Numerical investigation and ANN-assisted prediction of temperature amplitude and radiative heat transfer performance of MHD gold-water nanofluid over thin-walled heat exchanger plate.

Alsamani A M Salih, Zia Ullah, Feyisa Edosa Merga, Mhamed Benaissa, Djamel Ghernaout, Riadh Marzouki, Nidhal Ben Khedher

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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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7 authors.

Alsamani A M SalihChemical Engineering Department, College of Engineering, University of Ha'il, P.O. Box 2440, 81441, Hail, Saudi Arabia.

Zia UllahCenter of Turbulence Control, Harbin Institute of Technology (Shenzhen), Shenzhen, 518055, China. ziakhan.uos.72@gmail.com.

Feyisa Edosa MergaDepartment of Mathematics, Jimma University, Jimma, Oromia, Ethiopia. edosa.feyisa@ju.edu.et.

Mhamed BenaissaChemical Engineering Department, College of Engineering, University of Ha'il, P.O. Box 2440, 81441, Hail, Saudi Arabia.

Djamel GhernaoutChemical Engineering Department, College of Engineering, University of Ha'il, P.O. Box 2440, 81441, Hail, Saudi Arabia.

Riadh MarzoukiChemistry Department, College of Science, King Khalid University, P.O. Box 9004, 61413, Abha, Saudi Arabia.

Nidhal Ben KhedherDepartment of Mechanical Engineering, College of Engineering, University of Ha'il, 81451, Ha'il, Saudi Arabia.

Funding

University of Hail RG-24 147

6 · The paper itself

Abstract

This study evaluates the amplitude of fluid temperature and periodic sequence of heat and mass transfer in Au-water nanofluid flow over thin-walled heat exchanger plate. The thermal performance of plate is predicted using exothermic reaction, nonlinear radiation and magnetic field. The convergence and accuracy of fluid temperature is predicted through Levenberg-Marquardt based neural network scheme. The activation energy is applied to improve temperature and concentration rate over plate. The governing model is solved through dimensionless variables, stokes transformation and complex variables. The primitive based steady, real and imaginary models are generated to develop steady and oscillatory flow features of heat ad mass transfer. Implicit finite difference method is used for asymptotic behavior of numerical results with Gaussian elimination approach. The numerical and graphical results of unknown quantities are displayed through various parameters such as exothermic reaction K

Indexed as

Artificial neural networkCatalytic reaction and activation energyGold-water nanofluidNonlinear radiation and magnetic fieldOscillatory heat and mass transferThin-walled heat exchanger plate

Identifiers

PMID42606644

DOI10.1186/s11671-026-04856-4

PMCPMC13481975

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