In this paper, the best laser powder bed fusion (L-PBF) printing conditions for FeSi steels with two different Si content (3.0% and 6.5%) are defined. Results show very strict …
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 …
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 …
F Corti, A Hassan Shehata, A Laudani, E Cardelli - Energies, 2021 - mdpi.com
In this paper, a conventional 12-pulse transformer unit (CTU) and an autotransformer 12- pulse transformer unit (ATU) are compared in the view of the RTCA DO-160 standard for …
GM Lozito, M Quercio, L Sabino… - … on Electrical Machines …, 2024 - ieeexplore.ieee.org
Hereby presented is a comparative analysis of different deep neural network models aimed at simulating magnetic hysteresis under distorted excitation waveforms. Specifically feed …
A computationally efficient hysteresis model, based on a standalone deep neural network, with the capability of reproducing the evolution of the magnetization under arbitrary …
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 …
A thorough investigation of the 2-D hysteresis processes under arbitrary excitations was carried out for a specimen of innovative Fe-Si magnetic powder material. The vector …
The knowledge of the magnetic characteristic of an inductor is a key factor for the design of filters of power converter systems for electric grid interfaces. The accurate and reliable …