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MHD Stability of Streaming Jet Using Artificial Intelligence Technique

Published online by Cambridge University Press:  09 August 2012

Mostafa A. M. Abdeen  and
Alfaisal A. Hasan
Mostafa A. M. Abdeen*
Affiliation:
Department of Engineering Mathematics and Physics, Faculty of Engineering, Cairo University, Giza 12211, Egypt
Alfaisal A. Hasan
Affiliation:
Basic and Applied Sciences Department, College of Engineering and Technology, Arab Academy for Science & Technology and Maritime Transport (AASTMT), Elhorria, Cairo, Egypt
*
*Corresponding author (Mostafa_a_m_abdeen@hotmail.com)
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Abstract

Mathematical formulation for Magnetohydrodynamic (MHD) stability of a streaming cylindrical model penetrated by varying transverse magnetic field is presented. Eigen value relation is derived and discussed analytically. In the current paper, Artificial Neural Network (ANN) model, one of the artificial intelligence techniques, is developed to simulate the stability of streaming jet penetrated by magnetic field. The ANN results presented in the current study showed that ANN technique, with less effort and time, is very efficiently capable of simulating and predicting the effect of magnetic field variation and axial exterior field on the stability of the streaming jet. The influence of magnetic field has a stabilizing effect for all short and long wavelengths. However the streaming is strongly destabilizing.

Keywords

MagnetohydrodynamicStreaming jetMagnetic fieldNumerical simulationArtificial neural network
Type
Articles
Information
Journal of Mechanics , Volume 28 , Issue 3 , September 2012 , pp. 453 - 459
Copyright
Copyright © The Society of Theoretical and Applied Mechanics, R.O.C. 2012

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