Evidence map›Paper›PMID 41374639›Full record

ArticleSensors (Basel, Switzerland)2025

Multi-Band Enhanced Energy Harvesting from Dual Sources Using a Symmetrical Gradient Metamaterial Beam.

Weiqiang Mo, Yubin Lin, Shiqing Huang, Dongqin Li, Rongfeng Deng, Fengshou Gu

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. 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

6 authors.

Weiqiang MoSchool of Industrial Automation, Beijing Institute of Technology, Zhuhai 519088, China.ORCID 0009-0003-3558-080X
Yubin LinSchool of Industrial Automation, Beijing Institute of Technology, Zhuhai 519088, China.ORCID 0000-0002-0107-4058
Shiqing HuangSchool of Industrial Automation, Beijing Institute of Technology, Zhuhai 519088, China.
Dongqin LiSchool of Industrial Automation, Beijing Institute of Technology, Zhuhai 519088, China.
Rongfeng DengSchool of Industrial Automation, Beijing Institute of Technology, Zhuhai 519088, China.
Fengshou GuSchool of Industrial Automation, Beijing Institute of Technology, Zhuhai 519088, China.ORCID 0000-0003-4907-525X

Funding

National Natural Science Foundation of China 52275102
6 · The paper itself

Abstract

Wireless sensors are vital for real-time condition monitoring of rotating machinery. Traditionally, these sensors depend on batteries, a solution that is neither eco-friendly nor cost-effective due to high maintenance. Vibration energy harvesting has emerged as a promising alternative for powering these sensors. Nevertheless, current energy harvesters commonly disregard high-frequency energy, which is weak but contains abundant condition-monitoring information. Moreover, the destructive interference between multiple vibration sources further attenuates the high-frequency energy. To address these limitations, this paper proposed a novel energy harvesting method based on a symmetrical gradient metamaterial beam (SGMB). The SGMB structure is designed to have multiple bands to enhance the high-frequency energy and diminish the destructive interference of flexural waves from two vibration sources. Multiple piezoelectric patches are integrated into SGMB to convert the dynamic stress into harvestable electrical power, enabling multi-band dual-source energy harvesting. Based on the rainbow trapping mechanism, the SGMB was first designed and optimized for desired frequency bands. Subsequently, the band characteristics and piezoelectric output performance were adjusted and validated through finite element simulation. Finally, experimental evaluations were conducted to validate the performance of the designed metamaterial. The results demonstrate that the SGMB provides multiple enhanced bands within the range from 1000 Hz to 3500 Hz and improves the energy harvesting efficiency by a factor over 100, which represents a breakthrough in developing self-powered and self-sensing wireless sensors.

Indexed as

dual-sourceenergy harvestingmetamaterialmulti-bandrainbow trapping

Identifiers

PMID41374639
PMCPMC12694202

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.