A multimodal PDMS triboelectric nanogenerator sensor based on anodised aluminium oxide template preparation for object recognition

文献情報

出版日 2023-10-17

DOI 10.1039/D3TA04690G

インパクトファクター 12.732

著者

Hongde Zhu, Junlan Liang, Sanlong Wang

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要旨

With triboelectric nanogenerators (TENGs) increasingly being used as touch sensors, their recognition accuracy is critical for the practical application of TENG devices. Here, we propose a method to prepare polydimethylsiloxane (PDMS) films with nano-array structures on the surface using an anodised aluminium oxide (AAO) template to assemble a TENG device with a high static contact angle. The method can improve the TENG output effect and enhance the accuracy of material recognition. The prepared nano-array structures (na-PDMS) are a series of cylinders with a radius of 150 nm and a height of 500 nm. The results show that the N-TENG device assembled from na-PDMS produced strain in the nano-array layer of na-PDMS at an applied stress of 0.89–19.50 kPa; when the applied stress of 19.50–134.52 kPa exceeded the tolerance range of the nano-array layer of na-PDMS, the non-nano-array structured layer of na-PDMS produced strain. Furthermore, under the test conditions of 14.95 kPa, the maximum power density of the N-TENG was 3.96 mW m−2 when the load resistance was 4 MΩ. In addition, the feature signals generated when the N-TENG was in contact with the material/separated from the material were combined with the CNN deep learning technique. The following could be observed: the fabricated N-TENG device could recognise eight different materials with 97.7% certainty, which is better than the conventional S-TENG device. Overall, the method proposed in this paper provides a feasible way to improve the triboelectric properties of TENGs and sheds light on the surface structure design of triboelectric materials.

掲載誌

Journal of Materials Chemistry A

CiteScore: 19.5

自己引用率: 4.7%

年間論文数: 2211

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