Design and optimization principles of cylindrical sliding triboelectric nanogenerators

Zhike Xia, Pei Yong Feng, Xin Jing, Heng Li, Hao Yang Mi, Yuejun Liu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

8 Citations (Scopus)


Reciprocating motion is a widely existing form of mechanical motion in the natural envi-ronment. Triboelectric nanogenerators (TENGs) that work in sliding mode are ideal for harnessing large-distance reciprocating motion, and their energy conversion efficiency could be greatly enhanced by adding springs to them. Herein, we focused on investigating the design and optimization principles of sliding mode TENGs by analyzing the effects of spring parameters and vibration frequency on the triboelectric output performance of typical cylindrical sliding TENGs (CS-TENGs). Experimental study and finite elemental analysis were carried out based on a CS-TENG model assembled using a polytetrafluoroethylene (PTFE) film as the negative layer and an aluminum film as the positive layer. The energy output was found to be mainly affected by the change of relative displacement between the two friction layers, rather than the reactive force applied by the springs or the velocity of the sliding motion. However, the frequency of the output signals could be improved when the stiffness coefficient of the springs and the CS-TENG vibration frequency were increased. This study provides valuable directions for the design and optimization of sliding mode TENGs containing springs, and will motivate in-depth research on the fundamental principles of TENG operation.

Original languageEnglish
Article number567
Issue number5
Publication statusPublished - May 2021


  • Energy harvesting
  • Sliding mode
  • Spring parameter
  • Triboelectric nanogenerator

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Mechanical Engineering
  • Electrical and Electronic Engineering


Dive into the research topics of 'Design and optimization principles of cylindrical sliding triboelectric nanogenerators'. Together they form a unique fingerprint.

Cite this