Study on thermal fatigue life prediction for plasma sprayed thermal barrier coatings on the surface of turbine vane

WEI Hong-liang; YANG Xiao-guang; QI Hong-yu

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Study on thermal fatigue life prediction for plasma sprayed thermal barrier coatings on the surface of turbine vane

更新时间：2026-07-07

- Study on thermal fatigue life prediction for plasma sprayed thermal barrier coatings on the surface of turbine vane
- Vol. 23, Issue 1, (2008)
- 作者机构：
  
  北京航空航天大学能源与动力工程学院,北京,100083
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2008
- 稿件说明：
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WEI Hong-liang, YANG Xiao-guang, QI Hong-yu. Study on thermal fatigue life prediction for plasma sprayed thermal barrier coatings on the surface of turbine vane[J]. 2008, 23(1).
DOI：

WEI Hong-liang, YANG Xiao-guang, QI Hong-yu. Study on thermal fatigue life prediction for plasma sprayed thermal barrier coatings on the surface of turbine vane[J]. 2008, 23(1). DOI：

摘要

针对等离子涂层涡轮导向叶片材料的变形特点

引入了粘塑性本构模型.进行了涂层高温氧化实验、带涂层构件热疲劳实验及有限元模拟研究.基于研究结果

建立了可以体现氧化损伤与热疲劳损伤耦合效应的寿命预测模型.计算分析了带涂层涡轮导向叶片的稳态温度场、涂层隔热效果和基于宏观尺度的应力应变场

研究了宏、细观有限元计算结果间的转换关系

提出了等效系数的方法

对涡轮导向叶片表面涂层的热疲劳寿命进行了预测.寿命预测结果合理

方法可行.

Abstract

According to the deformation characteristics of plasma sprayed ceramic thermal barrier coatings(TBC) and directional solidified superalloy substrate

viscoplastic constitutive models were introduced.Static oxidation test and thermal fatigue test of thermal barrier coating structures were conducted along with related FEManalysis.Alife prediction model for TBCwas established for presenting the coupling effect of oxidation damage and thermal fatigue damage.The steady temperature field

thermal barrier effect

and the macro-scale stress/strain fields of 3-dimensional turbine vane with TBCwere calculated and analyzed.The relationship between macro and micro-scale under scanning electronic microscopy of FEM(Finite Element Method) results was investigated.Amethod of equivalent coefficient was proposed while the thermal fatigue life for TBCon the surface of turbine vane was predicted

showing that the life prediction results are reasonable and the method is feasible.

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