YAO Yu-dong,AI Yan-ting,GUAN Peng,TIAN Jing,BAO Tian-nan.Thermal Fatigue Life Prediction Model for Thermal Barrier Coatings[J],51(6):267-274
Thermal Fatigue Life Prediction Model for Thermal Barrier Coatings
  
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DOI:10.16490/j.cnki.issn.1001-3660.2022.06.024
KeyWord:thermal barrier coatings  Manson-Coffin low-cycle fatigue model  linear fatigue accumulation theory  genetic algorithm  life prediction  analysis of biaxial stress-strain state
              
AuthorInstitution
YAO Yu-dong Shenyang Aerospace University, Shenyang , China
AI Yan-ting Shenyang Aerospace University, Shenyang , China
GUAN Peng Shenyang Aerospace University, Shenyang , China
TIAN Jing Shenyang Aerospace University, Shenyang , China
BAO Tian-nan Northwestern Polytechnical University, Xi’an , China
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Abstract:
      The work aims to investigate correlation of the thermal barrier coating life prediction model with various stress- strain information. The method used in this paper is as follows. Firstly, referring to experimental results of circular tube with thermal barrier coating, coating interface was simplified to a cosine curve and a corresponding two-dimensional axisymmetric finite element model was established. Then, considering the fatigue experimental results of the thermal barrier coating, the life prediction model of the thermal barrier coating was established by combining linear fatigue accumulation theory and Manson-Coffin equation. And transform fitting problem into an optimization problem, using GA to determine coefficients in the lifetime prediction model. Finally, the location of the risk point is one quarter of the wave peak from the top coat that determined based on microscopic photos of the thermal barrier coating experiment, and life prediction is performed by selecting 11 types stress-strain information that of normal, shear, equivalent and perpendicular to cosine surface morphology by biaxial stress-strain state analysis methods. The maximum error and average error of life prediction are analyzed, and the analysis results are verified. The results show that the maximum and average errors of coating life prediction using the equivalent variation range are minimum, 50% and 21%, respectively. It is also indicated that the coating life has greatest correlation with equivalent stress. The life prediction results of strain range under the maximum principal strain is also accuracy, the maximum error and average error are 52% and 25%, respectively. Compared with the results in the literature, the maximum error of life prediction based on equivalent strain is reduced by 169.1%, and overall life prediction value decreased from within ±2 scattering zone to within ±1.5 scattering zone. The equivalent strain range is used to predict the coating life under different working conditions. The prediction result is 130 cycles and the experimental result is 160 cycles. The above results prove the correctness and superiority of the method used in this paper, and also provide an effective method for predicting the coating life.
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