详细信息
Engineering of carbon nanotube/polydimethylsiloxane nanocomposites with enhanced sensitivity for wearable motion sensors ( SCI-EXPANDED收录 EI收录)
文献类型:期刊文献
英文题名:Engineering of carbon nanotube/polydimethylsiloxane nanocomposites with enhanced sensitivity for wearable motion sensors
作者:Li, Qi[1];Li, Jin[1];Tran, Danhquang[1];Luo, Chengqiang[1];Gao, Yang[1];Yu, Cunjiang[2];Xuan, Fuzhen[1]
机构:[1]East China Univ Sci & Technol, Sch Mech & Power Engn, Shanghai 200237, Peoples R China;[2]Univ Houston, Dept Mech Engn, Houston, TX 77204 USA
年份:2017
卷号:5
期号:42
起止页码:11092
外文期刊名:JOURNAL OF MATERIALS CHEMISTRY C
收录:;EI(收录号:20174504372401);WOS:【SCI-EXPANDED(收录号:WOS:000414359500024)】;
基金:This work is supported by the Fundamental Research Funds for the Central Universities (Project No. 222201714014 and 222201714017), and is also sponsored by Shanghai Sailing Program 17YF1403300 and National Natural Science Foundation of China (Grant No. 51705154 and 51605164).
语种:英文
外文关键词:Yarn - Scalability - Robotics - Nanocomposites - Wearable sensors - Porosity
摘要:Nanocomposite based wearable strain sensors hold promise for a variety of applications from human body motion detection to soft robotics. However, improving the sensitivity of strain sensors while keeping their stretchability (i.e., strain detection range) is still a grand challenge in this area. In this research, a highly efficient and scalable method was developed to enhance the sensitivity of a strain sensor based on carbon nanotube/polydimethylsiloxane (CNT/PDMS) nanocomposites. Through the introduction of porosity into the nanocomposites to form CNT/PDMS sponges using citric acid monohydrate particles, the sensitivity (GF = 15, strain (epsilon) 4 15%; GF = 1.1, epsilon < 15%) is improved compared to the CNT/PDMS nanocomposites without a porous structure (GF = 3.2, epsilon > 10%; GF = 0.12, epsilon < 10%). The strain sensor based on the CNT/PDMS sponge not only shows the capability of monitoring human body motion, such as bending of a finger and elbow, speaking, drinking, and breathing, but also demonstrates potential applications in soft robotics, such as detection of the actuation of a dielectric elastomer.
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