A unique Fe-based soft magnetic alloy and its magnetic softening mechanism

合金 软化 机制(生物学) 磁性合金 材料科学 磁性形状记忆合金 冶金 凝聚态物理 磁各向异性 磁场 复合材料 物理 磁化 量子力学
作者
Zhongshi Zhang,Zhidong Zhang,Yuanfei Cai,Yan Zhang,Yuna Wu,Haihong Zhu,Yiyu Qian,Yan Zhang,Y.C. Wang,Y.Q. Yan,Xing Tong,Bin Zhang,Cen Yang,Haibo Ke,H. Y. Bai,W.H. Wang
出处
期刊:Journal of Alloys and Compounds [Elsevier BV]
卷期号:1002: 175161-175161 被引量:1
标识
DOI:10.1016/j.jallcom.2024.175161
摘要

Fe-based amorphous alloys with good glass-forming ability (GFA), superior soft magnetic properties, low cost, and a wide heat treatment window have long been pursued in the field of soft magnetic materials due to their importance for mass production and broad applications. In the present study, by strategically adjusting the composition of a low-cost Fe-Si-B-P-Cu-C alloy, we achieved a saturation magnetization (Ms) of approximately 186 emu/g and a coercivity (Hc) of about 6 A/m for the Fe82.5 alloy with a good GFA. Specifically, the limited Cu content and suitable contents of metalloid elements played pivotal roles in enhancing the nuclei barrier and stabilizing the amorphous matrix. This, in turn, facilitated the formation of a finely uniform nanocrystalline structure dispersed within the amorphous matrix, enhancing soft magnetic properties during annealing. Notably, this magnetic softening behavior occurred at a lower heating rate. Structural characterizations revealed that a transient metalloid-rich shell and a stable amorphous matrix contributed to the slow growth of the α-Fe (Si) during prolonged isothermal annealing. This is in contrast to the agglomeration of small nanograins into larger clusters at high heating rates, which enhances the versatility and potential applicability of the alloy. The successful development of this novel nanocrystalline alloy offers promising guidance for addressing the challenges associated with the mass production of soft magnetic materials.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
菠萝水手发布了新的文献求助10
刚刚
1秒前
1秒前
Ycc发布了新的文献求助10
1秒前
zzz发布了新的文献求助10
1秒前
warte发布了新的文献求助10
2秒前
lllll完成签到,获得积分10
3秒前
3秒前
MMM完成签到,获得积分10
4秒前
4秒前
沉眠猫猫虫完成签到 ,获得积分10
4秒前
科研通AI6.2应助hmq采纳,获得10
5秒前
受伤觅风发布了新的文献求助30
5秒前
5秒前
红白刀向前冲完成签到,获得积分20
5秒前
6秒前
Singularity应助zzz采纳,获得10
7秒前
8秒前
李爱国应助wbw采纳,获得10
8秒前
斯文的紫槐完成签到,获得积分10
8秒前
9秒前
善学以致用应助asder采纳,获得10
9秒前
li完成签到,获得积分10
10秒前
wyl完成签到,获得积分10
11秒前
11秒前
11秒前
袁瑞发布了新的文献求助10
11秒前
荇菜完成签到,获得积分10
11秒前
11秒前
liu发布了新的文献求助10
12秒前
ding应助修远采纳,获得10
12秒前
乐乐应助jinyu采纳,获得10
13秒前
Riverchase应助quhayley采纳,获得50
13秒前
英俊的铭应助菜羊羊02采纳,获得10
14秒前
大气天抒发布了新的文献求助80
14秒前
14秒前
蒲公英发布了新的文献求助10
14秒前
黄铁成完成签到,获得积分10
15秒前
受伤觅风完成签到,获得积分10
15秒前
15秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Metallurgy at high pressures and high temperatures 2000
Various Faces of Animal Metaphor in English and Polish 800
The SAGE Dictionary of Qualitative Inquiry 610
Signals, Systems, and Signal Processing 610
An Introduction to Medicinal Chemistry 第六版习题答案 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6342240
求助须知:如何正确求助?哪些是违规求助? 8157470
关于积分的说明 17147947
捐赠科研通 5398496
什么是DOI,文献DOI怎么找? 2859570
邀请新用户注册赠送积分活动 1837554
关于科研通互助平台的介绍 1687402