Facile and Economical Fabrication of Superhydrophobic Flexible Resistive Strain Sensors for Human Motion Detection

查看全文 作　　者：Yulin [1]Shang;Bingzhen [1]Zhang;Jiyu [1]Liu;Chunwen [1]Xia;Xiaowei [1]Yang;Defeng [1]Yan;Jing [1]Sun 机构地区：[1]Key Laboratory for Precision and Non-Traditional Machining Technology of the Ministry of Education,Dalian University of Technology,Dalian 116024,People’s Republic of China 出　　处：《Nanomanufacturing and Metrology》索引2023年第6卷第1期,共9页 基　　金：supported by National Natural Science Foundation of China(Grant No.51975092);the Fundamental Research Funds for the Central Universities(Grant No.DUT19ZD202). 摘　　要：Superhydrophobic flexible strain sensors have great application value in the fields of personal health monitoring,human motion detection,and soft robotics due to their good flexibility and high sensitivity.However,complicated preparation processes and costly processing procedures have limited their development.To overcome these limitations,in this work we develop a facile and low-cost method for fabricating superhydrophobic flexible strain sensor via spraying carbon black(CB)nanoparticles dispersed in a thermoplastic elastomer(SEBS)solution on a polydimethylsiloxane(PDMS)flexible substrate.The prepared strain sensor had a large water contact angle of 153±2.83°and a small rolling angle of 8.5±1.04°,and exhibited excellent self-cleaning property.Due to the excellent superhydrophobicity,aqueous acid,salt,and alkali could quickly roll off the flexible strain sensor.In addition,the sensor showed excellent sensitivity(gauge factor(GF)of 5.4–7.35),wide sensing ranges(stretching:over 70%),good linearity(three linear regions),low hysteresis(hysteresis error of 4.8%),and a stable response over 100 stretching-releasing cycles.Moreover,the sensor was also capable of effectively detecting human motion signals like finger bending and wrist bending,showing promising application prospects in wearable electronic devices,personalized health monitoring,etc. 关 键 词：SUPERHYDROPHOBIC SPRAYING Strain sensors Human motion detection