Evidence map›Paper›PMID 39870731›Full record

ArticleScientific reports2025

Thermophysical analysis of time-dependent magnetized Casson hybrid nanofluid flow (Cu + GO/Kerosene Oil) using Darcy-Forchheimer and thermal radiative models for industrial cooling applications.

Amal F Alharbi, Fida Mohammad, Muhammad Usman, Naseem Khan, Walid Abushiba

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Amal F AlharbiDepartment of Mathematics, Faculty of Science, King Abdulaziz University, Jeddah, 21589, Saudi Arabia.
Fida MohammadDepartment of Computer Science, Bakhtar University, Kabul, 1001, Afghanistan. fidamohammad@bakhtar.edu.af.
Muhammad UsmanDepartment of Mathematics, City University of Science and Information Technology, Peshawar, 25000, Pakistan.
Naseem KhanDepartment of Mathematics, Islamia College University, Peshawar, 25000, Pakistan.
Walid AbushibaCollege of Engineering, Applied Science University (ASU), Manama, Kingdom of Bahrain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper presents an in-depth analytical investigation into the time-dependent flow of a Casson hybrid nanofluid over a radially stretching sheet. The study introduces the effects of magnetic fields and thermal radiation, along with velocity and thermal slip, to model real-world systems for enhancing heat transfer in critical industrial applications. The hybrid nanofluid consists of three nanoparticles-Copper and Graphene Oxide-suspended in Kerosene Oil, selected for their stable and superior thermal properties. The theory of Darcy-Forchheimer, along with the suction and injection effect, is applied to refine the flow behaviour and enhance heat transfer efficiency. The governing nonlinear equations are solved using the Homotopy Analysis Method to provide a robust framework for solution accuracy. The graphical and tabulated results demonstrated that hybrid nanofluid outperforms mono and Casson hybrid nanofluids. The result shows that, at a nanoparticle volume concentration of 0.03, the Casson hybrid nanofluid showed a remarkable 19.99% increase in heat transfer, compared to 14.80% for simple nanofluid. The magnetic parameter and thermal radiation parameter further amplify thermal conductivity. This research provided a critical insight into optimizing thermal management systems for advanced engineering applications, positioning hybrid nanofluid as highly effective solutions for next-generation cooling technologies.

Indexed as

Casson hybrid nanofluidHAMMagnetic thermal enhancementStretching sheetThermal Radiation

Identifiers

PMID39870731
PMCPMC11772746

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