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Mechanocombinatorially Screening Sensitivity of Stretchable Strain Sensors
Author(s) -
Pan Shaowu,
Liu Zhiyuan,
Wang Ming,
Jiang Ying,
Luo Yifei,
Wan Changjin,
Qi Dianpeng,
Wang Changxian,
Ge Xiang,
Chen Xiaodong
Publication year - 2019
Publication title -
advanced materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 10.707
H-Index - 527
eISSN - 1521-4095
pISSN - 0935-9648
DOI - 10.1002/adma.201903130
Subject(s) - sensitivity (control systems) , materials science , stretchable electronics , soft robotics , nanotechnology , electronics , strain (injury) , electrical conductor , structural health monitoring , optoelectronics , computer science , electronic engineering , artificial intelligence , composite material , robot , electrical engineering , engineering , medicine
Stretchable strain sensors have aroused great interest for their application in human activity recognition, health monitoring, and soft robotics. For various scenarios involving the application of different strain ranges, specific sensitivities need to be developed, due to a trade‐off between sensor sensitivity and stretchability. Traditional stretchable strain sensors are developed based on conductive sensing materials and still lack the function of customizable sensitivity. A novel strategy of mechanocombinatorics is proposed to screen the sensor sensitivity based on mechanically heterogeneous substrates. Strain redistribution over substrates is optimized by mechanics and structure parameters, which gives rise to customizable sensitivity. As a proof of concept, a local illumination method is used to fabricate heterogeneous substrates with customizable mechanics and structure parameters. A library of mechanocombinatorial strain sensors is created for extracting the specific sensitivity. Thus, not only is an effective strategy for screening of sensor sensitivity demonstrated, but a contribution to the mechanocombinatorial strategy for personalized stretchable electronics is also made.