3D printed stretchable triboelectric nanogenerator fibers and devices
3D printed stretchable triboelectric nanogenerator fibers and devices
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DOI：
10.1016/j.nanoen.2020.104973
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发表时间：
2020-09
期刊：
影响因子：
17.6
通讯作者：
Yuxin Tong;Ziang Feng;Jongwoon Kim;J. Robertson;X. Jia;Blake N. Johnson
中科院分区：
文献类型：
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作者：
Yuxin Tong;Ziang Feng;Jongwoon Kim;J. Robertson;X. Jia;Blake N. Johnson
摩擦发电机和传感器作为自供电的可穿戴设备具有巨大的潜力，用于能量收集，生物医学监测和记录人类活动。在这里，我们报告了一种使用弹性金属芯摩擦纳米发电机（TENG）纤维在平面，旋转和非平面解剖基底上3D打印可拉伸膜，网格和中空3D结构的过程。通过循环加载测试量化了单个3D打印弹性金属芯硅铜（Cu）（包层芯）纤维和3D打印膜的摩擦电性能，其最大功率密度分别为31.39和23.94 mW m−2。通过应用于用于器官和人体活动监测的可穿戴机械传感器，具体地，在没有扬声器发声的情况下（即，“声音”）监测灌注器官和语音识别，证明了柔性硅铜TENG纤维和3D打印工艺的效用。沉默的言语）。3D打印的可穿戴摩擦电机械传感器，以可拉伸的形状拟合网格和膜的形式，结合机器学习信号处理算法，能够实时监测灌注诱导的肾脏水肿和人类受试者在没有声音产生的情况下的语音识别（99%的单词分类准确率）。总的来说，这项工作扩展了3D打印的导电和功能材料，并鼓励将3D打印的摩擦电设备用于生物制造、医学和国防领域的自供电传感应用。
Triboelectric generators and sensors have a great potential as self-powered wearable devices for energy harvesting, biomedical monitoring, and recording human activity. Here, we report a process for 3D printing stretchable membranes, meshes, and hollow 3D structures on planar, rotating, and non-planar anatomical substrates using elastomeric metal-core triboelectric nanogenerator (TENG) fibers. The triboelectric performance of single 3D-printed elastomeric metal-core silicone-copper (Cu) (cladding-core) fibers and 3D-printed membranes was quantified by cyclic loading tests, which showed maximum power densities of 31.39 and 23.94 mW m−2, respectively. The utility of the flexible silicone-Cu TENG fibers and 3D printing process was demonstrated through applications to wearable mechanosensors for organ and human activity monitoring, specifically, monitoring of perfused organs and speech recognition in the absence of sound production by the speaker (i.e.,‘silent speech’), respectively. 3D-printed wearable triboelectric mechanosensors, in the form of stretchable form-fitting meshes and membranes, in combination with machine-learning signal processing algorithms, enabled real-time monitoring of perfusion-induced kidney edema and speech recognition in the absence of sound production by human subjects (99% word classification accuracy). Overall, this work expands the conductive and functional materials palette for 3D printing and encourages the use of 3D-printed triboelectric devices for self-powered sensing applications in biomanufacturing, medicine, and defense.