{"title":"Suppression method of magnetic noise and loss characteristics in nanocrystalline magnetic shielding devices","authors":"Wei Liu , Xueping Xu","doi":"10.1016/j.measurement.2025.117991","DOIUrl":null,"url":null,"abstract":"<div><div>Magnetic shielding devices (MSDs) provide a low-noise, near-zero magnetic environment for biomagnetic measurements. Existing modeling methods for magnetic noise (MN) in MSDs primarily consider the influence of nanocrystalline thickness and measurement distance on MN while neglecting the effects of lamination factor, lamination thickness, and directional anisotropy. This study proposes a novel MN computation model that comprehensively integrates lamination parameters and residual environmental interference for enhanced prediction accuracy. Additionally, the influence of nanocrystalline lamination process on core loss is thoroughly investigated, and a Bertotti loss separation model that takes into account the lamination factor and lamination thickness is established. Based on a new loss correction method, solving the imaginary part permeability related to hysteresis loss can provide support for accurate calculation of MN. Experimental validation confirms the accuracy of the proposed model, with relative errors between simulated and measured MN values being 5.02 %, 7.75 %, and 2.24 % along the X, Y, and Z axes, respectively. Optimized 30-layer lamination reduces total loss by 27 %, balancing eddy current and interfacial losses. This study contributes to the optimization of MN suppression in MSDs for ultra-sensitive sensor applications, thereby enhancing their sensitivity and accuracy.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"254 ","pages":"Article 117991"},"PeriodicalIF":5.2000,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Measurement","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0263224125013508","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Magnetic shielding devices (MSDs) provide a low-noise, near-zero magnetic environment for biomagnetic measurements. Existing modeling methods for magnetic noise (MN) in MSDs primarily consider the influence of nanocrystalline thickness and measurement distance on MN while neglecting the effects of lamination factor, lamination thickness, and directional anisotropy. This study proposes a novel MN computation model that comprehensively integrates lamination parameters and residual environmental interference for enhanced prediction accuracy. Additionally, the influence of nanocrystalline lamination process on core loss is thoroughly investigated, and a Bertotti loss separation model that takes into account the lamination factor and lamination thickness is established. Based on a new loss correction method, solving the imaginary part permeability related to hysteresis loss can provide support for accurate calculation of MN. Experimental validation confirms the accuracy of the proposed model, with relative errors between simulated and measured MN values being 5.02 %, 7.75 %, and 2.24 % along the X, Y, and Z axes, respectively. Optimized 30-layer lamination reduces total loss by 27 %, balancing eddy current and interfacial losses. This study contributes to the optimization of MN suppression in MSDs for ultra-sensitive sensor applications, thereby enhancing their sensitivity and accuracy.
期刊介绍:
Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.