A Voiceprint Recognition Sensor Based on a Fully 3D‐Printed Triboelectric Nanogenerator via a One‐Step Molding Route

2020 ◽  
Vol 22 (5) ◽  
pp. 1901560
Author(s):  
Rui Guo ◽  
Hulin Zhang ◽  
Zhen Pei ◽  
Song Yang ◽  
Chao Ge ◽  
...  
Materials ◽  
2020 ◽  
Vol 13 (4) ◽  
pp. 872 ◽  
Author(s):  
Sumin Cho ◽  
Sunmin Jang ◽  
Moonwoo La ◽  
Yeongcheol Yun ◽  
Taekyung Yu ◽  
...  

Renewable energy harvesting technologies have been actively studied in recent years for replacing rapidly depleting energies, such as coal and oil energy. Among these technologies, the triboelectric nanogenerator (TENG), which is operated by contact-electrification, is attracting close attention due to its high accessibility, light weight, high shape adaptability, and broad applications. The characteristics of the contact layer, where contact electrification phenomenon occurs, should be tailored to enhance the electrical output performance of TENG. In this study, a portable imprinting device is developed to fabricate TENG in one step by easily tailoring the characteristics of the polydimethylsiloxane (PDMS) contact layer, such as thickness and morphology of the surface structure. These characteristics are critical to determine the electrical output performance. All parts of the proposed device are 3D printed with high-strength polylactic acid. Thus, it has lightweight and easy customizable characteristics, which make the designed system portable. Furthermore, the finger tapping-driven TENG of tailored PDMS contact layer with microstructures is fabricated and easily generates 350 V of output voltage and 30 μA of output current with a simple finger tapping motion-related biomechanical energy.


Micromachines ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 218
Author(s):  
Taili Du ◽  
Xusheng Zuo ◽  
Fangyang Dong ◽  
Shunqi Li ◽  
Anaeli Elibariki Mtui ◽  
...  

With the development of intelligent ship, types of advanced sensors are in great demand for monitoring the work conditions of ship machinery. In the present work, a self-powered and highly accurate vibration sensor based on bouncing-ball triboelectric nanogenerator (BB-TENG) is proposed and investigated. The BB-TENG sensor consists of two copper electrode layers and one 3D-printed frame filled with polytetrafluoroethylene (PTFE) balls. When the sensor is installed on a vibration exciter, the PTFE balls will continuously bounce between the two electrodes, generating a periodically fluctuating electrical signals whose frequency can be easily measured through fast Fourier transform. Experiments have demonstrated that the BB-TENG sensor has a high signal-to-noise ratio of 34.5 dB with mean error less than 0.05% at the vibration frequency of 10 Hz to 50 Hz which covers the most vibration range of the machinery on ship. In addition, the BB-TENG can power 30 LEDs and a temperature sensor by converting vibration energy into electricity. Therefore, the BB-TENG sensor can be utilized as a self-powered and highly accurate vibration sensor for condition monitoring of intelligent ship machinery.


2017 ◽  
Vol 2017 ◽  
pp. 1-5 ◽  
Author(s):  
Han He ◽  
Mitra Akbari ◽  
Lauri Sydänheimo ◽  
Leena Ukkonen ◽  
Johanna Virkki

We present the possibilities of 3D direct-write dispensing in the fabrication of passive UHF RFID graphene tags on a textile substrate. In our method, the graphene tag antenna is deposited directly on top of the IC strap, in order to simplify the manufacturing process by removing one step, that is, the IC attachment with conductive glue. Our wireless measurement results confirm that graphene RFID tags with printed antenna-IC interconnections achieve peak read ranges of 5.2 meters, which makes them comparable to graphene tags with epoxy-glued ICs. After keeping the tags in high humidity, the read ranges of the tags with epoxy-glued and printed antenna-IC interconnections decrease 0.8 meters and 0.5 meters, respectively. However, after drying, the performance of both types of tags returns back to normal.


2016 ◽  
Vol 26 (7) ◽  
pp. 1902-1909 ◽  
Author(s):  
Ran Wei ◽  
Wei Guo ◽  
Tao Ji ◽  
Yidan Zhang ◽  
Haijie Liang

2019 ◽  
Vol 7 (1) ◽  
pp. 1901719 ◽  
Author(s):  
Jin Li ◽  
Divesh Kamal Baxani ◽  
William David Jamieson ◽  
Wen Xu ◽  
Victoria Garcia Rocha ◽  
...  

Micromachines ◽  
2018 ◽  
Vol 9 (12) ◽  
pp. 656 ◽  
Author(s):  
Hee Hwang ◽  
Younghoon Lee ◽  
Choongyeop Lee ◽  
Youngsuk Nam ◽  
Jinhyoung Park ◽  
...  

The oxidation of metal microparticles (MPs) in a polymer film yields a mesoporous highly-deformable composite polymer for enhancing performance and creating a gapless structure of triboelectric nanogenerators (TENGs). This is a one-step scalable synthesis for developing large-scale, cost-effective, and light-weight mesoporous polymer composites. We demonstrate mesoporous aluminum oxide (Al2O3) polydimethylsiloxane (PDMS) composites with a nano-flake structure on the surface of Al2O3 MPs in pores. The porosity of mesoporous Al2O3-PDMS films reaches 71.35% as the concentration of Al MPs increases to 15%. As a result, the film capacitance is enhanced 1.8 times, and TENG output performance is 6.67-times greater at 33.3 kPa and 4 Hz. The pressure sensitivity of 6.71 V/kPa and 0.18 μA/kPa is determined under the pressure range of 5.5–33.3 kPa. Based on these structures, we apply mesoporous Al2O3-PDMS film to a gapless TENG structure and obtain a linear pressure sensitivity of 1.00 V/kPa and 0.02 μA/kPa, respectively. Finally, we demonstrate self-powered safety cushion sensors for monitoring human sitting position by using gapless TENGs, which are developed with a large-scale and highly-deformable mesoporous Al2O3-PDMS film with dimensions of 6 × 5 pixels (33 × 27 cm2).


Nano Energy ◽  
2019 ◽  
Vol 63 ◽  
pp. 103857 ◽  
Author(s):  
Hong-Joon Yoon ◽  
Dong-Hoon Kim ◽  
Wanchul Seung ◽  
Usman Khan ◽  
Tae Yun Kim ◽  
...  

2015 ◽  
Vol 19 (1) ◽  
pp. 9-18 ◽  
Author(s):  
Ho Nam Chan ◽  
Yangfan Chen ◽  
Yiwei Shu ◽  
Yin Chen ◽  
Qian Tian ◽  
...  

2021 ◽  
pp. 100666
Author(s):  
Jin Yang ◽  
Yanshuo Sun ◽  
Jianjun Zhang ◽  
Baodong Chen ◽  
Zhong Lin Wang

Sign in / Sign up

Export Citation Format

Share Document