Life prediction of thermal barrier coatings on turbine blades based on a multiscale approach
- verfasst von
- Juan Ma, Fuqiang Zhang, Qingya Li, Shengxin Lai, Huawang Zhang, Kangfan Wang, Peter Wriggers
- Abstract
The life prediction of thermal barrier coatings for turbine blades encounters many obstacles as a result of the intricate microstructure and the demanding diverse service conditions. This work examines the behavioral traits of turbine blades at micro- and macroscale using the concept of multiscale modeling. Subsequently, a life prediction model for thermal barrier coatings is proposed with the aid of an artificial neural network-based surrogate model. The model considers the impact of oxidation, creep, and thermal mismatch on the thermal barrier coating, as well as the collective influence of cooling conditions on the thermal barrier coatings of macroscopic blades. In comparison to the conventional finite element computation, the model exhibits superior predictive accuracy in assessing the interfacial oxidation and degradation of the thermal barrier coating on the turbine blade, particularly when considering the effects of the coupling field.
- Organisationseinheit(en)
-
Institut für Kontinuumsmechanik
- Externe Organisation(en)
-
Xidian University
- Typ
- Artikel
- Journal
- Surface and Coatings Technology
- Band
- 513
- ISSN
- 0257-8972
- Publikationsdatum
- 01.10.2025
- Publikationsstatus
- Veröffentlicht
- Peer-reviewed
- Ja
- ASJC Scopus Sachgebiete
- Allgemeine Chemie, Physik der kondensierten Materie, Oberflächen und Grenzflächen, Oberflächen, Beschichtungen und Folien, Werkstoffchemie
- Elektronische Version(en)
-
https://doi.org/10.1016/j.surfcoat.2025.132494 (Zugang:
Geschlossen)
