Bio-based polyurethane triboelectric nanogenerator with superior low-temperature self-healing performance for unmanned surveillance

被引:8
作者
Wang, Hong [1 ]
Zhang, Linman [1 ]
Su, Ziyue [2 ]
Chen, Chaoyu [2 ]
Yang, Weijun [1 ]
Xu, Pengwu [1 ]
Niu, Deyu [1 ]
Ma, Pibo [2 ]
Ma, Piming [1 ]
机构
[1] Jiangnan Univ, Sch Chem & Mat Engn, Key Lab Synthet & Biol Colloids, Minist Educ, Wuxi 214122, Peoples R China
[2] Jiangnan Univ, Coll Text Sci & Engn, Engn Res Ctr Knitting Technol, Minist Educ, Wuxi 214122, Peoples R China
关键词
Bio-based elastomer; Low-temperature; Self-healing; LS-TENG; Unmanned surveillance; HYDROGEN-BONDS; ADHESIVE;
D O I
10.1016/j.nanoen.2024.110144
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Damaged flexible triboelectric nanogenerators face difficulties in autonomous healing at low temperatures, limiting their application range. Impeded dynamic network reconstruction presents a challenge in developing materials for autonomous low-temperature healing. This study constructed a multi-dynamic network utilizing both strong and weak hydrogen and disulfide bonds to develop a biobased polyurethane elastomer (PBES-U, prepared from biobased monomers such as itaconic acid, sebacic acid, etc.), featuring a cross-linked network capable of cryogenic self-healing, superior toughness, and reprocessability. This elastomer extends to 1100 % of its original length, achieving 90 % self-healing efficiency at temperatures down to -10 degrees C due to the low glass transition temperature (Tg, -30 degree celsius) achieved by modulating the flexibility of chain segments. Consequently, a bio-based TENG (LS-TENG) was produced using this elastomer as a positive friction layer through a dynamic interfacial interlocking method. The results reveal that LS-TENG achieves a notable power density of 12.2 mW/ m2, an output voltage reaching 160 V, and a 98 % output voltage recovery post-low-temperature self-healing. Furthermore, a non-contact LS-TENG-based monitoring system was developed with significant potential for applications in battlefield sensing, wildlife monitoring, and intelligent driving.
引用
收藏
页数:14
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