LIBS chemical image analysis for fatigue estimation in industrial materials

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Abstract

The extreme conditions industrial materials are usually exposed induce metallurgical modifications which can lead to a premature fatigue causing cracks. In this paper, we present a set of methodologies for the automation of an in-situ fatigue estimation system. The modifications considered are detectable at the material's surface through a spatial chemical analysis process that in this system is performed by laser spectroscopy (LIBS). For the chemical analysis automation a set of signal processing techniques for the LIBS spectrum analysis is presented. The result of the chemical analysis in different points is displayed on a set of images. The estimation process is based on the application of digital image processing techniques and artificial intelligence techniques on the obtained image. This system was developed in the framework of the EC project - LIBSGrain which designed, built and tested the equipment on a chemical plant. The results obtained with the system are also presented in this paper.

Original languageEnglish
Title of host publicationISPA 2003
Subtitle of host publicationProceedings of the 3rd International Symposium on Image and Signal Processing and Analysis
EditorsA. Neri, H. Babic, S. Loncaric
Place of PublicationZagreb
PublisherUniversity of Zagreb
Pages341-346
Number of pages6
VolumePart 2
ISBN (Electronic)953184061X
ISBN (Print)953-184-062-8
DOIs
Publication statusPublished - 2003
Event3rd International Symposium on Image and Signal Processing and Analysis, ISPA 2003 - Rome, Italy
Duration: 18 Sep 200320 Sep 2003

Publication series

NameInternational Symposium on Image and Signal Processing and Analysis, ISPA
Volume1
ISSN (Print)1845-5921
ISSN (Electronic)1849-2266

Conference

Conference3rd International Symposium on Image and Signal Processing and Analysis, ISPA 2003
CountryItaly
CityRome
Period18/09/0320/09/03

Keywords

  • Automation
  • Chemical analysis
  • Chemical industry
  • Fatigue
  • Image analysis
  • Inorganic materials
  • Lead
  • Life estimation
  • Metals industry
  • Surface cracks

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