The lifespan of plasma-sprayed thermal barrier coating(TBC)systems is difficult to predict owing to the variety of microstructures and deterioration histories.In this study,we developed a novel TBC damage model to ref...The lifespan of plasma-sprayed thermal barrier coating(TBC)systems is difficult to predict owing to the variety of microstructures and deterioration histories.In this study,we developed a novel TBC damage model to reflect deterioration histories;thus,it can be applied to various TBCs.Damage to TBCs is classifed into oxidation and mechanical damage;therefore,a detailed deterioration history can be reflected.In addition,by introducing a virtual S–N diagram,a life prediction model that can be applied to TBCs with various microstructures was established.We used the proposed damage and life prediction models in isothermal aging and thermal cycle tests with different aging cycles.The predicted lifespan of TBCs by using the proposed models was within 95%of the results obtained by performing actual tests in the temperature range of 1150–1350℃.展开更多
基金supported by the Korea Institute of Energy Technology Evaluation and Planning(KETEP)grant,funded by the Korean government(MOTIE)(No.20193310100030)the National Research Foundation of Korea(NRF)grant funded by the Korean government(MSIT)(No.2018R1A2A1A05077886)。
文摘The lifespan of plasma-sprayed thermal barrier coating(TBC)systems is difficult to predict owing to the variety of microstructures and deterioration histories.In this study,we developed a novel TBC damage model to reflect deterioration histories;thus,it can be applied to various TBCs.Damage to TBCs is classifed into oxidation and mechanical damage;therefore,a detailed deterioration history can be reflected.In addition,by introducing a virtual S–N diagram,a life prediction model that can be applied to TBCs with various microstructures was established.We used the proposed damage and life prediction models in isothermal aging and thermal cycle tests with different aging cycles.The predicted lifespan of TBCs by using the proposed models was within 95%of the results obtained by performing actual tests in the temperature range of 1150–1350℃.
