Multiscale wavelet-based analysis and characterization of fretting fatigue damage in titanium alloys

George N. Frantziskonis, Theodore E. Matikas

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


Wavelet analysis is used to rationalize information at various scales in several branches of science, including particle physics, biology, electrical engineering, fluid mechanics, and medicine. However, this powerful technique has not been applied extensively to characterize structures of materials, fretting damage for the present case, even though many critical questions could be addressed. In particular, the following unsolved problems are considered in this paper: (a) The first problem deals with the quantitative characterization of fretted surfaces in a Ti-6A1-4V alloy. This is investigated by analyzing profilometric digital images of fretted surfaces obtained in a range of magnifications. Wavelet analysis of the data is able to identify, by examining the wavelet coefficients, dominant length scales as those regions in scale-space where the energy of the wavelet transform and/or peaks of local concentration dominate. For the range of magnifications examined, i.e. from 1.25× to 100×, the ̃20× magnification is identified as the one with the most useful information. (b) An alternative procedure is employed for the second use of wavelets which deals with the non-uniformity of the contact regions. Wavelet analysis is employed to identify partially slipping regions, which result in the "pattern" of the fretted surface morphology.

Original languageEnglish (US)
Pages (from-to)1758-1767
Number of pages10
JournalMaterials Transactions
Issue number7
StatePublished - Jul 2009


  • Fretting fatigue
  • Image processing
  • Nondestructive evaluation
  • Titanium alloys
  • Wavelet analysis

ASJC Scopus subject areas

  • Materials Science(all)
  • Condensed Matter Physics
  • Mechanics of Materials
  • Mechanical Engineering


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