Iron loss models: A review of simplified models of magnetization losses in electrical machines

磁化 材料科学 凝聚态物理 工程物理 物理 磁场 量子力学
作者
Gustav Mörée,Mats Leijon
出处
期刊:Journal of Magnetism and Magnetic Materials [Elsevier BV]
卷期号:609: 172163-172163 被引量:2
标识
DOI:10.1016/j.jmmm.2024.172163
摘要

This paper gives a broad overview of methods to model core losses from the magnetization of soft magnetic iron cores in electrical machines. The review study starts with some commonly used models of loss separation for hysteresis losses and eddy current losses. The study links the models to physical models of magnetization, considering domain behaviour such as nucleation, formation and rotation, and also pinning and damping of domain wall motions. Both the non-linear behaviour of hysteresis and excess eddy currents is better understood by these underlying physical domain mechanisms. Classical eddy currents usually only consider the resistivity and the thickness of the lamination steel plates, but core losses are also related to several material properties, such as crystal grain size, type of alloy, texture and alignment of the crystal anisotropy. These dependencies could be considered by some adoptions of the loss models. The common approaches to core loss modelling neglects non-sinusoidal fields and three-dimensional fields and assumes a sine wave which only is directed along one direction. This paper also discusses non-sinusoidal losses, both for hysteresis and eddy current losses. It also covers three dimensional rotational losses, and how they could be handled by simplified models based on ellipse trajectories. The relation between iron losses and external physical factors is presented, such as dependence on the direction of an applied field, dependence on the temperature, dependence on cutting degradation and dependence on an applied stress.
最长约 10秒,即可获得该文献文件

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
1秒前
2秒前
深情安青应助不想做实验采纳,获得10
3秒前
SYLH应助zz采纳,获得10
3秒前
实验好难应助guoguoguo采纳,获得10
5秒前
huangbing123发布了新的文献求助10
6秒前
6秒前
6秒前
壮观小笼包关注了科研通微信公众号
6秒前
7秒前
7秒前
8秒前
薛华倩发布了新的文献求助10
8秒前
10秒前
方方发布了新的文献求助10
10秒前
11秒前
xiao发布了新的文献求助10
11秒前
12秒前
徐老师完成签到,获得积分10
12秒前
852应助无聊的凡阳采纳,获得10
12秒前
学术蝗虫完成签到,获得积分10
12秒前
lxr完成签到,获得积分10
14秒前
Owen应助大狒狒采纳,获得10
14秒前
甜美慕梅完成签到,获得积分10
14秒前
小曦发布了新的文献求助10
14秒前
雨林霖完成签到,获得积分10
15秒前
瘦瘦的烤鸡完成签到,获得积分10
15秒前
16秒前
yy发布了新的文献求助10
17秒前
xia夏发布了新的文献求助10
17秒前
求知若渴的小王完成签到,获得积分10
18秒前
18秒前
夏目完成签到,获得积分10
18秒前
酷波er应助lxr采纳,获得10
18秒前
20秒前
21秒前
xmy完成签到,获得积分10
21秒前
orixero应助雨林霖采纳,获得10
21秒前
cc发布了新的文献求助10
22秒前
顾矜应助光亮的寄凡采纳,获得10
22秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Am Rande der Geschichte : mein Leben in China / Ruth Weiss 1500
CENTRAL BOOKS: A BRIEF HISTORY 1939 TO 1999 by Dave Cope 1000
Machine Learning Methods in Geoscience 1000
Resilience of a Nation: A History of the Military in Rwanda 888
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3736207
求助须知:如何正确求助?哪些是违规求助? 3279988
关于积分的说明 10017941
捐赠科研通 2996592
什么是DOI,文献DOI怎么找? 1644198
邀请新用户注册赠送积分活动 781831
科研通“疑难数据库(出版商)”最低求助积分说明 749491