Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 306

The DOI matches its Crossref record.

Cylindrical Rotating Triboelectric Nanogenerator

Bai, Peng, Zhu, Guang, Liu, Ying, Chen, Jun, Jing, Qingshen, Yang, Weiqing, Ma, Jusheng, Zhang, Gong, Wang, Zhong Lin·2013·ACS Nano

Abstract

We demonstrate a cylindrical rotating triboelectric nanogenerator (TENG) based on sliding electrification for harvesting mechanical energy from rotational motion. The rotating TENG is based on a core-shell structure that is made of distinctly different triboelectric materials with alternative strip structures on the surface. The charge transfer is strengthened with the formation of polymer nanoparticles on surfaces. During coaxial rotation, a contact-induced electrification and the relative sliding between the contact surfaces of the core and the shell result in an "in-plane" lateral polarization, which drives the flow of electrons in the external load. A power density of 36.9 W/m(2) (short-circuit current of 90 μA and open-circuit voltage of 410 V) has been achieved by a rotating TENG with 8 strip units at a linear rotational velocity of 1.33 m/s (a rotation rate of 1000 r/min). The output can be further enhanced by integrating more strip units and/or applying larger linear rotational velocity. This rotating TENG can be used as a direct power source to drive small electronics, such as LED bulbs. This study proves the possibility to harvest mechanical energy by TENGs from rotational motion, demonstrating its potential for harvesting the flow energy of air or water for applications such as self-powered environmental sensors and wildlife tracking devices.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1021/nn402491y

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 306

Metadata

Authors
Bai, P., Zhu, G., Liu, Y., Chen, J., Jing, Q., Yang, W., Ma, J., Zhang, G., & Wang, Z. L.
Venue
ACS Nano
Published
2013-06-25
Volume
7
Issue
7
Pages
6361-6366
ISSN
  • 1936-0851 (ISSN-L)
  • 1936-086X
OpenAlex
W2323536175
Cited by
306
References
0
FWCI
12.93
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Cylindrical Rotating Triboelectric Nanogenerator. https://app.cochat.ai/papers/10.1021/nn402491y
The paper
Bai, P., Zhu, G., Liu, Y., Chen, J., Jing, Q., Yang, W., Ma, J., Zhang, G., & Wang, Z. L. (2013). Cylindrical Rotating Triboelectric Nanogenerator. ACS Nano. https://doi.org/10.1021/nn402491y

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.