One‐Stop Fabrication of Flexible Sensors Based on Aqueous Printable Triboelectric Layer‐Electrode Integrated Ink with Enhanced Heat‐Resistance

Author:

Dong Haoran12,Jiang Saihua12ORCID,Wu Hao3,Wang Yuanxin12,Zhong Xiaodi12,Jiang Haocheng12,Qian Xiaodong4,Shi Congling4

Affiliation:

1. Institute of Safety Science and Engineering School of Mechanical and Automotive Engineering South China University of Technology Guangzhou 510641 P. R. China

2. Guangdong Provincial Key Laboratory of Technique and Equipment for Macromolecular Advanced Manufacturing South China University of Technology Guangzhou 510641 P. R. China

3. School of Physics and Optoelectronics South China University of Technology Guangzhou 510641 P. R. China

4. Beijing Key Laboratory of Metro Fire and Passenger Transportation Safety Academy of Safety Science and Technology Beijing 100012 P. R. China

Abstract

AbstractTriboelectric nanogenerator (TENG) sensors can meet various application‐scenario requirements for their portability and sustainability. However, the multiple steps from manufacturing to assembly are generally tedious and manpower‐consuming, limiting further development of TENGs in industrialization. Herein, a printable heat‐resistant triboelectric layer‐electrode integration ink is prepared by doping MXene into Polyvinylpyrrolidone and methyl cellulose system for the first time, which is simple and environmentally friendly. And a facile method for manufacturing integrated‐forming TENG (IF‐TENG) sensors without additional electrode assembly based on 3D printing technology is reported, the resulting TENG is flexible and heat‐resistant (≤200 °C). On this basis, IF‐TENGs with simple and complex patterns are rapidly constructed without manual assembly, which can perceive different pressures and bending angles of arms efficiently in high‐temperature conditions. To improve the sensing accuracy, the prepared IF‐TENG sensors are implanted on the four main stress positions on an insole. The support vector machine (SVM) is used to process and analyze the output signals to improve the accuracy of gaits recognition. The mean area under the receiver operating characteristic curve (AUC) value of 0.99 is obtained after parameter optimization by the GridSearch algorithm, and the recognization of various gaits achieves a high accuracy of 96.7%. This work provides an advanced fabrication strategy for TENG with low labor costs and thermal stability, demonstrating great prospects of TENG in mass manufacturing and safety motion monitoring in high‐temperature environments.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province

Publisher

Wiley

Subject

Industrial and Manufacturing Engineering,Mechanics of Materials,General Materials Science

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