Zhao En, Jiang Kai, Li Bao, Liu Xin, Zeng Fan, Chen Lin, Zhang Hao, Zhu Zhiyuan
College of Electronic and Information Engineering, Southwest University, Chongqing 400715, People's Republic of China.
Nanjing Research Institute of Electronic Engineering, Nanjing 210023, People's Republic of China.
Nanotechnology. 2022 Sep 20;33(49). doi: 10.1088/1361-6528/ac8f4f.
The rapid development of the internet of things is accompanied by a large number of equipment deployment. When the equipment fails or reaches its service life, tons of e-waste will be generated. Therefore, there is an urgent need to find environmentally friendly and effective ways to recycle and treat e-waste. In this paper, a method of classification detection and resource utilization of waste electronic components based on the triboelectric nanogenerator (TENG) is proposed, which provides a novel idea for electronic waste treatment. We studied the output voltage characteristics of different kinds of TENG based on waste electronic components subject to different environmental loadings. The output characteristics of TENG are explored, reflecting the e-waste categories and processing environment. TENG is also connected with hundreds of light-emitting diodes (LEDs) through rectifier bridge circuit, and the output performance of TENG is characterized by the number and intensity of LEDs.
物联网的快速发展伴随着大量设备的部署。当设备出现故障或达到使用寿命时,将会产生大量电子垃圾。因此,迫切需要找到环保且有效的电子垃圾回收处理方法。本文提出了一种基于摩擦纳米发电机(TENG)的废旧电子元件分类检测及资源利用方法,为电子垃圾处理提供了新思路。我们研究了基于废旧电子元件的不同种类TENG在不同环境载荷下的输出电压特性。探索了TENG的输出特性,以反映电子垃圾的类别和处理环境。TENG还通过整流桥电路与数百个发光二极管(LED)相连,并通过LED的数量和发光强度来表征TENG的输出性能。