Computational Modeling for Magnetic-Sensor-Based Three-Dimensional Visualization of Microcracks

Abstract

The presence of cracks, phase segregation, or even submicron-sized grain boundaries creates a disruption of the magnetic field response to an externally applied electrical current running through the material. These effects can be detected through the magnetic field leakage in the external near-surface region. Using a computer model of an array of magnetic tunnel junction detectors, magnetic signatures' of various faults and/or material borders and domains have been calculated using finite element analysis and portrayed by icons. We have considered a number of typical cracks and flaws, of different dimensions and orientations, within the bulk of the component. The database of signatures' thus generated allows fast recognition of faults and generation of their images in real time. Significant efforts have been made to provide an adequate three-dimensional visualization of the shape and distribution of microcracks, the magnetic field lines, and delineation of the position of the faults in relation to the surface.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2001
Accession Number
ADP012268

Entities

People

  • Bernard R. Cooper
  • David Lederman
  • Leonid Muratov

Organizations

  • West Virginia University

Tags

Communities of Interest

  • Advanced Electronics
  • Sensors

DTIC Thesaurus Topics

  • Aircraft Equipment
  • Computational Modeling
  • Data Visualization
  • Detection
  • Detectors
  • Differential Equations
  • Electrical Properties
  • Magnetic Detectors
  • Magnetic Fields
  • Materials
  • Observation Aircraft
  • Partial Differential Equations
  • Shape
  • Three Dimensional
  • Two Dimensional
  • Visualizations
  • West Virginia

Fields of Study

  • Physics

Readers

  • Computer Vision.
  • Materials Science (Mechanical Engineering).
  • Plasma Physics / Magnetohydrodynamics