Development of a micromechanical life prediction model for plasma sprayed thermal barrier coatings

2001 ◽  
Vol 303 (1-2) ◽  
pp. 100-109 ◽  
Author(s):  
R. Vaßen ◽  
G. Kerkhoff ◽  
D. Stöver
2010 ◽  
Vol 24 (15n16) ◽  
pp. 3161-3166 ◽  
Author(s):  
LIYONG NI ◽  
CHAO LIU ◽  
CHUNGEN ZHOU

The durability and reliability of thermal barrier coatings(TBCs) have become a major concern of hot-section components due to lack of a reliable life prediction model. In this paper, it is found that the failure location of TBCs is at the TBC/TGO interface by a sequence of crack propagation and coalescence process. The critical crack length of failure samples is 8.8mm. The crack propagation rate is 3-10µm/cycle at the beginning and increases largely to 40µm/cycle near coating failure. A life prediction model based a simple fracture mechanics approach is proposed.


2013 ◽  
Vol 592-593 ◽  
pp. 413-416 ◽  
Author(s):  
Robert Eriksson ◽  
Kang Yuan ◽  
Sten Johansson ◽  
Ru Lin Peng

The widespread use of thermal barrier coatings (TBC) in gas turbines stresses the importance of accurate life prediction models for TBCs. During service, the TBC may fail due to thermal fatigue or through the formation of thermally grown oxides (TGOs). The current paper presents a Thermo-Calc/Dictra-based approach to life prediction of isothermally oxidised atmospheric plasma sprayed (APS) TBCs. The β-phase depletion of the coating was predicted and compared to life prediction criteria based on TGO thickness and Al content in the coating. All tried life models underestimated the life of the coating where the β-depletion-based model was the most conservative.


2014 ◽  
Vol 941-944 ◽  
pp. 1625-1628 ◽  
Author(s):  
Hong Xun Wang ◽  
Wei Fang Zhang ◽  
Tian Jiao Liu

In recent years, the key research on thermal barrier coatings (TBCs) lies in the performance improvement of materials as well as structure and process improvement, and achieves new progresses. The difficulty is application of reliability in TBCs. Researchers are exploring that employing non-destructive testing (NDT) and life prediction model on TBCs to conduct a comprehensive and real-time detection and predict the life, so as to improve the safety of TBCs in service process.


2021 ◽  
Vol 206 ◽  
pp. 116649
Author(s):  
Xun Zhang ◽  
Alan C.F. Cocks ◽  
Yoshifumi Okajima ◽  
Kazuma Takeno ◽  
Taiji Torigoe

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