Evidence map›Paper›PMID 37630920›Full record

ArticleNanomaterials (Basel, Switzerland)2023

Low-Cost Manufacturing of Monolithic Resonant Piezoelectric Devices for Energy Harvesting Using 3D Printing.

Marcos Duque, Gonzalo Murillo

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

2 authors.

Marcos DuqueDepartment of Nano and Microsystems, Instituto de Microelectrónica de Barcelona-Centro Nacional de Microelectrónica (Consejo Superior de Investigaciones Cientificas) (IMB-CNM, CSIC), 08193 Bellaterra, Spain.ORCID 0000-0002-4325-2406
Gonzalo MurilloDepartment of Nano and Microsystems, Instituto de Microelectrónica de Barcelona-Centro Nacional de Microelectrónica (Consejo Superior de Investigaciones Cientificas) (IMB-CNM, CSIC), 08193 Bellaterra, Spain.ORCID 0000-0002-0368-1900

Funding

La Caixa Foundation under the Junior Leader Retaining Fellowship LCF/BQ/PR19/11700010project EUR2020-112082 under the Dynamization Actions "Europa Excelencia 2020" funded by the NextGenerationEU Instrument EUR2020-112082
6 · The paper itself

Abstract

The rapid increase of the Internet of Things (IoT) has led to significant growth in the development of low-power sensors. However; the biggest challenge in the expansion of the IoT is the energy dependency of the sensors. A promising solution that provides power autonomy to the IoT sensor nodes is energy harvesting (EH) from ambient sources and its conversion into electricity. Through 3D printing, it is possible to create monolithic harvesters. This reduces costs as it eliminates the need for subsequent assembly tools. Thanks to computer-aided design (CAD), the harvester can be specifically adapted to the environmental conditions of the application. In this work, a piezoelectric resonant energy harvester has been designed, fabricated, and electrically characterized. Physical characterization of the piezoelectric material and the final resonator was also performed. In addition, a study and optimization of the device was carried out using finite element modeling. In terms of electrical characterization, it was determined that the device can achieve a maximum output power of 1.46 mW when operated with an optimal load impedance of 4 MΩ and subjected to an acceleration of 1 G. Finally, a proof-of-concept device was designed and fabricated with the goal of measuring the current passing through a wire.

Indexed as

3D printingenergy harvestingIoTmagnetic fieldmonolithicpiezoelectric

Identifiers

PMID37630920
PMCPMC10458199

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.