Work

Magnetic field influence on heat transfer of NEPCM in a porous triangular cavity with a cold fin and partial heat sources: AI analysis combined with ISPH method

Year: 2025

Type: article

Abstract: This study employs the Incompressible Smoothed Particle Hydrodynamics (ISPH) method and an Artificial Neural Network (ANN) model to examine the thermal and fluid dynamics behavior of nano-enhanced phase change material (NEPCM) within a triangular cavity containing a fin. The research investigates how varying physical parameters optimize heat transfer efficiency. The analysis spans partial heat source length L B : 0.2 to 0.9 , Darcy number Da : 10 − 2 to 10 − 5 , Hartmann number Ha : 0 to 50 , Cattaneo-Christov heat fluxes δ Ht : 0 to 0.1 , fusion temperature θ f : 0.25 to 0.95 , and nanoparticle concentration ϕ : 0 to 0.06 . Key findings demonstrate that increasing L B by 350 % enhances temperature distribution and nanofluid velocities, reducing the heat capacity ratio Cr by approximately 20 %. The addition of cooling fins decreases peak temperatures by around 15 %. Higher Darcy numbers improve circulation and convection by up to 30 %, creating more uniform thermal distributions, whereas lower Da values restrict fluid motion, intensifying temperature gradients. Increasing the Hartmann number reduces flow and heat transfer efficiency by 40 %, causing sharper temperature gradients, while lower Ha values promote natural convection and more uniform temperature distributions. The fusion temperature θ f stabilizes thermal profiles through latent heat absorption, adjusting Cr by 25 %. A higher nanoparticle concentration boosts the average Nusselt number Nu ̅ by 10 %, improving overall heat transfer efficiency. The ANN model’s training, reflected in a decreasing mean squared error (MSE), demonstrates prediction accuracy, and regression analysis reveals high model reliability, with predictions closely aligning with theoretical Nu ̅ values.

Source: Alexandria Engineering Journal

DOI: 10.1016/j.aej.2025.01.080

Authors: Munirah Aali Alotaibi, Weaam Alhejaili, Abdelraheem M. Aly, Samiyah Almalki

Institutions: Princess Nourah bint Abdulrahman University, King Khalid University

Language: English

Topic: Phase Change Materials Research

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $1,900

Funders: Deanship of Scientific Research, King Khalid University, Deanship of Scientific Research, Princess Nourah Bint Abdulrahman University