Evidence map›Paper›PMID 42751457›Full record

ArticleMethodsX2026

Design-oriented modeling of two-phase palm oil nanomaterial flow with application of Cattaneo-Christov model using STG model.

Mostafa Mohamed Okasha, Seerwan Hamadameen Sulaiman, Sherzod Abdullaev, Saba Liaqat, Munawar Abbas, Mohamed Abbas El-Naggar

Abstract read
In one paragraph

Article in MethodsX, 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

6 authors.

Mostafa Mohamed OkashaHumanities and Social Research Center, Northern Border University, Arar, 73213, Saudi Arabia.
Seerwan Hamadameen SulaimanDepartment of Medical Laboratory Science, College of Health Science, Lebanese French University, Erbil, Iraq.
Sherzod AbdullaevSchool of Exact Sciences, National Pedagogical University of Uzbekistan, Tashkent, Uzbekistan.
Saba LiaqatDepartment of Computer Engineering, Biruni University, Istanbul, 34010, Turkey.
Munawar AbbasDepartment of Mathematics, Firat University, Elazig, 23119, Turkiye.
Mohamed Abbas El-NaggarDepartment of General Subjects, University of Business and Technology, Jeddah, 21361, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The suggested model has crucial applications in the design and optimization of sophisticated thermal systems that incorporate palm oil-based nanomaterial. It is relevant in cooling technologies, heat exchangers, solar energy systems, lubricating operations, food processing, and bio-based manufacturing, all of which require effective heat transmission and fluid flow. The Cattaneo-Christov heat flow model and surface tension gradient effects are incorporated into the model to provide more accurate thermal transport predictions, allowing for increased energy efficiency, process control, and the development of sustainable thermal management solutions. This study inspects the impacts of Marangoni convection and temperature radiation on a dusty palm oil-based nanomaterial with heat source, thermal conductivity, and viscosity dissipation. To translate PDEs into ODEs, the similarity transformation method is applied. The resultant problem is resolved using a shooting approach based on the Runge-Kutta-Fehlberg (RKF-45th) method. A graphic representation of how different parameters affect the temperature and velocity profiles is provided. The thermal profiles of the fluid and dust phases rise as the non-uniform heat source parameter values rise.

Indexed as

Cattaneo-Christov heat flux modelNumerical methodPalm oil-based nanomaterialSTG modelViscous dissipation

Identifiers

PMID42751457
PMCPMC13579922

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.