Artificial neural network analysis of the flow of nanofluids in a variable porous gap between two inclined cylinders for solar applications

Artificial neural network analysis of the flow of nanofluids in a variable porous gap between two inclined cylinders for solar applications

Copper (Cu) nanoparticles (NPs) and polyvinyl alcohol (PVA) are utilized to enhance heat transfer (HT) which is used in the efficiency of solar energy systems. Copper nanoparticles have excellent thermal conductivity (TC) properties that enable them to conduct heat efficiently. In this arrangement,...

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Bibliographic Details
Main Authors: Abdulaziz Alotaibi, Taza Gul, Ibrahim Mathker Saleh Alotaibi, Abdullah Alghuried, Ali Saleh Alshomrani, Moahd Alghuson
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:Engineering Applications of Computational Fluid Mechanics
Subjects:
Hybrid nanofluid consisting of Cu and PVA
solar radiations
variable porous space
inclined concentric cylinders
Artificial Neural Network (ANN)
control volume finite element method (CVFEM)
Online Access:https://www.tandfonline.com/doi/10.1080/19942060.2024.2343418
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