This dissertation presents our contribution on the field of applied electromagnetism. Our work has mainly been focused on the design and modeling of devices exploiting magneto-mechanical properties (e.g. magnetic levitation (MagLev) systems, Electromagnetic Launchers (EML), electro-dynamic bearings). The numerical modeling of the problem has been designed through a low frequency integral formulation of the Maxwell equations coupled with the Newton Euler dynamics equations. The non-linear system has been solved wit different schemes, mainly based on predictor corrector approaches. A C framework exploiting GPGPU capability (Nvidia CUDA) has been developed and validated by comparison with experimental results or FEM simulations. A lot of interest has also been posed to the design of innovative electro-mechanical devices, that have been deeply analysed and simulated by the developed numerical formulation.

Numerical and analytical models for electromechanical motion systems.

2014

Abstract

This dissertation presents our contribution on the field of applied electromagnetism. Our work has mainly been focused on the design and modeling of devices exploiting magneto-mechanical properties (e.g. magnetic levitation (MagLev) systems, Electromagnetic Launchers (EML), electro-dynamic bearings). The numerical modeling of the problem has been designed through a low frequency integral formulation of the Maxwell equations coupled with the Newton Euler dynamics equations. The non-linear system has been solved wit different schemes, mainly based on predictor corrector approaches. A C framework exploiting GPGPU capability (Nvidia CUDA) has been developed and validated by comparison with experimental results or FEM simulations. A lot of interest has also been posed to the design of innovative electro-mechanical devices, that have been deeply analysed and simulated by the developed numerical formulation.
1-lug-2014
Italiano
Musolino, Antonino
Rizzo, Rocco
Díez Jiménez, Efrén
Tartagni, Marco
Università degli Studi di Pisa
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14242/140576
Il codice NBN di questa tesi è URN:NBN:IT:UNIPI-140576