2012
DOI: 10.1016/j.jmmm.2012.02.043
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Frequency characterization of thin soft magnetic material layers used in spiral inductors

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Cited by 16 publications
(6 citation statements)
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“…The curve corresponding to the experimental values shows that the inductance decreases with the increase of the frequency. This decrease is expected because in reality, the permeability of magnetic material decreases when the frequency increases [10]. But the simulated inductance remains practically constant versus frequency up to 0.9 GHz.…”
Section: Frequency Behavior Of the Inductancementioning
confidence: 79%
“…The curve corresponding to the experimental values shows that the inductance decreases with the increase of the frequency. This decrease is expected because in reality, the permeability of magnetic material decreases when the frequency increases [10]. But the simulated inductance remains practically constant versus frequency up to 0.9 GHz.…”
Section: Frequency Behavior Of the Inductancementioning
confidence: 79%
“…Same results are observed for thin magnetic films, but the decreasing of the measured inductance is less noticeable. However, the simulated values of the inductance remain practically constant because the permeability is maintained constant during the simulation for all frequencies [25]. By comparing results obtained for thin and thick magnetic layers with the inductance without magnetic material ( fig.…”
Section: Micro-integrated Inductor With Yig Layermentioning
confidence: 98%
“…Sin embargo, presenta varias desventajas, entre ellas la pérdida del sentido físico de las variables que hacen que un diseño y no otro sea el óptimo. Debido a esto, se hace muy difícil comparar el diseño óptimo conseguido, con otros diseños que son similares, aunque no se consideren óptimos desde el punto de vista de las variables elegidas, pero que podrían presentar ventajas adicionales, no consideradas en las funciones de coste, tales como una menor complejidad del diseño o un menor coste [56]. Otra desventaja de la aproximación numérica proviene de la complejidad de las ecuaciones utilizadas y de la enorme cantidad de datos generados al resolverlas para cada combinación de parámetros.…”
Section: Aproximación Basada En Modelos Simplificadosunclassified