Probability of Detection in SQUID Nondestructive Evaluation

Abstract

Superconducting Quantum Interference Device (SQUID) magnetometers are being used as tools for Nondestructive Evaluation (NDE) to detect and characterize defects in aging aircraft. To evaluate SQUID NDE reliability. a Probability of Detection (POD) analysis has been done. A Boundary Element Method (BEM) measurement model using a Green's function developed specifically for crack problems has been constructed for use in the POD analysis. The model simulates the 2-D images of the magnetic field obtained by scanning a SQUID magnetometer over a plate containing a crack and carrying an injected DC current. POD curves were generated through Monte Carlo simulation using distributions derived from sensitivity analyses and experimental noise measurements. For the conditions simulated, crack lengths of 1.4 mm (DC measurement) and 0.0134 mm (AC measurement) could be found with 90% probability of detection and 95% confidence. These small crack lengths suggest that additional experimental noise factors will have be incorporated into the POD analysis before realistic SQUID NDE capability can be accurately quantified.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Apr 21, 1998
Accession Number
ADA342741

Entities

People

  • Anthony P. Ewing
  • John P. Wikswo, Jr.

Organizations

  • Vanderbilt University

Tags

Communities of Interest

  • Advanced Electronics
  • Air Platforms
  • Sensors

DTIC Thesaurus Topics

  • Boundary Element Methods
  • Detection
  • Detectors
  • Electromagnetic Fields
  • Fabrication
  • Geometry
  • Gradiometers
  • Magnetic Fields
  • Magnetometers
  • Measurement
  • Measuring Instruments
  • Mechanical Engineering
  • Mechanics
  • Monte Carlo Method
  • Three Dimensional
  • Two Dimensional
  • Warning Systems

Fields of Study

  • Physics

Readers

  • Computational Modeling and Simulation
  • Structural Health Monitoring of Composite Structures.
  • Superconducting Magnet Technology

Technology Areas

  • Quantum Computing