Characterization by acoustic emission pattern recognition of microstructure evolution in a fused-cast refractory during high temperature cycling

Patapy, Cédric; Proust, Alain; Marlot, D.; Huger, Marc; Chotard, Thierry

doi:10.1016/j.jeurceramsoc.2010.07.021

Cited by 20 publications

(13 citation statements)

References 25 publications

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“…To clarify different fracture sources in TBCs by the AE technique, it is crucial to correlate AE signals with failure modes. As we know, the frequency spectrums of AE signals are closely related to the characteristics and failure modes of tested materials [26,27] , but are almost independent of failure size and outside load [16,28,29] . In the following discussion, an individual AE signal in Fig.…”

Section: Ae Waveform Analysis and Fracture Modesmentioning

confidence: 99%

Acoustic emission analysis on tensile failure of air plasma-sprayed thermal barrier coatings

Yao

Dai

Mao

et al. 2012

Surface and Coatings Technology

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An acoustic emission technique was used to monitor the cracking behavior and fracture process of thermal barrier coatings subjected to tensile loading. Acoustic emission signals were extracted and preformed by fast Fourier transform, and their characteristic frequency spectrums and dominant bands were obtained to reveal fracture modes. Three different characteristic frequency bands were confirmed, corresponding to substrate deformation, surface vertical cracking and interface delamination, with the aid of scanning electronic microscopy observations. A map of the tensile failure mechanism of air plasma-sprayed thermal barrier coatings was HighlightsWe established several good correlations between AE data and fracture modes.The correlations can be utilized to reveal cracking profile and coating failure.A tensile failure mechanism of coating system was established.Fracture strength of thermal barrier coating has been obtained by this method.The method has a large advantage to study the failure of coating/film materials.

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Section: Ae Waveform Analysis and Fracture Modesmentioning

confidence: 99%

Acoustic emission analysis on tensile failure of air plasma-sprayed thermal barrier coatings

Yao

Dai

Mao

et al. 2012

Surface and Coatings Technology

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“…Refractory materials containing high amounts of ZrO 2 are widely used as flux blocks for glass-making furnaces owing to the resistance of ZrO 2 to the corrosive effects of molten glass [1,2]. The size of these blocks is several hundreds of millimetres.…”

Section: Introductionmentioning

confidence: 99%

Neutron diffraction measurements of residual stress distribution in large zirconia based refractory bricks produced by electro-fusion and casting

Örs

Gouraud

Guinebretière

et al. 2017

Journal of the European Ceramic Society

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a b s t r a c tElectro-fusion and casting is used to produce large refractory bricks (∼250 kg) containing a high amount of ZrO 2 . These bricks are used in glass-making furnaces where good mechanical performance is required at very high temperatures (>1500• C). During the manufacturing procedure, they develop large residual stresses as a result of the cooling conditions and structural phase transformations they underwent. This leads to stress concentration and crack formation at different length scales. In order to characterize these phenomena, a 'multi-scale' analysis approach is under development, where different internal strain measurement methods are combined. In this approach we benefit from different gauge volumes provided by various diffraction methods, ranging from a few hundred nanometres to a few tens of millimetres. In the present paper, the results of neutron diffraction measurements on large ZrO 2 blocks are given. These results show the level of internal strains at the millimetre scale, based on (311) reflection of the monoclinic ZrO 2 . Overall, a range of 0.025% tensile to 0.1% compressive strain was observed. Clear strain gradients were also visible, as larger values in the interior of the block were encountered.

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“…One suitable approach to autonomous interpretation is the application of feature extraction based pattern recognition techniques. Previous studies are found to be successfully employed pattern recognition techniques to interpret the hidden trends of the complex stress wave signals [4]- [7]. Additionally, pattern recognition has successfully facilitated autonomous defect identification process in many structural application such as bearing, composite beam and pressure vessel [8]- [10].…”

Section: Introductionmentioning

confidence: 99%

Pattern Recognition Approach of Stress Wave Propagation in Carbon Steel Tubes for Defect Detection

Halim¹,

Jamaludin²,

Junaidi³

et al. 2015

IJCTE

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Abstract-The conventional stress wave signal interpretation in heat exchanger tube inspection is human dependent. The difficulties associated with accurate defect interpretations are skills and experiences of the inspector. Hence, in present study, alternative pattern recognition approach was proposed to interpret the presence of defect in carbon steel heat exchanger tubes SA179. Several high frequency stress wave signals propagated in the tubes due to impact are captured using Acoustic Emission method. In particular, one reference tube and two defective tubes were adopted. The signals were then clustered using the feature extraction algorithms. This paper tested two feature extraction algorithms namely Principal Component Analysis (PCA) and Auto-Regressive (AR). The pattern recognition results showed that the AR algorithm is more effective in defect identification. Good comparisons with the commonly global statistical analysis demonstrate the effective application of the present approach for defect detection. IndexTerms-Auto-regressive, pattern recognition, principal component analysis, stress wave.

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Characterization by acoustic emission pattern recognition of microstructure evolution in a fused-cast refractory during high temperature cycling

Cited by 20 publications

References 25 publications

Acoustic emission analysis on tensile failure of air plasma-sprayed thermal barrier coatings

Acoustic emission analysis on tensile failure of air plasma-sprayed thermal barrier coatings

Neutron diffraction measurements of residual stress distribution in large zirconia based refractory bricks produced by electro-fusion and casting

Pattern Recognition Approach of Stress Wave Propagation in Carbon Steel Tubes for Defect Detection

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