2026-10-11T23:05:05Z https://www.scidb.cn/oai

10.57760/sciencedb.j00273.00042 2026-06-02T16:26:10Z

2026-06-02 Research progress in preparation technology of high-performance Fe-Si-Cr magnetic powder cores doi:10.57760/sciencedb.j00273.00042 en With the stringent requirements for lightweight, high-density integration, and low loss of integrally formed inductors in fields such as new energy vehicles and 5G communications, Fe-Si-Cr magnetic powder cores have become one of the core magnetic materials for such inductors due to their high saturation magnetic induction intensity, excellent frequency stability, and corrosion resistance. This paper systematically reviews the research progress in the preparation technology of high-performance Fe-Si-Cr magnetic powder cores, focusing on elaborating the core principles, process optimization, and performance regulation mechanisms of powder pretreatment and coating technologies. Meanwhile, it summarizes the regulation rules and core influencing factors of four key properties: effective permeability, magnetic loss, saturation magnetic induction intensity, and DC bias characteristic. Current research has achieved a transformation from single-process optimization to multi-parameter comprehensive regulation, but challenges still remain in accurately controlling the powder microstructure, balancing insulation and magnetic properties, and adapting to extreme working conditions. Finally, this paper analyzes the existing bottlenecks in the preparation technology of Fe-Si-Cr magnetic powder cores and prospects the future development directions such as multi-scale comprehensive regulation, development of new functional materials, and intelligent production, providing a reference for their industrial application in high-frequency and high-power integrally formed inductors. Fe-Si-Cr magnetic powder cores; integrally formed inductors; coating technology; magnetic property regulation; high-frequency and low-loss li wei jian Wu Yunfei Wang Zhanyun Cui Jiewu Wu Yucheng PUBLIC https://creativecommons.org/publicdomain/zero/1.0/ dataset http://www.doi.org/10.3724/jfmd.2604048 Science Data Bank