journal article·2025-01

Microwave absorption properties and multilayer absorber design of La2FexCo14-xB with easy cone anisotropy

Kewei Li, Zhou Liu, Yuankang Wang, Pengyu Zhang, Zhongchong Lin, Shaohua Fan, Tianyu Xin, Honglin Du, Zhaochu Luo, Changsheng Wang, Wenyun Yang, Jinbo Yang

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Abstract

The effective integration of microwave attenuation capability with impedance matching is crucial for designing and optimizing microwave-absorbing materials. In this study, we investigate the microwave absorption properties of La 2Fe xCo 14-xB with easy cone anisotropy. By adjusting the filling rate of La 2Fe 4Co 10B, we have successfully enhanced the microwave attenuation capability of the composite and optimized its impedance matching. At a filling rate of 25 vol%, La 2Fe 4Co 10B exhibits an effective absorption bandwidth (EAB) of up to 7.5 GHz at a thickness of 1.5 mm, superior to most single-layer absorbing materials. Furthermore, we introduce a novel concentration-dependent layered structure comprising La 2Fe 4Co 10B/paraffin composites at designated filling rates of 10 vol%, 25 vol%, and 40 vol%, respectively. This 3-layer absorber exhibits outstanding microwave absorption performance. With a total thickness of 2.9 mm, the 3-layer absorber achieves a strong absorption peak of −55.1 dB at 11.0 GHz, while also possessing an EAB of 9.8 GHz. Based on Maxwell`s equations, which encompass normalized input impedance and loss analysis, it is demonstrated how the 3-layer structure efficiently utilizes the dielectric and magnetic loss properties of La 2Fe 4Co 10B to achieve robust absorption across an ultra-wide frequency band. This study not only offers a fresh perspective on the microwave attenuation capabilities of materials but also introduces novel strategies for the design of advanced materials aimed at high-performance microwave absorption.
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Research context

OpenAlex topics: Electromagnetic wave absorption materials · Magnetic Properties of Alloys · MXene and MAX Phase Materials

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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