Evidence map›Paper›PMID 42842091›Full record

ArticleDiscover nano2026

A comparative analysis on MHD fluid flow over a thickness varying surface using Buongiorno model.

Kuppala R Sekhar, Shaik Jakeer, Charupalli Sunil Kumar, Janke V Ramana Reddy, Haile Habenom, Muhammad Azhar, Mubashar Arshad

Abstract read
In one paragraph

Article in Discover nano, 2026. 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

7 authors.

Kuppala R SekharSchool of Technology, The Apollo University, Chittoor, AP, 517127, India.
Shaik JakeerSchool of Technology, The Apollo University, Chittoor, AP, 517127, India.
Charupalli Sunil KumarSchool of Technology, The Apollo University, Chittoor, AP, 517127, India.
Janke V Ramana ReddyDepartment of H&S, Krishna Chaitanya Institute of Technology and Sciences, Markapur, AP, 523316, India.
Haile HabenomDepartment of Mathematics, Wollega University, Nekemte, Ethiopia. hailehabenom90@gmail.com.
Muhammad AzharDepartment of Mathematics, Abbottabad University of Science & Technology, Abbottabad, 22500, Pakistan.
Mubashar ArshadDepartment of Mathematics, Abbottabad University of Science & Technology, Abbottabad, 22500, Pakistan.ORCID https://orcid.org/0000-0002-2065-6301

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nanofluids have extensive applications across engineering and industrial domains, including heat exchangers, microelectronics, chillers, and pharmaceutical processes. Utilizing these advanced features, this study is opted to analyze the properties of non-Newtonian Casson nanofluids over a thin surface, considering the effects of thermophoresis, Brownian motion, and heat source/sink. The governing equations are transformed using similarity transformations and solved numerically via the Runge-Kutta-Fehlberg method. The influence of the governing parameters on velocity, temperature, concentration, skin friction coefficient, local Nusselt number, and local Sherwood number is examined and addressed. The primary outcomes demonstrate that increasing the magnetic field reduces fluid velocity due to Lorentz forces. Meanwhile parameters such as wall thickness and velocity power index enhance velocity and temperature profiles. Brownian motion and thermophoresis elevate temperature and concentration near the boundary. Also, higher heat source/sink values significantly boost temperature profiles. These results have direct and practical implications for optimizing heat transfer and flow behavior in non-Newtonian fluids. Current study has immediate applications in biomedical engineering, chemical processing, and microscale fluid systems.Clinical trial number: Not applicable.

Indexed as

Brownian MotionCasson FluidHeat source/sinkMagnetohydrodynamicSlandering Sheet.Thermophoresis

Identifiers

PMID42842091
PMCPMC13646241

What OpenQuestion holds

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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.