Artificial Neural Network and Response Surface Methodology-Driven Optimization of Cu–Al<sub>2</sub>O<sub>3</sub>/Water Hybrid Nanofluid Flow in a Wavy Enclosure with Inclined Periodic Magnetohydrodynamic Effects

Artificial Neural Network and Response Surface Methodology-Driven Optimization of Cu–Al<sub>2</sub>O<sub>3</sub>/Water Hybrid Nanofluid Flow in a Wavy Enclosure with Inclined Periodic Magnetohydrodynamic Effects

This study explores the optimization of a Cu–Al<sub>2</sub>O<sub>3</sub>/water hybrid nanofluid within an irregular wavy enclosure under inclined periodic MHD effects. Hybrid nanofluids, with different mixture ratios of copper (Cu) and alumina (Al<sub>2</sub>O<...

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Bibliographic Details
Main Authors: Tarikul Islam, Sílvio Gama, Marco Martins Afonso
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Mathematics
Subjects:
ANN/RSM
FEM
hybrid nanofluid
inclined periodic MHD
optimization
Online Access:https://www.mdpi.com/2227-7390/13/1/78
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