Evidence map›Paper›PMID 41900258›Full record

ArticleMicromachines2026

Experimental Study on an Inclined Cylindrical Piezoelectric Energy Harvester.

Hao Li, Chongqiu Yang, Wenhui Li, Rujun Song, Xiaohui Yang

Abstract read
In one paragraph

Article in Micromachines, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Hao LiSchool of Mechanical Engineering, Shandong University of Technology, Zibo 255000, China.
Chongqiu YangSchool of Mechanical Engineering, Shandong University of Technology, Zibo 255000, China.ORCID 0000-0002-7042-6811
Wenhui LiSchool of Mechanical Engineering, Shandong University of Technology, Zibo 255000, China.
Rujun SongSchool of Mechanical Engineering, Shandong University of Technology, Zibo 255000, China.ORCID 0000-0002-9074-2811
Xiaohui YangSchool of Mechanical Engineering, Shandong University of Technology, Zibo 255000, China.

Funding

Shandong Provincial Natural Science Foundation ZR2021QF092Shandong Provincial Natural Science Foundation ZR2022ME052The Youth Innovation Team Development Program of Shandong Provincial Higher Education Institutions 2022KJ234
6 · The paper itself

Abstract

Energy harvesting plays a pivotal role in enabling sustainable power supply for the Internet of Things and distributed sensor networks, particularly for low-power devices. Piezoelectric energy harvesters based on vortex-induced vibrations offer a promising solution for low-wind-speed applications, yet their performance is constrained by limited bandwidth and sensitivity to wind speed variations. This study addresses these limitations by proposing a novel multi-parameter adjustable piezoelectric energy harvester featuring an inclined cylindrical bluff body. By systematically tuning the inclination angle and installation position, the device achieves substantial performance improvements. Experimental results indicate that the optimized configuration yields a wider operational frequency band and enhanced energy conversion efficiency. Through the experimental results, we discovered the existence of the double-peak phenomenon and the plateau phenomenon. The voltage value of the second peak can reach up to 122.4% of the maximum voltage of the first peak. The duration of the maximum plateau phase can maintain between the wind speed of 2.3 m/s and 5.7 m/s.

Indexed as

inclined cylinderpiezoelectric energy harvestervortex-induced vibrationwider operating frequency band

Identifiers

PMID41900258
PMCPMC13028851

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.