AI-enhanced discharge performance in hexagonal shell and finned tube latent heat storage using combined longitudinal smooth and Y-shaped fins

AI-enhanced discharge performance in hexagonal shell and finned tube latent heat storage using combined longitudinal smooth and Y-shaped fins

The aim of this study is to enhance the discharge performance of shell and finned-tube heat exchanger using hexagon shell. Different fins arrangement including combinations of longitudinal straight and Y-shaped fins in uniform and non-uniform forms are assessed. An artificial intelligence approach b...

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Bibliographic Details
Main Authors: Khalil Hajlaoui, Hakim S.Sultan Aljibori, Hayder I. Mohammed, Wahiba Yaïci, Mohammad Edalatifar, Nashmi H. Alrasheedi, Mohammad Ghalambaz, Pouyan Talebidadehsardari
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Case Studies in Thermal Engineering
Subjects:
Non-uniform fin distribution
Phase change materials (PCMs)
Thermal stratification
Convection suppression
Heat recovery rate
Online Access:http://www.sciencedirect.com/science/article/pii/S2214157X25008433
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http://www.sciencedirect.com/science/article/pii/S2214157X25008433

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