Suppr超能文献

通过脉冲电沉积实现的纳米结构铁钴磷非晶合金中的巨磁热效应。

Giant magnetocaloric effect in nanostructured Fe-Co-P amorphous alloys enabled through pulse electrodeposition.

作者信息

Cheng Junye, Li Tian, Ullah Sana, Luo Feng, Wang Hao, Yan Ming, Zheng Guangping

机构信息

Guangdong Provincial Key Laboratory of Micro/Nano Optomechatronics Engineering, College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518060 People's Republic of China. Department of Mechanical Engineering, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, People's Republic of China.

出版信息

Nanotechnology. 2020 Sep 18;31(38):385704. doi: 10.1088/1361-6528/ab9971. Epub 2020 Jun 4.

Abstract

In this work, amorphous Fe-Co-P films prepared by electrodeposition are found to exhibit dense microstructures with amorphous grains. Through a pulse electrodeposition synthesis route, complex microstructures containing nano-sized grains are obtained in the amorphous alloy films. The nanostructured Fe-Co-P amorphous alloys show superior soft magnetic and magnetocaloric properties as compared with those of other iron-based soft magnetic amorphous alloys reported to date. The coercive field of samples can be as small as 1.6 Oe at room temperature. The magnetocaloric effect (MCE) of the ternary amorphous alloys has been investigated by evaluating the magnetic entropy changes, |ΔS |, from their temperature-dependent magnetization behaviors. The |ΔS| values are as high as 1.846 J kg K with an applied magnetic field of 10 kOe. With a temperature span of 90 K, the refrigerant capacity of samples can be as high as 118.64 J kg. The nanostructure enabled giant MCE in Fe-Co-P amorphous alloys is discussed.

摘要

在这项工作中,通过电沉积制备的非晶态Fe-Co-P薄膜呈现出具有非晶晶粒的致密微观结构。通过脉冲电沉积合成路线,在非晶合金薄膜中获得了包含纳米尺寸晶粒的复杂微观结构。与迄今为止报道的其他铁基软磁非晶合金相比,纳米结构的Fe-Co-P非晶合金表现出优异的软磁和磁热性能。样品在室温下的矫顽力可低至1.6 Oe。通过从其与温度相关的磁化行为评估磁熵变|ΔS|,研究了三元非晶合金的磁热效应(MCE)。在10 kOe的外加磁场下,|ΔS|值高达1.846 J kg K。在90 K的温度范围内,样品的制冷量可高达118.64 J kg。讨论了纳米结构在Fe-Co-P非晶合金中实现的巨大磁热效应。

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