Multi‐Dimensional Mechanical Mapping Sensor Based on Flexoelectric‐Like and Optical Signals

Mechanical sensors execute multi‐mode response to external force, which are cornerstones for applications in human–machine interactions and smart wearable equipments. Nevertheless, an integrated sensor responding to mechanical stimulation variables and providing the information of the corresponding...

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Veröffentlicht in:Advanced science 2023-07, Vol.10 (19), p.e2301214-n/a
Hauptverfasser: Zhang, Peng, Teng, Zhaowei, Zhao, Lei, Liu, Zhichao, Yu, Xue, Zhu, Xiaodie, Peng, Songcheng, Wang, Ting, Qiu, Jianbei, Wang, Qingyuan, Xu, Xuhui
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Sprache:eng
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Zusammenfassung:Mechanical sensors execute multi‐mode response to external force, which are cornerstones for applications in human–machine interactions and smart wearable equipments. Nevertheless, an integrated sensor responding to mechanical stimulation variables and providing the information of the corresponding signals, as velocity, direction, and stress distribution, remains a challenge. Herein, a Nafion@Ag@ZnS/polydimethylsiloxanes (PDMS) composite sensor is explored, which realizes the description of mechanical action via optics and electronics signals simultaneously. Combined with the mechano‐luminescence (ML) originated from ZnS/PDMS and the flexoelectric‐like effect of Nafion@Ag, the corresponding explored sensor achieves the detection of magnitude, direction, velocity, mode of mechanical stimulation, and the visualization of the stress distribution. Moreover, the outstanding cyclic stability, linearity response character, and rapid response time are demonstrated. Accordingly, the intelligent recognition and manipulation of a target are realized, which indicate a smarter human–machine interface sensing applied for wearable devices and mechanical arms can be expected. Based on the flexoelectric‐like response of the Nafion@Ag and ML characteristic of ZnS/PDMS, a multi‐dimensional mechanical mapping sensor is explored with outstanding performances in direction and velocity identification, stress distribution mapping under mechanical stimulation. The corresponding explored sensor is integrated for multifunctional recognition and intelligent manipulation of a target object, which would provide immense potential for intelligent industrial robotics.
ISSN:2198-3844
2198-3844
DOI:10.1002/advs.202301214