State Key Laboratory of Physical Chemistry of Solid Surface, Fujian Provincial Key Laboratory of Materials Genome and College of Materials, Xiamen University, Simingnan-Road 422, Xiamen, 361005, China.
Baotou Research Institute of Rare Earths, Huanghe-Avenue 36, Baotou, 014060, China.
Adv Mater. 2022 Sep;34(36):e2202864. doi: 10.1002/adma.202202864. Epub 2022 Aug 5.
Proportionally converting the applied mechanical energy into photons by individual mechanoluminescent (ML) micrometer-sized particles opens a new way to develop intelligent electronic skins as it promises high-resolution stress distribution visualization and fast response. However, a big challenge for ML sensing technology is its low sensitivity in detecting stress. In this work, a novel stress distribution sensor with the detection sensitivity enhanced by two orders of magnitude is developed by combining a proposed near-distance ML imaging scheme with an improved mechano-to-photon convertor. The enhanced sensitivity is the main contributor to the realization of a maximum photon harvesting rate of ≈80% in the near-distance ML imaging scheme. The developed near-distance ML sensor shows a high sensitivity with a detection limit down to ≈kPa level, high spatial resolution of 254 dpi, and fast response with an interval of 3.3 ms, which allows for high-resolution and real-time visualization of complex mechanical actions such as irregular solid contacts or fluid impacts, and thus enables use in intelligent electronic skin, structural health monitoring, and human-computer interaction.
通过单个微机械发光(ML)微尺寸颗粒将施加的机械能按比例转换为光子,为开发智能电子皮肤开辟了一条新途径,因为它有望实现高分辨率的应力分布可视化和快速响应。然而,ML 传感技术的一个大挑战是其在检测压力方面的灵敏度低。在这项工作中,通过将提出的近距 ML 成像方案与改进的机械到光子转换器相结合,开发了一种新型的应力分布传感器,其检测灵敏度提高了两个数量级。增强的灵敏度是实现近距 ML 成像方案中≈80%的最大光子采集率的主要贡献者。所开发的近距 ML 传感器具有高灵敏度,检测限低至≈kPa 级,空间分辨率高达 254dpi,响应间隔为 3.3ms,可实现复杂机械动作(如不规则固体接触或流体冲击)的高分辨率和实时可视化,从而可用于智能电子皮肤、结构健康监测和人机交互。