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Application of the Spectral Analysis of Acoustic Emission Signals to Studies of Vulnerability of TiN Coatings on Steel Substrates

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Abstract

A technique has been suggested for processing spectra of acoustic emission (AE) signals based on a signal classification using shapes of normalized spectral density curves. This enables one to calculate averaged spectral images of AE signal groups, which characterize specific types of AE sources, and to estimate intensities of various emission sources on various stages of deformation. The suggested technique has been used in estimating the TiN vulnerability when it is strained concurrently with the substrate.

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Authors and Affiliations

  1. Togliatti State University, Togliatti, Samara Region, Russia

    D. L. Merson, A. A. Razuvaev & A. Yu. Vinogradov

  2. University of Osaka, Japan

    D. L. Merson & A. Yu. Vinogradov

Authors
  1. D. L. Merson
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  2. A. A. Razuvaev
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  3. A. Yu. Vinogradov
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Merson, D.L., Razuvaev, A.A. & Vinogradov, A.Y. Application of the Spectral Analysis of Acoustic Emission Signals to Studies of Vulnerability of TiN Coatings on Steel Substrates. Russian Journal of Nondestructive Testing 38, 508–516 (2002). https://doi.org/10.1023/A:1022154321301

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  • DOI: https://doi.org/10.1023/A:1022154321301

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