Method of Moments Based Modelling of Race-Track Fluxgate Sensitivity Dependence on Track and Core Width

Anna Ostaszewska-Liżewska , Roman Szewczyk

Abstract

Intensive development of thin-layer based fluxgate sensors produced as printed circuit boards demand proper tools for modelling their functional characteristics. This paper presents the application of the method of moments utilizing uniform square meshes to avoid problems with thin layer modelling utilizing finite elements method. Exemplary results of modelling indicate that the sensitivity of race-track shaped fluxgate sensor strongly depends on the width of the track, whereas the influence of the width of the core on the fluxgate sensitivity is about 3%. This information is important for development of printed circuit boards based fluxgate sensors with racetrack-shapedcores, as it can lead to significant reduction of the sensor’s perpendicular dimension.
Author Anna Ostaszewska-Liżewska (FM / IMBE)
Anna Ostaszewska-Liżewska,,
- The Institute of Metrology and Biomedical Engineering
, Roman Szewczyk (FM / IMBE)
Roman Szewczyk,,
- The Institute of Metrology and Biomedical Engineering
Journal seriesActa Physica Polonica A, ISSN 0587-4246, e-ISSN 1898-794X
Issue year2020
Vol137
No5
Pages697-699
Publication size in sheets0.3
Conference17th Czech and Slovak Conference on Magnetism (CSMAG‘19), 03-06-2019 - 07-06-2019, Košice, Słowacja
Keywords in Englishmethod of moments, magnetic modelling, fluxgate sensor
ASJC Classification3100 General Physics and Astronomy
DOIDOI:10.12693/APhysPolA.137.697
URL http://przyrbwn.icm.edu.pl/APP/PDF/137/app137z5p035.pdf
Languageen angielski
LicenseJournal (articles only); published final; Other open licence; after publication
File
WUT4c5e50ce9a244e83a70231b520ebc761.pdf 620.99 KB
Score (nominal)40
Score sourcejournalList
ScoreMinisterial score = 40.0, 12-09-2020, ArticleFromConference
Publication indicators WoS Citations = 0; Scopus SNIP (Source Normalised Impact per Paper): 2018 = 0.453; WoS Impact Factor: 2018 = 0.545 (2) - 2018=0.532 (5)
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