Bibliographic Details
| Title: |
Enhancing linearity of open-loop parallel fluxgate sensors via induced anisotropy in amorphous wires. |
| Authors: |
Mu, Chunyang1 (AUTHOR), Pan, Lining1 (AUTHOR), Ma, Haoran1 (AUTHOR), Su, Mengran1 (AUTHOR), He, Aina1 (AUTHOR), Dong, Yaqiang1 (AUTHOR), Man, Qikui1 (AUTHOR), Li, Deren1,2 (AUTHOR) derenli@bjtu.edu.cn, Li, Jiawei1 (AUTHOR) lijw@nimte.ac.cn |
| Source: |
Journal of Alloys & Compounds. May2025, Vol. 1027, pN.PAG-N.PAG. 1p. |
| Subjects: |
Magnetic noise, Magnetic fields, Magnetic properties, Magnetic sensors, Permeability |
| Abstract: |
Fluxgate sensors with amorphous wires can meet stringent volume constraints in an open-loop configuration. However, achieving consistent linearity over a broad range remains a significant challenge. In this study, we demonstrate that the transverse anisotropy resulting from tensile stress annealing (TSA) helps reduce the second harmonic component in the induced signal and improves the magnetization stability of the amorphous wires under varying external magnetic fields. This enhancement is beneficial for improving the linearity of the open-loop parallel fluxgate sensor. Additionally, this study provides clarity on how TSA contributes to improved sensor linearity, by examining the relationships among TSA, permeability, AC/DC hysteresis profiles, and the dynamics of domain structures. Notably, the optimization of linearity through TSA is accompanied by a corresponding increase in sensor noise levels. • TSA significantly enhances the linearity of fluxgate sensors with amorphous wires in an open-loop configuration. • TSA induces significant transverse anisotropy, suppressing second-order harmonics and enhancing magnetization stability. • Consistent magnetization state across varying external magnetic fields enhances fluxgate sensor linearity. • TSA enhances fluxgate sensors linearity with a corresponding increase in sensor noise levels. [ABSTRACT FROM AUTHOR] |
|
Copyright of Journal of Alloys & Compounds is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Engineering Source |