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      Numerical analysis for remote identification of materials with magnetic characteristics

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      Author
      Ege, Y.
      Şensoy, M.G.
      Kalender O.
      Nazlibilek, S.
      Date
      2011
      Source Title
      IEEE Transactions on Instrumentation and Measurement
      Print ISSN
      189456
      Volume
      60
      Issue
      9
      Pages
      3140 - 3152
      Language
      English
      Type
      Article
      Item Usage Stats
      127
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      115
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      Abstract
      There is a variety of methods used for remote sensing of objects such as acoustic, ground penetration radar detection, electromagnetic induction spectroscopy, infrared imaging, thermal neutron activation, core four-pole resonance, neutron backscattering, X-ray backscattering, and magnetic anomaly. The method that has to be used can be determined by the type of material, geographical location (underground or water), etc. Recent studies have been concentrated on the improvement of the criteria such as sensing distances, accuracy, and power consumption. In this paper, anomalies created by materials with magnetic characteristics at the perpendicular component of the Earth magnetic field have been detected by using a KMZ51 anisotropic magnetoresistive sensor with high sensitivity and low power consumption, and also, the effects of physical properties of materials on magnetic anomaly have been investigated. By analyzing the graphics obtained by 2-D motion of the sensor over the material, the most appropriate mathematical curves and formulas have been determined. Based on the physical properties of the magnetic material, the variations of the variables constituting the formulas of the curves have been analyzed. The contribution of this paper is the use of the results of these analyses for the purpose of identification of an unknown magnetic material. This is a new approach for the detection and determination of materials with magnetic characteristics by sensing the variation at the perpendicular component of the Earth magnetic field. The identification process has been explained in detail in this paper. © 2011 IEEE.
      Keywords
      Anisotropic magnetoresistive sensor (AMR)
      magnetic anomaly
      magnetic materials
      power consumption
      remote sensing
      Anisotropic magnetoresistive sensors
      Earth magnetic fields
      Electromagnetic induction spectroscopy
      Geographical locations
      Ground Penetration Radar
      High sensitivity
      Identification process
      Low-power consumption
      Magnetic anomalies
      Magnetic characteristic
      Mathematical curves
      Neutron backscattering
      Physical properties of materials
      Remote identification
      Thermal neutron activations
      X-ray backscattering
      Acoustic spectroscopy
      Anisotropy
      Backscattering
      Electromagnetic induction
      Geomagnetism
      Magnetic materials
      Magnetic sensors
      Materials properties
      Neutron activation analysis
      Numerical analysis
      Numerical methods
      Radar imaging
      Remote sensing
      Thermography (imaging)
      Tracking radar
      Magnetic field effects
      Permalink
      http://hdl.handle.net/11693/21799
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/TIM.2011.2124651
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      • Nanotechnology Research Center (NANOTAM) 1006
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