Quantitative Assessment of Failure in Tbcs Based on Frequency Spectrum of Acoustic Emission

Abstract eng:
Fracture behavior of thermal barrier coatings (TBCs) subjected to thermal and/or mechanical loading is investigated using an acoustic emission (AE) method. The crack mode is only dependent on frequency spectrum of AE signal, which phenomena is proved by clustering analysis of AE parameters. Based on this result, intelligent discrimination of crack modes are realized by using wavelet packet transformation and neural network analysis of AE. The quantitative correlations of damage in TBCs and AE parameters are established, including surface crack density and interface crack length, which are well agreement with experimental results.

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