Real-time testing of the failure process and rupture time prediction in thermal barrier coatings using accoustic emission.
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The real-time testing and quantitative assessment of damage evolution in thermal barrier coatings (TBCs) is desirable, but still intractable. In this paper, the fracture process of TBCs subjected to mechanical or thermal loading are monitored using an acoustic emission method. Based on the wavelet analysis of acoustic emission signals, damage modes in TBCs are discriminated. The results show that, due to thermal stress, it is preferential for vertical cracks in the heating stage and interface cracks in the cooling stage, and the failure of thermal barrier coatings originates from surface vertical cracking and follows interface cracking under tensile loading. The surface crack density and interface crack length are calculated to obtain the quantitative correlation of damage evolution in TBCs and acoustic emission parameters. The cracking source identified from AE signals agrees well with that observed by optical microscopy. The rupture time of TBCs can be predicted by the statistical analysis of acoustic emission signals.
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Damage evolution and rupture time prediction in thermal barrier coatings subjected to cyclic heating and cooling: an acoustic emission methodYang, L.; Zhou, Y.; Lu, Chungsheng (2011)The real-time testing and quantitative assessment of damage evolution in thermal barrier coatings (TBCs) is desirable, but still intractable, especially at elevated temperature. In this paper, the fracture process of TBCs ...
Yang, L.; Zhong, Z.; Zhou, Y.; Lu, Chunsheng (2014)In this paper, a modified shear-lag model is developed to calculate the surface crack density in thermal barrier coatings (TBCs). The mechanical properties of TBCs are also measured to quantitatively assess their surface ...
Frequency as a key parameter in discriminating the failure types of thermal barrier coatings: Cluster analysis of acoustic emission signalsYang, L.; Kang, H.; Zhou, Y.; Zhu, W.; Cai, C.; Lu, Chunsheng (2015)A key parameter in discriminating the failure types of thermal barrier coatings (TBCs) was found out by using the k-means cluster analysis of acoustic emission (AE) signals. It is shown that there are five classes of ...