Evidence map›Paper›PMID 37483748›Full record

ArticleHeliyon2023

Irreversibility analysis of hydromagnetic nanofluid flow past a horizontal surface via Koo-Kleinstreuer-Li (KKL) model.

Syed M Hussain, Faisal Shahzad, Nek Muhammad Katbar, Wasim Jamshed, Mohamed R Eid, Alwaleed Kamel, Mohammad Akram, Nor Ain Azeany Mohd Nasir, Rabha W Ibrahim, Agaeb Mahal Alanzi and 1 more

RetractedAbstract readRetracted Publication
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. 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

5 · Who and what money

Authors and funding

11 authors.

Syed M HussainDepartment of Mathematics, Faculty of Science, Islamic University of Madinah, 42351, Saudi Arabia.
Faisal ShahzadDepartment of Mathematics, Capital University of Science and Technology (CUST), Islamabad, 44000, Pakistan.
Nek Muhammad KatbarMehran UET Shaheed Zulfiqar Ali Bhutto Campus Khairpur, Pakistan.
Wasim JamshedDepartment of Mathematics, Capital University of Science and Technology (CUST), Islamabad, 44000, Pakistan.
Mohamed R EidDepartment of Mathematics, Faculty of Science, New Valley University, Al-Kharga, Al-Wadi Al-Gadid, 72511 Egypt.
Alwaleed KamelDepartment of Mathematics, Faculty of Science, Islamic University of Madinah, 42351, Saudi Arabia.
Mohammad AkramDepartment of Mathematics, Faculty of Science, Islamic University of Madinah, 42351, Saudi Arabia.
Nor Ain Azeany Mohd NasirDepartment of Mathematics, Centre for Defence Foundation Studies, Universiti Pertahanan Nasional Malaysia, Kem Sungai Besi 57000 Kuala Lumpur, Malaysia.
Rabha W IbrahimDepartment of Computer Science and Mathematics, Lebanese American University, 13-5053, Beirut, Lebanon.
Agaeb Mahal AlanziDepartment of Mathematics, College of Science and Arts, Qassim University, Al-Badaya 51951, Saudi Arabia.
Sayed M El DinCenter of Research, Faculty of Engineering, Future University in Egypt New Cairo 11835, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The goal of this research is to investigate the effects of Ohmic heating, heat generation, and viscous dissipative flow on magneto (MHD) boundary-layer heat transmission flowing of Jeffrey nanofluid across a stretchable surface using the Koo-Kleinstreuer-Li (KKL) model. Engine oil serves as the primary fluid and is suspended with copper oxide nanomolecules. The governing equations that regulate the flowing and heat transmission fields are partial-differential equations (PDEs) that are then converted to a model of non-linear ordinary differential equations (ODEs) via similarity transformation. The resultant ODEs are numerically resolved using a Keller box technique via MATLAB software that is suggested. Diagrams and tables are used to express the effects of various normal liquids, nanomolecule sizes, magneto parameters, Prandtl, Deborah, and Eckert numbers on the velocity field and temperature field. The outcomes display that the copper oxide-engine oil nanofluid has a lower velocity, drag force, and Nusselt number than the plain liquid, although the introduction of nanoparticles raises the heat. The heat transference rate is reduced by Eckert number, size of nanomolecules, and magneto parameter rising. Whilst, Deborah number is shown to enhance both the drag-force factor and the heat transfer rate. Furthermore, the discoveries reported are advantageous to upgrading incandescent lighting bulbs, heating, and cooling equipment, filament-generating light, energy generation, multiple heating devices, and other similar devices.

Indexed as

Copper oxide nanoparticlesJeffrey fluidKeller-box techniqueKoo-Kleinstreuer-Li (KKL) modelNanofluidics

Identifiers

PMID37483748
PMCPMC10362277

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.