Evidence map›Paper›PMID 36950576›Full record

ReviewHeliyon2023

Past and current components-based detailing of particle image velocimetry: A comprehensive review.

Daniel Rohacs, Onur Yasar, Utku Kale, Selcuk Ekici, Enver Yalcin, Adnan Midilli, T Hikmet Karakoc

Erratum issuedAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

7 authors.

Daniel RohacsDepartment of Aeronautics and Naval Architecture, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, HU-1111, Budapest, Hungary.
Onur YasarAviation Academy, Amsterdam University of Applied Sciences, Amsterdam, Netherlands.
Utku KaleDepartment of Aeronautics and Naval Architecture, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, HU-1111, Budapest, Hungary.
Selcuk EkiciDepartment of Aviation, Iğdır University, TR-76000, Iğdır, Turkey.
Enver YalcinAviation Academy, Amsterdam University of Applied Sciences, Amsterdam, Netherlands.
Adnan MidilliFaculty of Mechanical Engineering, Department of Mechanical Engineering, Yıldız Technical University, TR-34349, İstanbul, Turkey.
T Hikmet KarakocFaculty of Aeronautics and Astronautics, Eskişehir Technical University, TR-26000, Eskişehir, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Particle image velocimetry has been widely used in various sectors from the automotive to aviation, research, and development, energy, medical, turbines, reactors, electronics, education, refrigeration for flow characterization and investigation. In this study, articles examined in open literature containing the particle image velocimetry techniques are reviewed in terms of components, lasers, cameras, lenses, tracers, computers, synchronizers, and seeders. The results of the evaluation are categorized and explained within the tables and figures. It is anticipated that this paper will be a starting point for researchers willing to study in this area and industrial companies willing to include PIV experimenting in their portfolios. In addition, the study shows in detail the advantages and disadvantages of past and current technologies, which technologies in existing PIV laboratories can be renewed, and which components are used in the PIV laboratories to be installed.

Indexed as

AviationComponentFlow measurementNon-intrusiveParticle image velocimetry (PIV)Review

Identifiers

PMID36950576
PMCPMC10025931

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.