Evidence map›Paper›PMID 39770253›Full record

ArticleMicromachines2024

Developing an Affordable Miniature 3D-Printed Wave Generator for Wave Energy Harvesting Application.

Yunzhong Wang, Damian Tohl, Anh Tran Tam Pham, Youhong Tang

Abstract read
In one paragraph

Article in Micromachines, 2024. 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

4 authors.

Yunzhong WangCollege of Science and Engineering, Flinders University, Adelaide, SA 5042, Australia.
Damian TohlCollege of Science and Engineering, Flinders University, Adelaide, SA 5042, Australia.
Anh Tran Tam PhamCollege of Science and Engineering, Flinders University, Adelaide, SA 5042, Australia.
Youhong TangCollege of Science and Engineering, Flinders University, Adelaide, SA 5042, Australia.ORCID 0000-0003-2718-544X

Funding

Australian Government Australian Government Research Training Program Scholarship
6 · The paper itself

Abstract

The development of low-frequency and low-amplitude wave energy harvesters has been limited by the lack of an affordable scientific evaluation platform, due to the high cost and land requirements of ground-based water channels. A 3D-printed modular wave generator, combined with the commercially available laboratory-sized wave channel, is proposed to address this. A stepper motor and an Arduino are employed as the driving source and controller. This system utilises motor parameters, such as rotational speed and number of travelled steps, to accurately control generated wave frequency and amplitude. By minimising costs and enhancing sustainability through 3D printing technology, only minor modifications are needed to adapt it to different water tank dimensions. The system can generate stable waves with frequencies from 1 Hz to 2 Hz and amplitudes from 1.5 cm to 7.1 cm under the current setting. The generated wave frequency and amplitude can be further customised by selecting faster stepper motors, as demonstrated in this study.

Indexed as

3D printing technologyexpandable experimental platformlaboratory automationmodular concept designremote controlwave generator

Identifiers

PMID39770253
PMCPMC11678848

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.