Prediction of Entrance Length for Magnetohydrodynamics Channels Flow using Numerical simulation and Artificial Neural Network
Mohammad Hasan Taheri, Nematollah Askari, Mohammad Hadi Mahdavi
Journal of Applied and Computational Mechanics · 2020
doi:10.22055/jacm.2019.29201.1571 (opens in a new tab)
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Abstract
This paper focuses on using the numerical finite volume method (FVM) and artificial neural network (ANN) in order to propose a correlation for computing the entrance length of laminar magnetohydrodynamics (MHD) channels flow. In the first step, for different values of the Reynolds (Re) and Hartmann (Ha) numbers (600<ReL increases.
Abstract licence: CC BY-NC
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