Literature DB >> 33477948

Serial MTJ-Based TMR Sensors in Bridge Configuration for Detection of Fractured Steel Bar in Magnetic Flux Leakage Testing.

Zhenhu Jin1, Muhamad Arif Ihsan Mohd Noor Sam1,2, Mikihiko Oogane1,3,4, Yasuo Ando1,3,4.   

Abstract

Thanks to high sensitivity, excellent scalability, and low power consumption, magnetic tunnel junction (MTJ)-based tunnel magnetoresistance (TMR) sensors have been widely implemented in various industrial fields. In nondestructive magnetic flux leakage testing, the magnetic sensor plays a significant role in the detection results. As highly sensitive sensors, integrated MTJs can suppress frequency-dependent noise and thereby decrease detectivity; therefore, serial MTJ-based sensors allow for the design of high-performance sensors to measure variations in magnetic fields. In the present work, we fabricated serial MTJ-based TMR sensors and connected them to a full Wheatstone bridge circuit. Because noise power can be suppressed by using bridge configuration, the TMR sensor with Wheatstone bridge configuration showed low noise spectral density (0.19 μV/Hz0.5) and excellent detectivity (5.29 × 10-8 Oe/Hz0.5) at a frequency of 1 Hz. Furthermore, in magnetic flux leakage testing, compared with one TMR sensor, the Wheatstone bridge TMR sensors provided a higher signal-to-noise ratio for inspection of a steel bar. The one TMR sensor system could provide a high defect signal due to its high sensitivity at low lift-off (4 cm). However, as a result of its excellent detectivity, the full Wheatstone bridge-based TMR sensor detected the defect even at high lift-off (20 cm). This suggests that the developed TMR sensor provides excellent detectivity, detecting weak field changes in magnetic flux leakage testing.

Entities:  

Keywords:  magnetic flux leakage testing; magnetic tunnel junctions; magnetoresistive sensor; nondestructive testing; tunnel magnetoresistance sensor

Year:  2021        PMID: 33477948      PMCID: PMC7833407          DOI: 10.3390/s21020668

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  8 in total

1.  Giant magnetoresistance of (001)Fe/(001)Cr magnetic superlattices.

Authors: 
Journal:  Phys Rev Lett       Date:  1988-11-21       Impact factor: 9.161

2.  Giant room-temperature magnetoresistance in single-crystal Fe/MgO/Fe magnetic tunnel junctions.

Authors:  Shinji Yuasa; Taro Nagahama; Akio Fukushima; Yoshishige Suzuki; Koji Ando
Journal:  Nat Mater       Date:  2004-10-31       Impact factor: 43.841

3.  Giant tunnelling magnetoresistance at room temperature with MgO (100) tunnel barriers.

Authors:  Stuart S P Parkin; Christian Kaiser; Alex Panchula; Philip M Rice; Brian Hughes; Mahesh Samant; See-Hun Yang
Journal:  Nat Mater       Date:  2004-10-31       Impact factor: 43.841

4.  A magnetic flux leakage and magnetostrictive guided wave hybrid transducer for detecting bridge cables.

Authors:  Jiang Xu; Xinjun Wu; Cheng Cheng; Anran Ben
Journal:  Sensors (Basel)       Date:  2012-01-05       Impact factor: 3.576

Review 5.  Theory and Application of Magnetic Flux Leakage Pipeline Detection.

Authors:  Yan Shi; Chao Zhang; Rui Li; Maolin Cai; Guanwei Jia
Journal:  Sensors (Basel)       Date:  2015-12-10       Impact factor: 3.576

6.  Investigation of a Magnetic Tunnel Junction Based Sensor for the Detection of Defects in Reinforced Concrete at High Lift-Off.

Authors:  Muhamad Arif Ihsan Mohd Noor Sam; Zhenhu Jin; Mikihiko Oogane; Yasuo Ando
Journal:  Sensors (Basel)       Date:  2019-10-30       Impact factor: 3.576

Review 7.  Advances in Magnetoresistive Biosensors.

Authors:  Diqing Su; Kai Wu; Renata Saha; Chaoyi Peng; Jian-Ping Wang
Journal:  Micromachines (Basel)       Date:  2019-12-26       Impact factor: 2.891

8.  Non-Destructive Testing of Steel Corrosion Fluctuation Parameters Based on Spontaneous Magnetic Flux Leakage and Its Relationship with Steel Bar Diameter.

Authors:  Qingyuan Zhao; Jianting Zhou; Qianwen Xia; Senhua Zhang; Hong Zhang
Journal:  Materials (Basel)       Date:  2019-12-09       Impact factor: 3.623

  8 in total
  1 in total

1.  Power Batteries Health Monitoring: A Magnetic Imaging Method Based on Magnetoelectric Sensors.

Authors:  Rui Chen; Jie Jiao; Ziyun Chen; Yuhang Wang; Tingyu Deng; Wenning Di; Shunliang Zhu; Mingguang Gong; Li Lu; Xianyu Xie; Haosu Luo
Journal:  Materials (Basel)       Date:  2022-03-07       Impact factor: 3.623

  1 in total

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