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Related Concept Videos

Ferromagnetism01:31

Ferromagnetism

2.4K
Materials like iron, nickel, and cobalt consist of magnetic domains, within which the magnetic dipoles are arranged parallel to each other. The magnetic dipoles are rigidly aligned in the same direction within a domain by quantum mechanical coupling among the atoms. This coupling is so strong that even thermal agitation at room temperature cannot break it. The result is that each domain has a net dipole moment. However, some materials have weaker coupling, and are ferromagnetic at lower...
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Magnetic Susceptibility and Permeability01:31

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In linear magnetic materials, like paramagnets and diamagnets, magnetization is proportional to the magnetic field intensity. The constant of proportionality, a dimensionless number, is called magnetic susceptibility. The value of the susceptibility depends on the type of material.
When diamagnetic materials are placed under an external magnetic field, the moments opposite to the field are induced. Hence, the susceptibility for diamagnets has a minimal negative value of 10-5–10-6. Since...
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Near-Infrared Temperature Measurement Technique for Water Surrounding an Induction-heated Small Magnetic Sphere
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Temperature Compensation Method for Tunnel Magnetoresistance Micro-Magnetic Sensors Through Reference Magnetic Field.

Tao Kuai1,2, Qingfa Du1, Jiafei Hu1

  • 1College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China.

Micromachines
|October 26, 2024
PubMed
Summary

This study presents a new method to reduce temperature drift in Tunnel Magnetoresistance (TMR) sensors. The technique improves measurement accuracy and sensor repeatability without needing a temperature sensor.

Keywords:
TMR micro-magnetic sensorreference magnetic sourcesensitivity calibrationtemperature compensation

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Area of Science:

  • Sensor Technology
  • Materials Science
  • Physics

Background:

  • Tunnel Magnetoresistance (TMR) sensors suffer from significant temperature drift and poor repeatability, limiting measurement accuracy.
  • Existing temperature compensation methods lack precision, real-time capability, and cannot address repeatability issues effectively.

Purpose of the Study:

  • To introduce a novel method for suppressing temperature drift in TMR sensors.
  • To enhance the real-time performance and repeatability of TMR sensor temperature compensation.

Main Methods:

  • An alternating reference magnetic field is applied to TMR sensors.
  • Output amplitude at the reference magnetic field frequency is calculated for real-time sensitivity drift compensation.
  • Temperature characteristic tests were performed in a controlled non-magnetic temperature test chamber.

Main Results:

  • TMR sensitivity drift coefficient reduced from 985.39 ppm/°C to 59.08 ppm/°C.
  • Repeatability of sensitivity temperature characteristic curves improved, with root mean square error decreasing from 0.84 to 0.21.
  • Effective temperature drift mitigation achieved without a temperature sensor.

Conclusions:

  • The proposed method offers a novel approach for high-precision temperature drift suppression in TMR sensors.
  • The technique provides real-time performance and enhanced repeatability, overcoming limitations of conventional methods.
  • This advancement enables more accurate measurements from TMR sensors across varying temperatures.