Evidence map›Paper›PMID 36171248›Full record

ArticleScientific reports2022

Significance of nanoparticles aggregation on the dynamics of rotating nanofluid subject to gyrotactic microorganisms, and Lorentz force.

Bagh Ali, Imran Siddique, Rifaqat Ali, Jan Awrejcewicze, Fahd Jarad, Hamiden Abd El-Wahed Khalifa

Abstract read
In one paragraph

Article in Scientific reports, 2022. 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

6 authors.

Bagh AliSchool of Mathematics and Statistics, Northwestern Polytechnical University, Xi'an, 710129, China.
Imran SiddiqueDepartment of Mathematics, University of Management and Technology, Lahore, 54770, Pakistan. imransmsrazi@gmail.com.
Rifaqat AliDepartment of Mathematics, College of Science and Arts, King Khalid University, Muhayil, Abha, 61413, Saudi Arabia.
Jan AwrejcewiczeDepartment of Automation, Biomechanics and Mechatronics, Lodz University of Technology, 1/15 Stefanowskiego St., 90 924, Lodz, Poland.
Fahd JaradDepartment of Mathematics, Cankaya University, Etimesgut, Ankara, Turkey. fahd@cankaya.edu.tr.
Hamiden Abd El-Wahed KhalifaDepartment of Mathematics, College of Sciences and Arts, Qassim University, Al-Badaya, 51951, Saudi Arabia. hamiden@cu.edu.eg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The significance of nanoparticle aggregation, Lorentz and Coriolis forces on the dynamics of spinning silver nanofluid flow past a continuously stretched surface is prime significance in modern technology, material sciences, electronics, and heat exchangers. To improve nanoparticles stability, the gyrotactic microorganisms is consider to maintain the stability and avoid possible sedimentation. The goal of this report is to propose a model of nanoparticles aggregation characteristics, which is responsible to effectively state the nanofluid viscosity and thermal conductivity. The implementation of the similarity transforQ1m to a mathematical model relying on normal conservation principles yields a related set of partial differential equations. A well-known computational scheme the FEM is employed to resolve the partial equations implemented in MATLAB. It is seen that when the effect of nanoparticles aggregation is considered, the temperature distribution is enhanced because of aggregation, but the magnitude of velocities is lower. Thus, showing the significance impact of aggregates as well as demonstrating themselves as helpful theoretical tool in future bioengineering and industrial applications.

Indexed as

HydrodynamicsNanoparticlesModels, TheoreticalSilverThermal ConductivitySilver

Identifiers

PMID36171248
PMCPMC9519940

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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.