Computational study of cobalt-modified nickel-ferrite/PZT magnetoelectric composites for voltage tunable inductor applications

Liwei D. Geng, Yongke Yan, Shashank Priya, Yu U. Wang

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Control of magnetic permeability through voltage in magnetoelectric materials promises to create novel voltage tunable inductors. Domain-level phase field modeling and computer simulation are employed to study magnetoelectric composites of Co-modified NiCuZn ferrite and PZT, where ferrite outperforms metallic magnetostrictive materials at high frequencies important for inductor applications. The simulations focus on the interplay between magnetocrystalline anisotropy and stress-induced anisotropy and reveal different regimes of permeability and tunability behaviors. It is shown that the permeability and its tunability can be significantly increased by reducing the intrinsic magnetocrystalline anisotropy through doping NiCuZn-ferrite with Co 2+ to form solid solution (1-x)(Ni 0.6 Cu 0.2 Zn 0.2 )Fe 2 O 4 -xCoFe 2 O 4 , and the optimal performance is achieved at vanishing magnetocrystalline anisotropy constant K 1 = 0 corresponding to composition x∼0.02. The findings are confirmed by complementary experiments with good agreements. The effect of internal bias stress is further investigated, which is shown to shift the permeability regimes and thus provides an effective engineering technique to optimize the voltage tunable inductor performance. A tunability as high as ∼500% is obtained under the optimal condition, which is much higher than that obtained in conventional high-frequency voltage tunable inductors.

Original languageEnglish (US)
Pages (from-to)493-502
Number of pages10
JournalActa Materialia
Volume166
DOIs
StatePublished - Mar 1 2019

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Cobalt
Magnetocrystalline anisotropy
Ferrite
Nickel
Composite materials
Electric potential
Magnetic permeability
Solid solutions
Anisotropy
Doping (additives)
nickel ferrite
Computer simulation
Chemical analysis
Experiments

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Ceramics and Composites
  • Polymers and Plastics
  • Metals and Alloys

Cite this

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title = "Computational study of cobalt-modified nickel-ferrite/PZT magnetoelectric composites for voltage tunable inductor applications",
abstract = "Control of magnetic permeability through voltage in magnetoelectric materials promises to create novel voltage tunable inductors. Domain-level phase field modeling and computer simulation are employed to study magnetoelectric composites of Co-modified NiCuZn ferrite and PZT, where ferrite outperforms metallic magnetostrictive materials at high frequencies important for inductor applications. The simulations focus on the interplay between magnetocrystalline anisotropy and stress-induced anisotropy and reveal different regimes of permeability and tunability behaviors. It is shown that the permeability and its tunability can be significantly increased by reducing the intrinsic magnetocrystalline anisotropy through doping NiCuZn-ferrite with Co 2+ to form solid solution (1-x)(Ni 0.6 Cu 0.2 Zn 0.2 )Fe 2 O 4 -xCoFe 2 O 4 , and the optimal performance is achieved at vanishing magnetocrystalline anisotropy constant K 1 = 0 corresponding to composition x∼0.02. The findings are confirmed by complementary experiments with good agreements. The effect of internal bias stress is further investigated, which is shown to shift the permeability regimes and thus provides an effective engineering technique to optimize the voltage tunable inductor performance. A tunability as high as ∼500{\%} is obtained under the optimal condition, which is much higher than that obtained in conventional high-frequency voltage tunable inductors.",
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Computational study of cobalt-modified nickel-ferrite/PZT magnetoelectric composites for voltage tunable inductor applications. / Geng, Liwei D.; Yan, Yongke; Priya, Shashank; Wang, Yu U.

In: Acta Materialia, Vol. 166, 01.03.2019, p. 493-502.

Research output: Contribution to journalArticle

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AU - Yan, Yongke

AU - Priya, Shashank

AU - Wang, Yu U.

PY - 2019/3/1

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