journal article·2023-07

Mechano‐Triboelectric Transduction of Sliding‐Mode Nanogenerators with Magnetic Pre‐Stress

Qin Zhang, Fan Shen, Chen Cao, Ying Gong, Biao Wang, Zhongjie Li, Yan Peng, Quan Zhang, Chenguo Hu, Hengyu Guo

Advanced Functional Materials· Volume 33· Issue 27
Publisher page

Abstract

Abstract Studies on the enhancement of output performance are widely presented based on the theory of output characteristics for sliding‐mode triboelectric nanogenerators (TENGs). However, few studies are reported to investigate the electromechanical coupling of the external force onto the S‐TENG due to its fuzzy influence on electrical performance. In order to study the effect of the pre‐stress on S‐TENGs, in this work, a novel strategy of adding flexible magnet layers in the S‐TENG is first proposed to study the electrification and coupling effect induced by magnetic pre‐stress (or magnetically stresses triboelectric nanogenerator, MS‐TENG) both theoretically and experimentally. The electromechanical characteristic of the MS‐TENG is theoretically studied by introducing the magnetic pre‐stress coefficient. Considering the effect of the magnetic pre‐stress, load resistances, and sliding frequency on MS‐TENG at a low sliding speed, the relevant output performance of the MS‐TENG is derived through the equivalent circuit model. Furthermore, the corresponding experiments are conducted and the experimental results present a good agreement with the theoretical calculations, which effectively reveal the principle of the magnetic pre‐stress on the MS‐TENG. This work is aimed at providing a theoretical description with validations on the effect of external pre‐stresses on the performance enhancement of S‐TENGs.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Conducting polymers and applications · Dielectric materials and actuators

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Mechatronic Engineering and Automation Shanghai University Shanghai 200444 P. R. China

School of Artificial Intelligence Shanghai University Shanghai 200444 P. R. China

Department of Applied Physics Chongqing University Chongqing 400044 P. R. China

Funding

National Natural Science Foundation of China · Science and Technology Commission of Shanghai Municipality

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