Vector Hysteresis Processes for Innovative Fe-Si Magnetic Powder Cores: Experiments and Neural Network Modeling
نویسندگان
چکیده
A thorough investigation of the 2-D hysteresis processes under arbitrary excitations was carried out for a specimen innovative Fe-Si magnetic powder material. The vector experimental measurements were first performed via single disk tester (SDT) apparatus controlled induction field, taking into account circular, elliptic, and scalar processes. data relative to circular loops utilized identify model based on feedforward neural networks (NNs), having as an input B output field H. Then validated by simulation other comparison between calculated measured evidenced capability in both reconstruction trajectory prediction power loss various excitation waveforms. Finally, computational efficiency makes it suitable future application finite element analysis (FEA).
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ژورنال
عنوان ژورنال: Magnetochemistry
سال: 2021
ISSN: ['2312-7481']
DOI: https://doi.org/10.3390/magnetochemistry7020018