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Quantifying Mixing using Magnetic Resonance Imaging
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Identification of object composition with magnetic inductive tomography.

R Gartman1, W Chalupczak1

  • 1National Physical Laboratory, Hampton Road, Teddington TW11 0LW, United Kingdom.

The Review of Scientific Instruments
|December 2, 2021
PubMed
Summary

This study introduces a new technique to identify object composition using inductive signals. It analyzes how objects respond to magnetic fields to determine material properties for applications like security screening.

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Area of Science:

  • Physics
  • Materials Science
  • Electrical Engineering

Background:

  • The inductive response of materials to magnetic fields is linked to electrical conductivity and magnetic permeability.
  • Distinguishing between materials with varying electrical and magnetic properties is crucial for material identification.

Purpose of the Study:

  • To develop and validate a novel technique for determining object composition based on its inductive response.
  • To utilize the angular, frequency, and spatial dependence of inductive signals for material characterization.

Main Methods:

  • Measuring the inductive signal's angular, frequency, and spatial dependence.
  • Employing a sensor with anisotropic sensitivity to differentiate eddy current and magnetization responses.
  • Validating the technique using magnetic induction tomography with a radio-frequency atomic magnetometer.

Main Results:

  • The technique successfully discriminates between materials with high electrical conductivity (like copper) and high magnetic permeability (like ferrite).
  • Experimental validation confirmed the method's efficacy in material identification through inductive signal analysis.

Conclusions:

  • The developed inductive sensing technique offers a robust method for non-invasive material composition analysis.
  • This technique has potential applications in advanced security screening devices and material science research.