电磁屏蔽
坡莫合金
磁强计
材料科学
磁化
磁场
残余物
温度测量
凝聚态物理
核磁共振
计算机科学
物理
复合材料
热力学
算法
量子力学
作者
Jinji Sun,Jianyi Ren,Weiyong Zhou
标识
DOI:10.1088/1361-6463/acd9d7
摘要
Abstract Magnetic shielding devices work at different temperatures due to the influence of gas chamber and environmental temperature in the application of ultra-highly sensitive spin exchange relaxation free (SERF) magnetometers. To accurately evaluate the residual magnetic field (MF) of a magnetic shielding device at different temperatures, it is necessary to build a magnetization model considering temperature. However, the modeling of permalloy’s magnetization properties and the measurement of residual MF in magnetic shielding devices at different temperatures have not been considered. In this paper, an optimized Jiles–Atherton (JA) model of permalloy considering temperature is constructed, in which parameters are extracted using a particle swarm optimization algorithm. To further verify the effectiveness of the model in the magnetic shielding device, it is applied to the residual MF simulation of magnetic shielding devices and verified by measurement. The optimized JA model considering temperature improves the calculation accuracy of magnetic shielding devices, which is of great significance for the application of ultra-highly sensitive SERF magnetometers.
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