TY - JOUR
T1 - Stretch-Tolerant Waterproof and Self-cleaning CBNPs/Graphene Strain Sensor for Multifunctional Applications
AU - Duan, Jialin
AU - Liu, Jiayao
AU - Wang, Chaolun
AU - Cai, Chunhua
AU - Lyu, Liangjian
AU - Sun, Litao
AU - Wu, Xing
AU - Bi, Hengchang
N1 - Publisher Copyright:
© 2023 Wiley-VCH GmbH.
PY - 2023/10/10
Y1 - 2023/10/10
N2 - Wearable strain sensors are widely used in bionic robots and wearable electronic devices. However, such devices inevitably work in degradative environments such as under wet conditions and contaminants, deteriorating the sensing performance and stability. In this work, a stretch-tolerant superhydrophobic, self-cleaning graphene-based strain sensor with high sensitivity, is reported using prestretching strategy. The stretch-tolerant superhydrophobic surface of the sensor is prepared by attaching carbon black nanoparticles to the Ecoflex substrate for constructing surface roughness and modifying with polydimethylsiloxane for achieving low surface energy under stretched condition (50% strain), which endow the sensors with an outstanding self-cleaning performance for various contaminants. Moreover, the sensor retains excellent super-hydrophobicity even under stretching. The sensor is also insensitive to common liquids in daily life including water, such as tea, milk, and coffee. Furthermore, the proposed strain sensor achieves wide sensing ranges (strain over 100%) and has a superior sensitivity (gauge factor up to 653.4 at 90% stretching), which shows great promising in accurate human motions monitoring both in the air and underwater. Besides, by placing the strain sensor on a bridge, the number of vehicles on the bridge can be detected, which exhibits an ideal platform for real-time traffic flow monitoring.
AB - Wearable strain sensors are widely used in bionic robots and wearable electronic devices. However, such devices inevitably work in degradative environments such as under wet conditions and contaminants, deteriorating the sensing performance and stability. In this work, a stretch-tolerant superhydrophobic, self-cleaning graphene-based strain sensor with high sensitivity, is reported using prestretching strategy. The stretch-tolerant superhydrophobic surface of the sensor is prepared by attaching carbon black nanoparticles to the Ecoflex substrate for constructing surface roughness and modifying with polydimethylsiloxane for achieving low surface energy under stretched condition (50% strain), which endow the sensors with an outstanding self-cleaning performance for various contaminants. Moreover, the sensor retains excellent super-hydrophobicity even under stretching. The sensor is also insensitive to common liquids in daily life including water, such as tea, milk, and coffee. Furthermore, the proposed strain sensor achieves wide sensing ranges (strain over 100%) and has a superior sensitivity (gauge factor up to 653.4 at 90% stretching), which shows great promising in accurate human motions monitoring both in the air and underwater. Besides, by placing the strain sensor on a bridge, the number of vehicles on the bridge can be detected, which exhibits an ideal platform for real-time traffic flow monitoring.
KW - human motion monitoring
KW - self-cleaning
KW - strain sensors
KW - superhydrophobicity
KW - traffic-flow monitoring
UR - https://www.scopus.com/pages/publications/85168284076
U2 - 10.1002/admt.202300776
DO - 10.1002/admt.202300776
M3 - 文章
AN - SCOPUS:85168284076
SN - 2365-709X
VL - 8
JO - Advanced Materials Technologies
JF - Advanced Materials Technologies
IS - 19
M1 - 2300776
ER -