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Research Article | Open Access

Integrated ISPH approach with artificial neural network for magnetic influences on double diffusion of a non-Newtonian NEPCM in a curvilinear cavity

Weaam Alhejaili1( )Munirah Alotaibi1Abdelraheem M. Aly2
Department of Mathematical Sciences, College of Science, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia
Department of Mathematics, College of Science, King Khalid University, P.O. Box 9004, Abha 61413, Saudi Arabia
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Abstract

The artificial neural network (ANN) in conjunction with the incompressible smoothed particle hydrodynamics (ISPH) approach, deals with exothermic reaction effects on Cattaneo-Christov (Ca-Ch) heat and mass transport of nano-enhanced phase change material (NEPCM) in a curvilinear cavity. The ANN model, trained on data obtained from ISPH simulations, accurately predicted the mean Nu¯ and Sh¯ values. Two cases of boundary conditions included (Th&Ch) on top/bottom walls and (Tc&Cc) on vertical walls and inner ellipse for C1. The boundary walls of a curvilinear cavity were kept at (Th&Ch) and the inner ellipse was maintained at (Tc&Cc) for C2. The pertinent parameters were scaled as Frank-Kamenetskii number Fk(01,) Ca–Ch heat, mass transfer parameters (δθ&δΦ)(00.2), Hartmann number Ha(060), buoyancy ratio parameter N(24), power law index parameter n(1.11.4), Rayleigh number Ra(103105), Soret/Dufour numbers (Sr&Du)(00.5), and fusion temperature θf(0.10.9). The simulation results demonstrated the effectiveness of Ca-Ch heat and mass transport parameters in lowering temperature and concentration within a curvilinear cavity at C1 and C2. Increasing δθ&δΦ from 0 to 0.2 resulted in a 44.1% and 48.9% drop in velocity field at C1 and C2, respectively. Boundary conditions (C1 and C2) significantly affected mass, heat transfer, heat capacity ratio, and velocity field within a curvilinear cavity. An increase in Power law index n from 1.1 to 1.4, reduced a velocity field by 64.68% and 64.66% at C1 and C2, respectively. Increasing Sr and Du helped distribute concentration. When Sr and Du were raised from 0 to 0.5, the velocity field increased by 34.17% and 29.73%, respectively, at C1 and C2.

CLC number: 76R10, 76M28, 35Q35, 68T07

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AIMS Mathematics
Pages 35432-35470

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Cite this article:
Alhejaili W, Alotaibi M, Aly AM. Integrated ISPH approach with artificial neural network for magnetic influences on double diffusion of a non-Newtonian NEPCM in a curvilinear cavity. AIMS Mathematics, 2024, 9(12): 35432-35470. https://doi.org/10.3934/math.20241683

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Received: 23 August 2024
Revised: 26 November 2024
Accepted: 29 November 2024
Published: 15 December 2024
©2024 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)