Evidence map›Paper›PMID 35789186›Full record

ArticleScientific reports2022

Role of copper and alumina for heat transfer in hybrid nanofluid by using Fourier sine transform.

Basma Souayeh, Kashif Ali Abro, Ambreen Siyal, Najib Hdhiri, Faycal Hammami, Muayad Al-Shaeli, Nisrin Alnaim, S Suresh Kumar Raju, Mir Waqas Alam, Tarfa Alsheddi

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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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

10 authors.

Basma SouayehDepartment of Physics, College of Science, King Faisal University, PO Box 400, Al Ahsa, 31982, Saudi Arabia. bsouayeh@kfu.edu.sa.
Kashif Ali AbroDepartment of Basic Sciences and Related Studies, Mehran University of Engineering and Technology, Jamshoro, Pakistan.
Ambreen SiyalDepartment of Basic Sciences and Related Studies, Mehran University of Engineering and Technology, Jamshoro, Pakistan.
Najib HdhiriLaboratory of Fluid Mechanics, Physics Department, Faculty of Science of Tunis, University of Tunis EI Manar, 2092, Tunis, Tunisia.
Faycal HammamiLaboratory of Fluid Mechanics, Physics Department, Faculty of Science of Tunis, University of Tunis EI Manar, 2092, Tunis, Tunisia.
Muayad Al-ShaeliInstitute for Micro-Process Engineering (IMVT), Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany.
Nisrin AlnaimDepartment of Physics, College of Science, King Faisal University, PO Box 400, Al Ahsa, 31982, Saudi Arabia.
S Suresh Kumar RajuDepartment of Mathematics and Statistics, College of Science, King Faisal University, P.O. Box 400, Al Ahsa, 31982, Saudi Arabia.
Mir Waqas AlamDepartment of Physics, College of Science, King Faisal University, PO Box 400, Al Ahsa, 31982, Saudi Arabia.
Tarfa AlsheddiDepartment of Physics, College of Science, King Faisal University, PO Box 400, Al Ahsa, 31982, Saudi Arabia.

Funding

Deanship of Scientific Research, King Faisal University GRANT133
6 · The paper itself

Abstract

The convection, thermal conductivity, and heat transfer of hybrid nanofluid through nanoparticles has become integral part of several natural and industrial processes. In this manuscript, a new fractionalized model based on hybrid nanofluid is proposed and investigated by employing singular verses and non-singular kernels. The mathematical modeling of hybrid nanofluid is handled via modern fractional definitions of differentiations. The combined Laplace and Fourier Sine transforms have been configurated on the governing equations of hybrid nanofluid. The analytical expression of the governing temperature and velocity equations of hybrid nanofluid have been solved via special functions. For the sake of thermal performance, dimensional analysis of governing equations and suitable boundary conditions based on Mittage-Leffler function have been invoked for the first time in literature. The comparative analysis of heat transfer from hybrid nanofluid has been observed through Caputo-Fabrizio and Atangana-Baleanu differential operators. Finally, our results suggest that volume fraction has the decelerated and accelerated trends of temperature distribution and inclined and declined profile of heat transfer is observed copper and alumina nanoparticles.

Identifiers

PMID35789186
PMCPMC9253315

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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.