2015
DOI: 10.4028/www.scientific.net/ssp.220-221.652
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Modeling Hysteresis Loops of SMC Cores

Abstract: Hysteresis modeling plays an important role for the designers of magnetic circuits. The paper considers the effect of processing temperature on magnetic properties of SMC cores. The hysteresis loops of the SMC cores are described using two recent modifications of phenomenological models.

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Cited by 9 publications
(11 citation statements)
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“…The JA model was used previously for the SMC materials by Benabou et al [28], Zidarič and Miljavec [29] and by Ślusarek et al [30]. The paper [28] compared the capabilities of classical JA 9odel to the Preisach approach.…”
Section: Ofmentioning
confidence: 99%
See 1 more Smart Citation
“…The JA model was used previously for the SMC materials by Benabou et al [28], Zidarič and Miljavec [29] and by Ślusarek et al [30]. The paper [28] compared the capabilities of classical JA 9odel to the Preisach approach.…”
Section: Ofmentioning
confidence: 99%
“…The authors of [29] suggested that the reversibility parameter c should be made dependent on the excitation amplitude. The paper [30] analyzed the dependence of model parameters on processing temperature for commercial Somalloy 500 samples. The modified JA model [31] was used in modeling.…”
Section: Ofmentioning
confidence: 99%
“…In the present paper we focus on the possibility of applying the JAS model to self-developed soft magnetic (SMC) cores. The JA model was used previously for the SMC materials by Benabou et al [37], Zidarič and Miljavec [38] and byŚlusarek et al [39]. The paper [37] compared the capabilities of classical JA model to the Preisach approach.…”
Section: Introductionmentioning
confidence: 99%
“…The authors of [38] suggested that the reversibility parameter c should be made dependent on the excitation amplitude. The paper [39] analyzed the dependence of model parameters on processing temperature for commercial Somaloy 500 samples. The modified JA model [40] was used in modeling.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation