A ENR-based conductive film integrating electricity-triggered self-healing, damage detection and high sensitivity for flexible sensors

被引:13
|
作者
Kong, Lingli [1 ]
Yang, Yunpeng [1 ]
Lin, Zihao [1 ]
Huang, Bai [1 ]
Liao, Lusheng [2 ]
Wang, Yueqiong [2 ]
Xu, Chuanhui [1 ,2 ]
机构
[1] Guangxi Univ, Sch Chem & Chem Engn, Nanning 530004, Peoples R China
[2] Chinese Acad Trop Agr Sci, Hainan Prov Key Lab Nat Rubber Proc, Agr Prod Proc Res Inst, Haikou 524001, Guangdong, Peoples R China
基金
中国国家自然科学基金;
关键词
Electricity-triggered self-healing; Damage detection; Flexible sensors; Disulfide bonds; NATURAL-RUBBER; ROBUST; COMPOSITES; NETWORK;
D O I
10.1016/j.cej.2023.147624
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Wearable flexible sensors cannot lock damage location in time for self-healing due to a lack of damage detecting capacity, which will indulge slight damages to grow up to cause irreparable losses. To address this issue, we design a conductive film based on epoxidized natural rubber (ENR), lipoic acid (LA) and carbon nanotubes (CNT), which has electricity-triggered self-healing and damage detection capabilities for applications in flexible sensors. Due to the excellent electrothermal effect (approximate to 130 celcius in 20 V) of CNT, the film achieves a 100 % selfhealing efficiency under an applied voltage of 20 V for only 4 h. More importantly, the location of damage can be detected by the apparent color difference in the infrared thermogram caused by the different resistances between the damaged and undamaged areas under applied voltage. The film has an acceptable mechanical property of 3.36 MPa, excellent stretchability up to 479 %, and good conductivity of 0.77 S/m. Moreover, it shows high sensitivity (gauge factor up to 12.01) and good reliability (2000 cycles) in flexible sensing and can be used for human body operation detection and anti-counterfeiting. We believe that this functional film provides ideas for the development of a new generation of wearable flexible sensors integrating electricity-triggered selfhealing and damage detection.
引用
收藏
页数:14
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