Nondestructive Inspection (NDI) of Reduced Strength Bonds

Abstract

The goal of this project was to develop a nondestructive inspection technique capable of detecting weak adhesive bonds. The approach was to fabricate contaminated surface-induced weak bond specimens which were then used to evaluate candidate techniques and to further optimize the selected most promising technique. The results indicate the ultrasonic resonance technique showed some success in detecting weak bonds as determined through destructive test correlations conducted using the representative weak bond specimens. The technique was 97 percent effective in detecting known weak bonds but was subject to false reject error ranging between 14 and 31 percent depending upon the evaluation criteria employed. Difficulties were encountered with the destructive test correlations due to the wide variation of results experienced with the flatwise tension tests that were conducted. The ultrasonic resonance technique and a recently emerged ultrasonic feature analysis/adaptive learning technique looked promising but will require further evaluation involving test specimens with large weak bond areas representing several weak bond mechanisms in addition to contaminated interfaces. Nondestructive inspection, Weak adhesive bonds, Ultrasonic Resonance technique, Ultrasonic feature analysis.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1994
Accession Number
ADA278745

Entities

People

  • Richard Chance

Organizations

  • Grumman

Tags

Communities of Interest

  • Advanced Electronics
  • Air Platforms
  • Energy and Power Technologies
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Acoustic Propagation
  • Advanced Materials
  • Aircraft Industry
  • Boundaries
  • Composite Materials
  • Control Panels
  • Destructive Tests
  • Fabrication
  • Frequency
  • Graphitic Materials
  • Inspection
  • Materials
  • Materials Processing
  • Piezoelectric Crystals
  • Sound Waves
  • Tensile Strength
  • Test And Evaluation

Readers

  • Medical Imaging.
  • Regression Analysis.
  • Surface Coatings Technology.