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

نویسندگان

  • Mohammad Hadi Mahdavi Department of Mechanical Engineering, Faculty of Imam Khomeini, Behshahr Branch, Technical and Vocational University (TVU), Mazandaran, Iran
  • Mohammad Hasan Taheri Department of Mechanical Engineering, Faculty of Imam Khomeini, Behshahr Branch, Technical and Vocational University (TVU), Mazandaran, Iran
  • Nematollah Askari Department of Mechanical Engineering, Faculty of Imam Khomeini, Behshahr Branch, Technical and Vocational University (TVU), Mazandaran, Iran
چکیده مقاله:

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.

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عنوان ژورنال

دوره 6  شماره 3

صفحات  582- 592

تاریخ انتشار 2020-07-01

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