Transparent elongation and compressive strain sensors based on aligned carbon nanowalls embedded in polyurethane

被引:6
作者
Slobodian, Petr [1 ,2 ]
Riha, Pavel [3 ]
Kondo, Hiroki [4 ]
Cvelbar, Uros [5 ]
Olejnik, Robert [1 ]
Matyas, Jiri [1 ]
Sekine, Makoto [4 ]
Hori, Masaru [4 ]
机构
[1] Tomas Bata Univ, Univ Inst, Ctr Polymer Syst, Tr T Bati 5678, Zlin 76001, Czech Republic
[2] Tomas Bata Univ, Fac Technol, Polymer Ctr, TGM 275, Zlin 76001, Czech Republic
[3] Czech Acad Sci, Inst Hydrodynam, POd Patankou 5, Prague 16612 6, Czech Republic
[4] Nagoya Univ, Plasma Nanotechnol Res Ctr PLANT, Grad Sch Engn, Chikusa Ku, Furo Cho, Nagoya, Aichi 4648603, Japan
[5] Jozef Stefan Inst, Dept F6, Jamova Cesta 39, SI-1000 Ljubljana, Slovenia
关键词
Carbon nanowalls; Polyurethane substrate; Deformation; Thermoelectric properties; NETWORK; PLASMA;
D O I
10.1016/j.sna.2020.111946
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Highly extensible transparent composite materials comprised of maze-like vertically aligned carbon nanowalls embedded perpendicularly into a polyurethane film were used as strain tensors and tested by an electrical resistance method in the course of extension, extension/relaxation and compression/expansion cycles. The maze-like carbon nanowall networks with wall-to-wall average distances of 100, 200 and 300 nm were formed on SiO2-coated Si substrates by a plasma-enhanced chemical vapor deposition system. Afterwards, the nanowall network was embedded into a stretchable polyurethane matrix which enabled a high deformation of the composite. The measured extensibility of the composite was over 440 %, and its resistance increased with the extension. The sensitivity of the detection of extension, which was evaluated by the gauge factor, increased over 2000. These sensor properties can be readily tuned by varying distances of nanowalls within the network. Finally, thanks to their optical transparency in the visible light region and thermoelectric properties, these composites offer a wide range of further practical applications. (C) 2020 Elsevier B.V. All rights reserved.
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页数:9
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