<p>Breakthroughs in electrification, intelligent systems, and carbon-neutral technologies are driving an urgent demand for soft magnetic materials that simultaneously deliver high saturation magnetic flux density (<InlineEquation ID="IEq1"> <EquationSource Format="TEX">\({B}_{\text{s}}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>B</mi> <mtext>s</mtext> </msub> </math></EquationSource> </InlineEquation>), low coercivity (<InlineEquation ID="IEq2"> <EquationSource Format="TEX">\({H}_{\text{c}}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>H</mi> <mtext>c</mtext> </msub> </math></EquationSource> </InlineEquation>), large effective permeability (<InlineEquation ID="IEq3"> <EquationSource Format="TEX">\({\mu }_{\text{e}}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>μ</mi> <mtext>e</mtext> </msub> </math></EquationSource> </InlineEquation>), and superior high-frequency stability. Fe-based amorphous and nanocrystalline alloys uniquely combine these attributes with excellent thermal stability and mechanical robustness, positioning them as prime candidates for next-generation energy systems. However, the composition–structure–property relationship remains only partially understood, and scalable strategies to translate laboratory performance into industrial deployment are still underdeveloped. To address these challenges, a unified framework integrating magnetic theory, microstructural design, and emerging computational methodologies is established. The roles of grain size, amorphous/nanocrystalline coupling, and alloying strategies in governing <InlineEquation ID="IEq4"> <EquationSource Format="TEX">\({B}_{\text{s}}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>B</mi> <mtext>s</mtext> </msub> </math></EquationSource> </InlineEquation>, <InlineEquation ID="IEq5"> <EquationSource Format="TEX">\({H}_{\text{c}}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>H</mi> <mtext>c</mtext> </msub> </math></EquationSource> </InlineEquation>, <InlineEquation ID="IEq6"> <EquationSource Format="TEX">\({\mu }_{\text{e}}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>μ</mi> <mtext>e</mtext> </msub> </math></EquationSource> </InlineEquation>, and Curie temperature (<InlineEquation ID="IEq7"> <EquationSource Format="TEX">\({T}_{\text{c}}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>T</mi> <mtext>c</mtext> </msub> </math></EquationSource> </InlineEquation>) are elucidated by linking classical models (Herzer’s random anisotropy, Suzuki’s coupling) with density functional theory and machine learning driven predictions. Representative fabrication routes,&#xa0;including rapid solidification, magnetic-field annealing, spark plasma sintering, and additive manufacturing,&#xa0;are critically assessed in terms of both performance optimization and scalability. Notably, Fe-based nanocrystalline alloys such as FINEMET and NANOPERM achieve <InlineEquation ID="IEq8"> <EquationSource Format="TEX">\({B}_{\text{s}}&gt;1.5 \text{ T}\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <msub> <mi>B</mi> <mtext>s</mtext> </msub> <mo>&gt;</mo> <mn>1.5</mn> <mspace width="0.333333em" /> <mtext>T</mtext> </mrow> </math></EquationSource> </InlineEquation>, <InlineEquation ID="IEq9"> <EquationSource Format="TEX">\({H}_{\text{c}}&lt;10 \text{ A}/\text{m}\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <msub> <mi>H</mi> <mtext>c</mtext> </msub> <mo>&lt;</mo> <mn>10</mn> <mspace width="0.333333em" /> <mtext>A</mtext> <mo stretchy="false">/</mo> <mtext>m</mtext> </mrow> </math></EquationSource> </InlineEquation>, and core-loss reductions of 40%–70% relative to Si-steel, enabling high-efficiency transformers and power converters. A forward-looking roadmap&#xa0;is concluded for developing low-cost, high-performance Fe-based soft magnetic materials, bridging fundamental research and industrial application.</p>

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Fe-based amorphous/nanocrystalline soft magnetic materials: from fundamental research to industrial applications

  • Xu-Yang Wang,
  • Qian-Nan Li,
  • Yue-Kun Wang,
  • Dan Liu,
  • Yong-Mei Liang,
  • Ya-Qiang Li,
  • Dong-Xiao Ma,
  • Guang-Qian Zhu,
  • Yao-Li Ji,
  • Guang-Sheng Wei,
  • Bao-Chen Han

摘要

Breakthroughs in electrification, intelligent systems, and carbon-neutral technologies are driving an urgent demand for soft magnetic materials that simultaneously deliver high saturation magnetic flux density ( \({B}_{\text{s}}\) B s ), low coercivity ( \({H}_{\text{c}}\) H c ), large effective permeability ( \({\mu }_{\text{e}}\) μ e ), and superior high-frequency stability. Fe-based amorphous and nanocrystalline alloys uniquely combine these attributes with excellent thermal stability and mechanical robustness, positioning them as prime candidates for next-generation energy systems. However, the composition–structure–property relationship remains only partially understood, and scalable strategies to translate laboratory performance into industrial deployment are still underdeveloped. To address these challenges, a unified framework integrating magnetic theory, microstructural design, and emerging computational methodologies is established. The roles of grain size, amorphous/nanocrystalline coupling, and alloying strategies in governing \({B}_{\text{s}}\) B s , \({H}_{\text{c}}\) H c , \({\mu }_{\text{e}}\) μ e , and Curie temperature ( \({T}_{\text{c}}\) T c ) are elucidated by linking classical models (Herzer’s random anisotropy, Suzuki’s coupling) with density functional theory and machine learning driven predictions. Representative fabrication routes, including rapid solidification, magnetic-field annealing, spark plasma sintering, and additive manufacturing, are critically assessed in terms of both performance optimization and scalability. Notably, Fe-based nanocrystalline alloys such as FINEMET and NANOPERM achieve \({B}_{\text{s}}>1.5 \text{ T}\) B s > 1.5 T , \({H}_{\text{c}}<10 \text{ A}/\text{m}\) H c < 10 A / m , and core-loss reductions of 40%–70% relative to Si-steel, enabling high-efficiency transformers and power converters. A forward-looking roadmap is concluded for developing low-cost, high-performance Fe-based soft magnetic materials, bridging fundamental research and industrial application.