Prediction of Entrance Length for Magnetohydrodynamics Channels Flow using Numerical simulation and Artificial Neural Network

Document Type: Research Paper


Department of Mechanical Engineering, Faculty of Imam Khomeini, Behshahr Branch, Technical and Vocational University (TVU), Mazandaran, Iran


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.


Main Subjects

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