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Topology‐Optimized Stretchable Piezoelectric Sensors With Tailored Liquid‐Metal Circuits for Anisotropic Stress‐Adaptive Motion Monitoring

材料科学 压电 压力(语言学) 压电传感器 各向异性 机械工程 变形(气象学) 陶瓷 平面的 张力(地质) 电子皮肤 声学 拓扑(电路) 可穿戴计算机 墨水池 电子线路 可伸缩电子设备 触觉传感器 过程(计算) 计算机科学 信号(编程语言) 微流控 灵敏度(控制系统) 光电子学 结构健康监测
作者
Hanmin Zeng,Qianqian Xu,Jianxun Zhang,Peiqiong Zhou,J. H. Zhang,Jinlan Li,Senfeng Zhao,Kechao Zhou,Dou Zhang,C. R. Bowen,Yan Zhang
出处
期刊:Advanced Materials [Wiley]
卷期号:38 (15): e18168-e18168
标识
DOI:10.1002/adma.202518168
摘要

The design of high-sensitivity stretchable piezoelectric sensors remains challenging due to the inherent trade-off between the ability to achieve high levels of mechanical deformation while maintaining efficient stress transduction. Here, we propose a new topology-optimization strategy to construct stretchable piezoelectric sensors that efficiently utilize the spatial stress distribution and are able to adapt to a range of anisotropic mechanical stress states. By exploiting computer-aided topology optimization, the distribution of piezoelectric ceramic units within the sensor was tailored to maximize the degree of stress transfer, resulting in an increase of 103.5% and 59.7% in the maximum piezoelectric potential when subject to tension and torsion, respectively. To ensure structural stretchability and adaptability of the topology optimized sensors when subject to complex loading environments, a direct ink writing process was developed to create stretchable eutectic gallium-indium liquid alloy (EGaIn) electrodes. Based on a shear-driven mechanism of printing, new predictive theoretical equations governing printing performance were developed that could predict the printed state (with 94.7% accuracy) and enable trace width control (relative error < 15%). The final optimized sensor exhibited excellent sensitivity, achieving 14.0 V per strain and 0.10 V per degree when subject to tensile and torsional loads, exceeding the unoptimized device by 59.2% and 92.4%, respectively. Finally, inspired by the morphological characteristics of butterflies and guided by the topology-optimized layout, a multi-channel sensor was constructed to accurately identify the pattern and amplitude of a complex range of neck movements, demonstrating the significant potential of the new design and manufacturing approach for wearable electronics.
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