Magnetic source impact on nanofluid heat transfer using CVFEM

• Published in: Neural computing & applications Vol. 30; no. 4; pp. 1055 - 1064
• Main Author: Sheikholeslami, M.
• Format: Journal Article
• Language: English
• Published: London Springer London 01-08-2018; Springer Nature B.V
• Subjects: Artificial Intelligence; Augmentation; Boundary layer thickness; Computational Biology/Bioinformatics; Computational Science and Engineering; Computer Science; Cylinders; Data Mining and Knowledge Discovery; Heat transfer; Image Processing and Computer Vision; Iron oxides; Nanofluids; Numerical methods; Original Article; Parameters; Probability and Statistics in Computer Science; Radiation effects; Temperature gradients; Thermal boundary layer; Circular wall; CVFEM; Nanofluid; Free convection; Magnetic field
• ISSN: 0941-0643; 1433-3058
• DOI: 10.1007/s00521-016-2740-7

Influence of variable magnetic field on Fe
3
O
4
–H
2
O heat transfer in a cavity with circular hot cylinder is investigated. Innovative numerical method is chosen, namely CVFEM. The effects of radiation parameter, Rayleigh and Hartmann numbers on hydrothermal characteristics are presented. Results indicated that Lorentz forces cause the nanofluid motion to decrease and augment the thermal boundary layer thickness. Temperature gradient augments with augmentation of radiation parameter, Rayleigh number, but it reduces with augmentation of Lorentz forces.