Title :
Artificial neural networks for finite element modeling of giant magnetostrictive devices
Author :
Benbouzid, M.E.H.
Author_Institution :
Picardie Univ., Amiens, France
fDate :
11/1/1998 12:00:00 AM
Abstract :
The author investigates the contribution of artificial neural networks to the improvement of giant magnetostrictive devices nonlinear modeling. In fact, the use of experimental data through artificial neural networks modeling allows the introduction of the magnetostrictive coupling. The proposed model has been tested on a basic magnetostrictive actuator
Keywords :
actuators; finite element analysis; magnetostrictive devices; neural nets; artificial neural network; finite element model; giant magnetostrictive device; magnetostrictive actuator; magnetostrictive coupling; nonlinear model; Artificial neural networks; Couplings; Finite element methods; Magnetic devices; Magnetic domains; Magnetic materials; Magnetoelasticity; Magnetostatics; Magnetostriction; Magnetostrictive devices;
Journal_Title :
Magnetics, IEEE Transactions on
