Automated detection of CFRP defects by infrared thermography and image analysis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Carbon fiber reinforced polymers (CFRP) have experienced widespread use in the aerospace industry. However, the very different internal structure and properties of woven composites presents a challenge to defect detection in such structures. An automated scheme for determination of the location and size of defects using image processing techniques is reported. The scheme includes local thresholding to binarize the image and reduce non-uniform thermal energy effect, morphology procedures to reduce larger noises and separate the defect from the specimen. Test of the scheme on various specimens having artificial defects embedded in different depth is shown. The contrast is lower as the defect is embedded deeper. Nevertheless, the defects can be detected accurately from the IRT images while comparing to the observed ones.

Original languageEnglish
Title of host publicationResidual Stress, Thermomechanics and Infrared Imaging, Hybrid Techniques and Inverse Problems - Proceedings of the 2015 Annual Conference on Experimental and Applied Mechanics
EditorsGary Schajer, Sven Bossuyt, Alberto Carpinteri
PublisherSpringer New York LLC
Pages243-248
Number of pages6
ISBN (Print)9783319217642
DOIs
Publication statusPublished - 2016
EventSEM Annual Conference and Exposition on Experimental and Applied Mechanics, 2015 - Costa Mesa, United States
Duration: 2015 Jun 82015 Jun 11

Publication series

NameConference Proceedings of the Society for Experimental Mechanics Series
Volume9
ISSN (Print)2191-5644
ISSN (Electronic)2191-5652

Conference

ConferenceSEM Annual Conference and Exposition on Experimental and Applied Mechanics, 2015
CountryUnited States
CityCosta Mesa
Period15-06-0815-06-11

All Science Journal Classification (ASJC) codes

  • Engineering(all)
  • Computational Mechanics
  • Mechanical Engineering

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