The DOI matches its Crossref record.
Enhanced broadband piezoelectric energy harvesting using rotatable magnets
Abstract
We investigate a magnetically coupled nonlinear piezoelectric energy harvester by altering the angular orientation of its external magnets for enhanced broadband frequency response. Electromechanical equations describing the nonlinear dynamic behavior include an experimentally identified polynomial for the transverse magnetic force that depends on magnet angle. Up- and down-sweep harmonic excitation tests are performed at constant acceleration over the range of 0–25 Hz. Very good agreement is observed between the numerical and experimental open-circuit voltage output frequency response curves. The nonlinear energy harvester proposed in this work can cover the broad low-frequency range of 4–22 Hz by changing the magnet orientation.
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.
Integrity signals
Registry
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.
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
Safaei, M., Sodano, H. A., & Anton, S. R. (2019) · Smart Materials and Structures · doi:10.1088/1361-665x/ab36e4 · Cited by 874
“In 2014, Zhou et al [199] presented a triple-well nonlinear piezoelectric energy harvester consisting of a piezoelectric beam with a tip magnet and two external magnets with a unique arrangement compared to traditional bistable systems (figure 5(e)).”
BackgroundMethodInfluentialA Review of Early Fault Diagnosis Approaches and Their Applications in Rotating Machinery
Wei, Y., Li, Y., Xu, M., & Huang, W. (2019) · Entropy · doi:10.3390/e21040409 · Cited by 232
Scavenging energy from the motion of human lower limbs via a piezoelectric energy harvester
Fan, K., Yu, B., Zhu, Y., Liu, Z., & Wang, L. (2017) · International Journal of Modern Physics B · doi:10.1142/s0217979217410119 · Cited by 31
Metadata
- Authors
- Zhou, S., Cao, J., Erturk, A., & Lin, J.
- Venue
- Applied Physics Letters
- Publisher
- AIP Publishing
- Published
- 2013-04-29
- Volume
- 102
- Issue
- 17
- ISSN
- 0003-6951 (ISSN-L)
- 1077-3118
- OpenAlex
- W1982845298
- Cited by
- 365
- References
- 0
- FWCI
- 30.55
- 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: Enhanced broadband piezoelectric energy harvesting using rotatable magnets. https://app.cochat.ai/papers/10.1063/1.4803445
- The paper
- Zhou, S., Cao, J., Erturk, A., & Lin, J. (2013). Enhanced broadband piezoelectric energy harvesting using rotatable magnets. Applied Physics Letters. https://doi.org/10.1063/1.4803445
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.