Identification of nanosized defects using tribospectroscopy. Modeling by movable cellular automaton method

Galina M. Eremina, Alexey Yu Smolin, Valery V. Sergeev, Sergey G. Psakhie

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

4 Citations (Scopus)

Abstract

The work describes the application of the movable cellular automaton method for the simulation of typical situations of nano-scale crack identification in ceramic coatings by the spectral analysis of friction force continuously registered using a small counter-body moving over the coating surface. It is shown that the Fourier spectra of the friction force have peaks that correspond to the distance between the nanocracks oriented perpendicular and at some angle to the tested surface. The obtained results allow to conclude that the appearance of cracks on the Fourier spectra of friction force depends on their orientation. Thus, the distance between cracks, their orientation and sizes can be identified by the method of tribospectroscopy.

Original languageEnglish
Title of host publicationAIP Conference Proceedings
PublisherAmerican Institute of Physics Inc.
Pages139-142
Number of pages4
Volume1623
ISBN (Electronic)9780735412606
DOIs
Publication statusPublished - 1 Jan 2014
EventInternational Conference on Physical Mesomechanics of Multilevel Systems 2014 - Tomsk, Russian Federation
Duration: 3 Sep 20145 Sep 2014

Conference

ConferenceInternational Conference on Physical Mesomechanics of Multilevel Systems 2014
CountryRussian Federation
CityTomsk
Period3.9.145.9.14

Fingerprint

cellular automata
friction
cracks
defects
ceramic coatings
spectrum analysis
counters
coatings
simulation

Keywords

  • Coating
  • Modeling
  • Movable cellular automaton method
  • Nanocracks
  • Non-destructive testing
  • Tribospectroscopy

ASJC Scopus subject areas

  • Physics and Astronomy(all)

Cite this

Eremina, G. M., Smolin, A. Y., Sergeev, V. V., & Psakhie, S. G. (2014). Identification of nanosized defects using tribospectroscopy. Modeling by movable cellular automaton method. In AIP Conference Proceedings (Vol. 1623, pp. 139-142). American Institute of Physics Inc.. https://doi.org/10.1063/1.4898902

Identification of nanosized defects using tribospectroscopy. Modeling by movable cellular automaton method. / Eremina, Galina M.; Smolin, Alexey Yu; Sergeev, Valery V.; Psakhie, Sergey G.

AIP Conference Proceedings. Vol. 1623 American Institute of Physics Inc., 2014. p. 139-142.

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

Eremina, GM, Smolin, AY, Sergeev, VV & Psakhie, SG 2014, Identification of nanosized defects using tribospectroscopy. Modeling by movable cellular automaton method. in AIP Conference Proceedings. vol. 1623, American Institute of Physics Inc., pp. 139-142, International Conference on Physical Mesomechanics of Multilevel Systems 2014, Tomsk, Russian Federation, 3.9.14. https://doi.org/10.1063/1.4898902
Eremina GM, Smolin AY, Sergeev VV, Psakhie SG. Identification of nanosized defects using tribospectroscopy. Modeling by movable cellular automaton method. In AIP Conference Proceedings. Vol. 1623. American Institute of Physics Inc. 2014. p. 139-142 https://doi.org/10.1063/1.4898902
Eremina, Galina M. ; Smolin, Alexey Yu ; Sergeev, Valery V. ; Psakhie, Sergey G. / Identification of nanosized defects using tribospectroscopy. Modeling by movable cellular automaton method. AIP Conference Proceedings. Vol. 1623 American Institute of Physics Inc., 2014. pp. 139-142
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