A Broad Range Triboelectric Stiffness Sensor for Variable Inclusions Recognition

Nano-Micro Letters

Article

Changsheng Wu¹  Zhentan Quan²  Hongfa Zhao³  Zihan Wang³  Ziyi Zhao³  Huaze Tang³  Ziwu Song³  Shoujie Li³  Qinghao Xu³  Wenbo Ding⁴  Ishara Dharmasena⁵ 

[1] Department of Materials Science and Engineering, National University of Singapore, 117575, Singapore, Singapore;Institute of Ocean Engineering, Shenzhen International Graduate School, Tsinghua University, 518055, Shenzhen, People’s Republic of China;Tsinghua-Berkeley Shenzhen Institute, Institute of Data and Information, Shenzhen International Graduate School, Tsinghua University, 518055, Shenzhen, People’s Republic of China;Tsinghua-Berkeley Shenzhen Institute, Institute of Data and Information, Shenzhen International Graduate School, Tsinghua University, 518055, Shenzhen, People’s Republic of China;RISC-V International Open Source Laboratory, 518055, Shenzhen, People’s Republic of China;Wolfson School of Mechanical Electrical and Manufacturing Engineering, Loughborough University, LE11 3TU, Loughborough, UK;

关键词: Stiffness sensor;    Decoupling method;    Heterogeneous stiffness;    Variable inclusions;    Healthcare applications;   

DOI  :  10.1007/s40820-023-01201-7

 received in 2023-06-27, accepted in 2023-08-28,  发布年份 2023

来源: Springer

【 摘 要 】

tsWe propose a broad range triboelectric sensor system employing elastic sponge and shielding layers, which can realize fast stiffness recognition within 1.0 s at a low cost.A novel algorithm is proposed for rapid stiffness identification by extracting signal characteristics, effectively reducing demand of computing resources.The proposed sensor system can identify the multi-layer stiffness structure of objects, enabling effective recognition of variable inclusions in soft objects with an accuracy of 99.7%.

【 授权许可】

CC BY   
© Shanghai Jiao Tong University 2023

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