Caracterização e modelagem da histerese e das perdas magnéticas em aços elétricos através do SCaMMa
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2016-10-26
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Universidade Federal de Goiás
Resumo
Initially in this work, are presented the development and implementation of a new
methodology to control the magnetic induction waveform, which was inserted into the automated
measurement system for the characterization of soft magnetic materials, called
SCaMMa. In the sequence, studies related to the magnetic hysteresis and to the magnetic
losses, especially in silicon steels, are presented. The magnetic hysteresis in silicon steels has
been analysed through the inverse version of the Jiles–Atherton classical model and through a
modified one found in the literature. Concerning the determination of its parameters, the theory
and the computational implementation of the heuristic method known as “Shuffled Frog
Leaping Algorithm (SFLA)” have been addressed. Within this context, it was possible to investigate
two drawbacks of the Jiles–Atherton model: i) the modeling of the so–called inner
loops; and ii) the modeling of the minor loops. In the study of the magnetic losses in silicon
steels, it was employed in this work the Bertotti´s model, which establishes the total magnetic
losses division in three independent components: hysteresis losses, classical losses, and excess
losses. It was investigated two versions of this model, so–called B1 and B2, in which the
magnetic hysteresis losses are modeled respectively through the Steinmetz´s model and
through the theory of two–portion hysteresis losses subdivision: the one so-called high induction
hysteresis losses, and the other, low induction hysteresis losses. Due to some failures, a
new approach was chosen reviewing two of the model coefficients calculation: the one related
to the classic loss, and the other related to the excess loss. After this reviewing, the magnetic
loss models could present predictions that are more exact.
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PINHEIRO, M. L. P. Caracterização e modelagem da histerese e das perdas magnéticas em aços elétricos através do SCaMMa. 2016. 206 f. Dissertação (Mestrado em Engenharia Elétrica e da Computação) - Universidade Federal de Goiás, Goiânia, 2016.