Artificial neural network with incompressible smoothed particle hydrodynamics for exothermic chemical reaction on heat and mass transfer in a rectangular annulus

Artificial neural network with incompressible smoothed particle hydrodynamics for exothermic chemical reaction on heat and mass transfer in a rectangular annulus

Abstract This work aims to simulate the impacts of exothermic reaction and Soret–Dufour numbers on the double diffusion of Nano Enhanced Phase Change Materials (NEPCM) inside a porous annulus. The complex rectangular annulus contains two ellipses and two triangles on the walls’ vertical sides. The c...

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Bibliographic Details
Main Authors: Alaa Allakany, Noura Alsedias, Abdelraheem M. Aly
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Dufour number
Exothermic reaction
Double diffusion
NEPCMS
Porous media
Soret number
Online Access:https://doi.org/10.1038/s41598-024-64821-y
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https://doi.org/10.1038/s41598-024-64821-y

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