Application of genetic algorithms to an inverse field problem in magnetic fluid dynamics

The purpose of the present work is to study whether genetic algorithms can solve an inverse field problem in magnetic fluid dynamics (MFD) efficiently. We have investigated how the interface between two fluids of different conductivity in a highly simplified model of an aluminum electrolysis cell ca...

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Bibliographic Details
Main Authors: Kuilekov Milko, Ziolkowski Marek, Brauer Hartmut
Format: Article
Language:English
Published: Faculty of Technical Sciences in Cacak 2003-01-01
Series:Serbian Journal of Electrical Engineering
Subjects:
Online Access:http://www.doiserbia.nb.rs/img/doi/1451-4869/2003/1451-48690301001K.pdf
Description
Summary:The purpose of the present work is to study whether genetic algorithms can solve an inverse field problem in magnetic fluid dynamics (MFD) efficiently. We have investigated how the interface between two fluids of different conductivity in a highly simplified model of an aluminum electrolysis cell can be reconstructed by means of external magnetic field measurements. The knowledge of the interface deformation can be used to prevent undesired instabilities in aluminum reduction cells .
ISSN:1451-4869
2217-7183