Reliability evaluation of thermal barrier coatings for engine combustion chambers based on Monte-Carlo simulation

Wang, Zhiping; Wang, Zhe; Zhang, Tao; Guo, Wansen; Dai, Huwei; Ding, Kunying

doi:10.1016/j.surfcoat.2022.128923

Cited by 9 publications

(3 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, in recent years, many scholars have solved this problem through indirect methods [16][17][18]. The Monte Carlo method is used for calculations in this study [19].…”

Section: Basic Theorymentioning

confidence: 99%

See 1 more Smart Citation

Reliability Evaluation of EB-PVD Thermal Barrier Coatings in High-Speed Rotation and Gas Thermal Shock

Yan,

Li,

Liu

et al. 2024

Coatings

View full text Add to dashboard Cite

The uncertain service life of thermal barrier coatings (TBCs) imposes constraints on their secure application. In addressing this uncertainty, this study employs the Monte Carlo simulation method for reliability evaluation, quantifying the risk of TBC peeling. For reliability evaluation, the failure mode needs to be studied to determine failure criteria. The failure mode of high-speed rotating TBCs under gas thermal shock was studied by combining fluid dynamics simulations and experiments. Based on the main failure mode, the corresponding failure criterion was established using the energy release rate, and its limit state equation was derived. After considering the dispersion of parameters, the reliability of TBCs was quantitatively evaluated using failure probability and sensitivity analysis methods. The results show that the main mode is the fracture of the ceramic layer itself, exhibiting a distinctive top-down “step-like” thinning and peeling morphology. The centrifugal force emerges as the main driving force for this failure mode. The failure probability value on the top side of the blade is higher, signifying that coating failure is more likely at this location, aligning with the experimental findings. The key parameters influencing the reliability of TBCs are rotation speed, temperature, and the thermal expansion coefficient. This study offers a valuable strategy for the secure and reliable application of TBCs on aeroengine turbine blades.

show abstract

“…Therefore, in recent years, many scholars have solved this problem through indirect methods [16][17][18]. The Monte Carlo method is used for calculations in this study [19].…”

Section: Basic Theorymentioning

confidence: 99%

“…Therefore, in recent years, many scholars have indirect methods [16][17][18]. The Monte Carlo method is used [19].…”

Section: [ ( )]mentioning

confidence: 99%

Reliability Evaluation of EB-PVD Thermal Barrier Coatings in High-Speed Rotation and Gas Thermal Shock

Yan,

Li,

Liu

et al. 2024

Coatings

View full text Add to dashboard Cite

show abstract

“…A typical TBC structure comprises the following three essential components: a ceramic layer (or top coat, TC), a bond coat (BC), and a substrate. The ceramic layer, with a thickness ranging from 100 to 600 µm, is predominantly composed of yttria-stabilized zirconia (YSZ), known for its low thermal conductivity and high coefficient of expansion [2][3][4][5]. Acting as an intermediary layer between the ceramic layer and the substrate, the BC is typically made of nickel-based or cobalt-based alloys, ensuring strong adhesion.…”

Section: Introductionmentioning

confidence: 99%

Data-Driven Method for Porosity Measurement of Thermal Barrier Coatings Using Terahertz Time-Domain Spectroscopy

et al. 2023

Coatings

View full text Add to dashboard Cite

Accurate measurement of porosity is crucial for comprehensive performance evaluation of thermal barrier coatings (TBCs) on aero-engine blades. In this study, a novel data-driven predictive method based on terahertz time-domain spectroscopy (THz-TDS) was proposed. By processing and extracting features from terahertz signals, multivariate parameters were composed to characterize the porosity. Principal component analysis, which enabled effective representation of the complex signal information, was introduced to downscale the dimensionality of the time-domain data. Additionally, the average power spectral density of the frequency spectrum and the extreme points of the first-order derivative of the phase spectrum were extracted. These extracted parameters collectively form a comprehensive set of multivariate parameters that accurately characterize porosity. Subsequently, the multivariate parameters were used as inputs to construct an extreme learning machine (ELM) model optimized by the sparrow search algorithm (SSA) for predicting porosity. Based on the experimental results, it was evident that the predictive accuracy of SSA-ELM was significantly higher than the basic ELM. Furthermore, the robustness of the model was evaluated through K-fold cross-validation and the final model regression coefficient was 0.92, which indicates excellent predictive performance of the data-driven model. By introducing the use of THz-TDS and employing advanced signal processing techniques, the data-driven model provided a novel and effective solution for the rapid and accurate detection of porosity in TBCs. The findings of this study offer valuable references for researchers and practitioners in the field of TBCs inspection, opening up new avenues for improving the overall assessment and performance evaluation of these coatings.

show abstract

Multilayer heterogeneous electrical insulation structure of HfO2/Al2O3 for high-temperature thin-film sensor on superalloy substrate

Wang,

Zhang,

Yang

et al. 2024

Applied Surface Science

View full text Add to dashboard Cite

Reliability evaluation of thermal barrier coatings for engine combustion chambers based on Monte-Carlo simulation

Cited by 9 publications

References 29 publications

Reliability Evaluation of EB-PVD Thermal Barrier Coatings in High-Speed Rotation and Gas Thermal Shock

Reliability Evaluation of EB-PVD Thermal Barrier Coatings in High-Speed Rotation and Gas Thermal Shock

Data-Driven Method for Porosity Measurement of Thermal Barrier Coatings Using Terahertz Time-Domain Spectroscopy

Multilayer heterogeneous electrical insulation structure of HfO2/Al2O3 for high-temperature thin-film sensor on superalloy substrate

Contact Info

Product

Resources

About