Analyzing geometric parameters in inclined enclosures filled with magnetic nanofluid using artificial neural networks
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Publication:6040726
DOI10.1016/J.ENGANABOUND.2022.11.004zbMath1521.76905MaRDI QIDQ6040726
As'ad Alizadeh, P. Singh, Sameer Alsharif, Masood Ashraf Ali, Tao Hai
Publication date: 22 May 2023
Published in: Engineering Analysis with Boundary Elements (Search for Journal in Brave)
Artificial neural networks and deep learning (68T07) Magnetohydrodynamics and electrohydrodynamics (76W05)
Cites Work
- Inclination effects of magnetic field direction in 3D double-diffusive natural convection
- Experimental determination of thermal conductivity of three nanofluids and development of new correlations
- Pore-scale simulation of non-Newtonian power-law fluid flow and forced convection in partially porous media: thermal lattice Boltzmann method
- MHD natural convection and entropy generation in a trapezoidal enclosure using Cu-water nanofluid
- A steepest gradient method for optimum structural design
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