Evidence map›Paper›PMID 42606767›Full record

ArticleDiscover nano2026

Nanoscale heat evaluation performance using hybrid nanocomposites along vertical riga surface under robin boundary and transient concept.

Ghulfam Sarfraz, Mohamed Arbi Khlifi, Heba G Mohamed, Wasim Jamshed, Woinshet Defar Mergia, Adnan, Yasir Khan, Muhammad Nasir Bashir

Abstract read
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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.

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1 · What the graph read from it

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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

8 authors.

Ghulfam SarfrazDepartment of Mathematics, Mohi-Ud-Din Islamic University, Nerian Sharif, Trarkhel, 12080, Azad Jammu and Kashmir, Pakistan.
Mohamed Arbi KhlifiDepartment of Electrical Engineering, Faculty of Engineering, Islamic University of Madinah, 42351, Madinah, Saudi Arabia.
Heba G MohamedDepartment of Electrical Engineering, College of Engineering, Princess Nourah bint Abdulrahman University, P.O. Box 84428, 11671, Riyadh, Saudi Arabia.
Wasim JamshedDepartment of Computer Engineering, Biruni University, Topkapi, Istanbul, Turkey.
Woinshet Defar MergiaDepartment of Mathematics, Jimma University, Jimma, Ethiopia. Woinshet.mergia@ju.edu.et.
AdnanDepartment of Mathematics, Mohi-Ud-Din Islamic University, Nerian Sharif, Trarkhel, 12080, Azad Jammu and Kashmir, Pakistan.
Yasir KhanDepartment of Mathematics, University of Hafr Al Batin, 31991, Hafr Al Batin, Saudi Arabia.
Muhammad Nasir BashirDepartment of Mechanical Engineering, College of Engineering, King Faisal University, Al-Ahsa, 31982, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The heat transfer through Riga surface associated to Robin condition and transient effects is an interesting topic. The primary objectives of this work are to model a heat transfer problem for vertical Riga surface using hybrid nanocomposite properties, along with thermal radiation, mixed convection and unsteady effects. The problem governs the flow transformed into dimensionless form with the help of similarity transformations, and enhanced properties of nanofluids. The model novelty falls in the development of superior tetra nanofluid class and its comparison with traditional classes (ternary, hybrid and simple) by integrating the aforementioned parameters. After that, the RK numerical scheme is applied for the solution and the results plotted by varying the physical parameters (thermal radiation, Biot number, unsteady and mixed convection parameters). The findings reveal that Biot number from 0.2 to 0.8, thermal radiation parameter from 0.1 to 0.7, and nanoparticles concentration from 1 to 4% promisingly increases the temperature with maximum increase in tetra nanofluid case than ternary, hybrid and simple cases. However, strengthening the mixed convection (δ) from 0.01 to 0.04 and magnetic effects due to Riga surface controls the temperature significantly. The skin friction against [Formula: see text] from 1 to 4% shows variations from 1.0214 to 1.0051 (tetra), 1.1290 to 1.1179 (ternary), 1.1385 to 1.1304 (hybrid), and 1.1786 to 1.1740 for traditional nanofluid. The comparative heat transfer gradient improves for strong Biot number effects and enhances from 0.2707 to 0.440 (tetra), 0.1233 to 0.3915 (ternary), 0.1150 to 0.3671 (hybrid) and 0.1109 to 0.3536 for simple nanofluid with promising increase in tetra nanofluid. The comparative findings reveal key role of tetra nanofluid for heat transfer while the less thermal efficiency is investigated for other classes.

Indexed as

Mechanical engineeringNanomaterialNumerical analysisRobin conditionThermal engineering

Identifiers

PMID42606767
PMCPMC13481609

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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.