3D printed piezoelectric BNNTs nanocomposites with tunable interface and microarchitectures for self-powered conformal sensors

纳米发生器 能量收集 光电子学 复合材料 柔性电子器件 压电系数 聚偏氟乙烯 可穿戴技术 执行机构 可穿戴计算机 电极 保形涂层
作者
Jie Zhang,Shibo Ye,Honglei Liu,Xiaoliang Chen,Xiaoming Chen,Baotong Li,Wanhong Tang,Meng Qingcheng,Peng Ding,Hongmiao Tian,Xiangming Li,Yanfeng Zhang,Pei-jun Xu,Jinyou Shao
出处
期刊:Nano Energy [Elsevier]
卷期号:77: 105300- 被引量:14
标识
DOI:10.1016/j.nanoen.2020.105300
摘要

Abstract 3D printing of arbitrary shapes and unique architectures offers unparalleled flexibility and simplicity for fabrication of highly complex 3D conformal electronics. It drives up high demands in electronic materials with excellent processability and functionality simultaneously. Herein, we overcome this challenge in prepared nanofiller/polymer piezoelectric composite by incorporating ultralow loadings (0.2 wt%) of boron nitride nanotubes (BNNTs) in photocurable polymer solution. Furthermore, two effective approaches are introduced to significantly boost the piezoelectric responses through tuning inorganic-polymer interfacial compatibility and structural strain variation. The microstructured piezoelectric composites containing 0.2 wt% functionalized BNNTs exhibits an unprecedentedly high relative sensitivity of (120 mV/(kPa·wt%)) over a broad press region (1–400 kPa), which is 10-fold higher than that of flat composite containing unmodified BNNTs. This dramatic enhancement is ascribed to synergistic contribution from effective stress transfer efficiency between strong piezoelectric BNNTs and nonpiezoelectric polymers, and the improved structural strain variations by topology optimization of microstructures. The as-printed piezoelectric materials are successfully demonstrated as self-powered and conformal tactile sensor array to enable haptic sensing of robotic hand and detect spatial distribution of force on uneven surfaces. Our works provide a promising route for design and fabrication of novel conformal electronics with target performance by high-resolution 3D printing from rational design of materials to optimization of microstructures topology.
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