Suppr超能文献

拓展源自二元氢氧化物的钴镍双金属合金的有效微波吸收带宽。

Extending effective microwave absorbing bandwidth of CoNi bimetallic alloy derived from binary hydroxides.

作者信息

Gu Weihua, Chen Jiabin, Zhao Yue, Wang Gehuan, Wang Fan, Zhang Tengze, Zhang Baoshan

机构信息

School of Electronic Science and Engineering, Nanjing University, Nanjing, 210093, People's Republic of China.

College of Material Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, People's Republic of China.

出版信息

Sci Rep. 2020 Sep 29;10(1):16044. doi: 10.1038/s41598-020-73161-6.

Abstract

Effectively broadening microwave absorbing frequency of pure magnetic substances remains a huge challenge. Herein, micro-perspective structures can be controlled through a calcination route. Satisfactorily, the composites prepared at the calcination temperature of 900 °C exhibit excellent microwave attenuation performance with a broad working frequency and appropriate paraffin filling ratio. Remarkably, the composites can reach an extremely high reflection loss (RL) value of - 49.79 dB, and the extended effective working frequency range (RL < - 10 dB) of 6.84 GHz can also be obtained. Superb magnetic loss, admirable dielectric loss, sufficient dipole polarization, as well as superior impedance matching should be band together for obtaining ideal microwave absorbers. The CoNi hydroxides derived bimatallic alloy composites were fabricated via a cost-effective and facile synthesis process, and this work aroused inspirations of designing high-performance microwave absorbers for mataining the sustainable development.

摘要

有效拓宽纯磁性物质的微波吸收频率仍然是一个巨大的挑战。在此,微观结构可通过煅烧途径进行控制。令人满意的是,在900℃煅烧温度下制备的复合材料表现出优异的微波衰减性能,具有较宽的工作频率和合适的石蜡填充率。值得注意的是,该复合材料可达到-49.79 dB的极高反射损耗(RL)值,还可获得6.84 GHz的扩展有效工作频率范围(RL<-10 dB)。为了获得理想的微波吸收剂,应将优异的磁损耗、良好的介电损耗、充分的偶极极化以及优异的阻抗匹配结合在一起。通过一种经济高效且简便的合成工艺制备了氢氧化钴镍衍生的双金属合金复合材料,这项工作为设计高性能微波吸收剂以实现可持续发展带来了启发。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cefa/7524764/2cf80f1ddbb4/41598_2020_73161_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验