An effective neural network approach to reproduce magnetic hysteresis in electrical steel under arbitrary excitation waveforms

SQ Antonio, FR Fulginei, A Laudani, A Faba… - Journal of Magnetism …, 2021 - Elsevier
A computationally efficient and robust neural network-based model to reproduce the
hysteresis phenomenon for soft ferromagnetic alloys is here presented, as well as a …

An overview of non-destructive testing of goss texture in grain-oriented magnetic steels

A Faba, S Quondam Antonio - Mathematics, 2021 - mdpi.com
Grain oriented steels are widely used for electrical machines and components, such as
transformers and reactors, due to their high magnetic permeability and low power losses …

Advanced soft-and hard-magnetic material models for the numerical simulation of electrical machines

N Leuning, S Elfgen, B Groschup… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
Accurate modeling of soft-and hard-magnetic materials for the numerical simulation of
rotating electrical machines is required to allow predictions on the operational …

A modified inverse vector hysteresis model for nonoriented electrical steels considering anisotropy for FEA

S Yue, PI Anderson, Y Li, Q Yang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This paper presents a modified Mayergoyz-based vector hysteresis model to describe the
anisotropic material behavior of nonoriented (NO) steels over a wide range of rotational …

Implementation of the single hysteron model in a finite-element scheme

E Cardelli, A Faba, A Laudani… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
The single hysteron model is identified to reconstruct the magnetization processes of a grain-
oriented electrical steel and it is implemented in a finite-element scheme. The model …

Circuit Modelling of Static Magnetic Losses of Ferrite Cores and Application on an LLC Converter

V Bertolini, M Stella, R Scorretti - IEEE EUROCON 2023-20th …, 2023 - ieeexplore.ieee.org
An accurate circuital model is used to take into account the real behavior of magnetic
components. Non-linearity and hysteresis losses are taken into account by proper circuital …

Analytical formulation to estimate the dynamic energy loss in electrical steels: Effectiveness and limitations

SQ Antonio, GM LoZito, ARM Ghanim… - Physica B: Condensed …, 2020 - Elsevier
This article aims to investigate the accuracy in modeling and characterization of the dynamic
energy loss of modern laminated electrical steels in use for power electronics applications …

Optimum identification of iron loss models in NGO electrical steel for power electronics

SQ Antonio - 2019 IEEE 5th International forum on Research …, 2019 - ieeexplore.ieee.org
Prediction and modelling of the dynamic power losses, and their decomposition into the
hysteresis and eddy current contributions, in laminated ferromagnetic materials is not a …

Neural Estimator for Inductor Losses in Buck DC-DC Converters Operating in CCM

GM Lozito, V Bertolini, FR Fulginei… - IEEE EUROCON …, 2023 - ieeexplore.ieee.org
In this work, a methodology to assess the losses related to the main inductor in a Buck DC-
DC converter is proposed. The losses are related to the current waveform and the magnetic …

A magneto-rheological brake excited by permanent magnets

A Musolino, M Raugi, R Rizzo… - The Applied …, 2019 - journals.riverpublishers.com
In this paper an innovative brake, based on magneto-rheological fluids, is described. A
system of Permanent Magnets, properly arranged in the device, has been designed to …