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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

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 ho...

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Principais autores: Munirah Aali Alotaibi, Weaam Alhejaili, Abdelraheem M. Aly, Samiyah Almalki
Formato: Artigo
Idioma:Inglês
Publicado em: Elsevier 2025-04-01
coleção:Alexandria Engineering Journal
Assuntos:
Artificial intelligence
ISPH method
Magnetic field
Tringle cavity
Porous media
Acesso em linha:http://www.sciencedirect.com/science/article/pii/S1110016825001061
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