Thermal cyclic behavior and lifetime prediction of self-healing thermal barrier coatings

The thermal cyclic behavior of self-healing barrier coatings (SH-TBC) is analyzed numerically to develop a lifetime prediction model. Representative microstructures are studied adopting unit cell based multiscale modeling approach along with simplified evolution model for the thermally-grown oxide layer (TGO) study damage and healing in TBC system. fracture process modeled using cohesive zone-based crack tracking algorithm. microstructural includes splat boundaries wavy interface between Top Coat Bond Coat, typical Air Plasma Sprayed TBCs. A particle-based mechanism accounted random distribution particles subjected accelerated loading condition. Lifetime extension self TBCs quantified by conducting analyses on conventional (benchmark system without particles). Parametric parameters such as filling ratio strength recovery healed also conducted. results presented terms pattern number cycles failure. For suitable reaction (i.e., cracks being partially filled minimal local after healing), an improvement observed. In contrast, if not activated, presence actually detrimental TBC. Correspondingly, addition superior strength, significant achieved higher probability crack-healing particle interaction. This highlights importance robust activation set key material requirements order achieve successful