Discrete element method approach to simulate the thermo-mechanical behaviour of thermal barrier coatings during a thermal cycle

Thermal Barrier Coatings (TBCs) are advanced multilayer structures designed to provide thermal insulation for Ni-based superalloy components used in gas turbine blades. These coatings enhance the performance of the components by enabling them to withstand higher temperatures (∼ 1100 ° C). However, the complex microstructure of TBCs, combined with harsh operational environments, generate thermal and mechanical stresses and eventually lead to failure. Key failure mechanisms include creep deformation due to prolonged high-temperature exposure and thermal stresses arising from Coefficients of Thermal Expansion (CTE) mismatch. In this study, we propose a numerical model based on the Discrete Element Method (DEM) to investigate the development of thermal residual stresses within TBCs during the thermal cycle considering creep and CTE mismatch effects. A DEM viscoelastic creep model based on Norton’s law is first validated in the context of tensile and shear tests by comparison with the Finite Element Method (FEM) and the theory. In a second step, the proposed DEM approach is applied to the case of a multi-layer model of TBC microstructure derived from a real SEM image. Numerical simulations are led in the context of a thermal cycling including thermal expansion and creep effects as well as the growth of an oxide layer at high temperature. Results highlight that the DEM model accurately simulate the creep deformation and predicts thermal stresses that contribute to the failure of TBC systems under thermal loading.

Publication Details

Journal
Otto-von-Guericke-Universität Magdeburg
Published
2024-12-06
DOI
https://doi.org/10.24352/ub.ovgu-2024-064
Primary Topic
Antenna Design and Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Discrete element method approach to simulate the thermo-mechanical behaviour of thermal barrier coatings during a thermal cycle

Otto-von-Guericke-Universität Magdeburg
Antenna Design and Optimization
article

Discrete element method approach to simulate the thermo-mechanical behaviour of thermal barrier coatings during a thermal cycle

article en

Abstract

Thermal Barrier Coatings (TBCs) are advanced multilayer structures designed to provide thermal insulation for Ni-based superalloy components used in gas turbine blades. These coatings enhance the performance of the components by enabling them to withstand higher temperatures (∼ 1100 ° C). However, the complex microstructure of TBCs, combined with harsh operational environments, generate thermal and mechanical stresses and eventually lead to failure. Key failure mechanisms include creep deformation due to prolonged high-temperature exposure and thermal stresses arising from Coefficients of Thermal Expansion (CTE) mismatch. In this study, we propose a numerical model based on the Discrete Element Method (DEM) to investigate the development of thermal residual stresses within TBCs during the thermal cycle considering creep and CTE mismatch effects. A DEM viscoelastic creep model based on Norton’s law is first validated in the context of tensile and shear tests by comparison with the Finite Element Method (FEM) and the theory. In a second step, the proposed DEM approach is applied to the case of a multi-layer model of TBC microstructure derived from a real SEM image. Numerical simulations are led in the context of a thermal cycling including thermal expansion and creep effects as well as the growth of an oxide layer at high temperature. Results highlight that the DEM model accurately simulate the creep deformation and predicts thermal stresses that contribute to the failure of TBC systems under thermal loading.

Otto-von-Guericke-Universität Magdeburg
Openalex Percentile: Top 44%
Antenna Design and Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.