4.7 Article

3D printing of ultra-tough, self-healing transparent conductive elastomeric sensors

期刊

CHEMICAL ENGINEERING JOURNAL
卷 426, 期 -, 页码 -

出版社

ELSEVIER SCIENCE SA
DOI: 10.1016/j.cej.2021.130545

关键词

Transparent conductive elastomer; 3D printing; Ultra-tough & self-healing elastomer; Polymerizable deep eutectic solvents; Sensors

资金

  1. National Natural Science Foundation [51973065, 61973127]
  2. Natural Science Foundation of Guangdong Province [2020A1515011380]
  3. Science and Technology Program of Guangzhou [201904010330]
  4. Foundation of Shenzhen Science and Technology Innovation Committee [JCYJ20190809102407410]

向作者/读者索取更多资源

The novel preparation strategy using PDES as deep eutectic solvents in 3D printed TCEs improves transparency and stability, with efficient self-healing performance, thus offering broad application prospects in long-term pressure-resistant intelligent applications.
Ultra-tough transparent conductive elastomers (TCEs) with self-healing performance are of great significance for research in the fields of soft robotics, optical display electronics, wearable electronic equipment and human-computer interaction. However, their limitation, such as the desolventizing process, low polymerization rate or balance between toughness and self-healing performance, cause difficulty in manufacturing by the 3D printing technique. Here, we propose a novel preparation strategy for 3D printed TCEs based on the photopolymerization of maleic acid (MA)/choline chloride (ChCl) and acrylamide (AAm)/choline chloride type polymerizable deep eutectic solvents (PDESs). PDES can polymerize into a tough and rich in hydrogen bonds poly(PDES) in a few seconds without solvent evaporation. The printed TCEs with precision of 10 mu m have high transparency (95.6%) and stable electrical signals at 50% compression for 10,000 cycles. In addition, efficient self-healing performance due to the dynamic hydrogen bonds of poly(PDES) provides broad application prospects for 3D printed TCEs in long-term pressure-resistant intelligent applications.

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