4.4 Article

Magnetic stray field mapping of stainless steel sheets using spin Hall magnetoresistance sensor

Journal

AIP ADVANCES
Volume 11, Issue 12, Pages -

Publisher

AIP Publishing
DOI: 10.1063/5.0072095

Keywords

-

Funding

  1. Singapore Ministry of Education under its AcRF Tier 2 Grant [MOE2017-T2-2-011]
  2. Industrial Post-graduate Programme (IPP) from the Singapore Economic Development Board (EDB)

Ask authors/readers for more resources

A high-sensitivity, low-noise, zero-offset, and negligible hysteresis spin Hall magnetoresistance (SMR) sensor has been developed recently for mapping the self-magnetic leakage field (SMLF) of stainless steel sheets. This system is effective in pre-screening steel sheets to prevent defect formation at early stages.
Recently, we have developed a spin Hall magnetoresistance (SMR) sensor featuring high-sensitivity, low-noise, zero-offset, and negligible hysteresis. Here, we demonstrate that the SMR sensor can be used to map the self-magnetic leakage field (SMLF) of stainless steel sheets. The SMLF serves as an effective knob for probing magnetism in steel sheets induced by either stress or composition inhomogeneity, which, in turn, affects its mechanical properties and corrosion resistance. However, the SMLF is typically quite weak, and thus the high-sensitivity and low-noise SMR sensor is uniquely suited for this application. The self-magnetic flux leakage mapping experiments have been conducted on SUS304 steel sheets with emphasis on the lift-off effect. Both analytical model and finite element modeling have been used to account for the experimental results. Although the SMLF mapping alone is unable to pinpoint the root cause of magnetism, i.e., whether it is due to stress or composition inhomogeneity, it does provide an efficient way for pre-screening of steel sheets to prevent defect formation at early stages. (c) 2021 Author(s).

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.4
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available