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Research Article | Open Access

Numerical investigation of non-transient comparative heat transport mechanism in ternary nanofluid under various physical constraints

Adnan1( )Waseem Abbas1Sayed M. Eldin2Mutasem Z. Bani-Fwaz3
Department of Mathematics, Mohi-ud-Din Islamic University, Nerian Sharif 12080, AJ & K, Pakistan
Center of Research, Faculty of Engineering, Future University in Egypt, New Cairo 11835, Egypt
Department of Chemistry, College of Science, King Khalid University, P.O. Box 9004, Abha 61413, Saudi Arabia
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Abstract

Significance

The study of non-transient heat transport mechanism in mono nano as well as ternary nanofluids attracts the researchers because of their promising heat transport characteristics. Applications of these fluids spread in industrial and various engineering disciplines more specifically in chemical and applied thermal engineering. Due of huge significance of nanofluids, the study is organized for latest class termed as ternary nanofluids along with induced magnetic field.

Methodology

The model development done via similarity equations and the properties of ternary nanoparticles, resulting in a nonlinear mathematical model. To analyze the physical results with parametric values performed via RKF-45 scheme.

Study findings

The physical results of the model reveal that the velocity F ( η ) increased with increasing m = 0.1 , 0.2 , 0.3 and λ 1 = 1.0 , 1.2 , 1.3. However, velocity decreased with increasing δ 1 . Tangential velocity G ( η ) reduces rapidly near the wedge surface and increased with increasing M 1 = 1.0 , 1.2 , 1.3. Further, the heat transport in ternary nanofluid was greater than in the hybrid and mono nanofluids. Shear drag and the local thermal gradient increased with increasing λ 1 and these quantities were greatest in the ternary nanofluid.

CLC number: 76-11, 76D05

References

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AIMS Mathematics
Pages 15932-15949

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Cite this article:
Adnan, Abbas W, Eldin SM, et al. Numerical investigation of non-transient comparative heat transport mechanism in ternary nanofluid under various physical constraints. AIMS Mathematics, 2023, 8(7): 15932-15949. https://doi.org/10.3934/math.2023813

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Received: 17 February 2023
Revised: 21 March 2023
Accepted: 23 March 2023
Published: 15 July 2023
©2023 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)