Exploratory Development of adhesive Bond Flaw Detection.

Abstract

This project sought to establish the feasibility of automatic detection and classification of bond line defects in multiple-layer adhesively bonded structures. Bond strength was not the issue in this work; rather, the detection and classification of a bond line flaw per layer into one of three classes- unbond, void, porosity-independent of part geometry was the main objective. Each part was scanned from one flat surface using a 0.5-inch transducer in the pulse-echo mode. A decision was rendered automatically regarding the existence and classification of defects in each layer for each pulse-echo return in an overall scan pattern. Results show that flaws in multiple-layer structures can be found with accuracies of 91% as to defect versus non-defect discrimination, and 92% as to the correct type of defect. In this work, a false-alarm rate of 19% (non-defects called defects) and a false dismissal rate of 2% (defects called non-defects) was obtained. It is believed that the false alarm rate could be greatly reduced by use of militple-point(contextual) information from contiguous scans. It has been shown that it is feasible and practical to use ultrasound to detect and classify defects and flaws in mulitple-layer adhesively bonded structures, regardless of the layers in which they Lie. The method is, by design, insensitive to moderate variations in transducer orientation and to construction geometry. The accuracies on a blind evaluation test compare very well with the data used to train the ALN classifier system.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1978
Accession Number
ADA072724

Entities

People

  • Anthony N. Mucciardi
  • George A. Alers
  • James M. Fitzgerald
  • Murray H. Loew
  • Richard E. Elsley

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Acoustics
  • Acquisition
  • Air Force
  • Computer Vision
  • Computers
  • Data Acquisition
  • Databases
  • Feature Extraction
  • Frequency Domain
  • Materials
  • Measurement
  • Power Spectra
  • Recording Systems
  • Signal Processing
  • Test And Evaluation
  • Ultrasounds
  • Waveforms

Readers

  • Computer Vision.
  • Sensor Fusion and Tracking Systems.
  • Structural Health Monitoring of Composite Structures.