Analyzing geometric parameters in inclined enclosures filled with magnetic nanofluid using artificial neural networks
Author:
Publisher
Elsevier BV
Subject
Applied Mathematics,Computational Mathematics,General Engineering,Analysis
Reference77 articles.
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1. Retraction notice to “Analyzing geometric parameters in inclined enclosures filled with magnetic nanofluid using artificial neural networks” [Engineering Analysis with Boundary Elements 146 (2023) 555-568];Engineering Analysis with Boundary Elements;2024-06
2. An overview of the magnetic field effect on heat transfer and entropy generation in cavities: Application of the second law of thermodynamics and artificial intelligence;International Communications in Heat and Mass Transfer;2024-02
3. INFLUENCE OF LORENTZ FORCES ON FORCED CONVECTION OF NANOFLUID IN A POROUS ENCLOSURE;Journal of Porous Media;2024
4. Computational investigation of double non-uniform magnetic field on heat transfer of nanofluid stream along 180-degree elbow pipe;Case Studies in Thermal Engineering;2023-10
5. The application of non-uniform magnetic field for thermal enhancement of the nanofluid flow inside the U-turn pipe at solar collectors;Scientific Reports;2023-05-25
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