D printing enables the efficient fabrication of self-healing polyurethane elastomers.
- The developed material possesses excellent mechanical properties and remarkable self-healing capabilities.
- This technology holds significant potential for applications in flexible electronics, soft robotics, and sensors.

