SEM-Guided Finite Element Simulation of Thermal Stresses in Multilayered Suspension Plasma-Sprayed TBCs
Abstract
:1. Introduction
2. Finite Element Model
2.1. Geometry Preparation
- To reduce the image noise, a 2-D median filtering was applied to the SEM image. Subsequently, the gray intensity image was converted into a binary image by applying a threshold level using Otsu’s method [38] to differentiate intercolumnar gaps and pores in the GZ layer. Otsu’s method computes a global threshold value from the processed grayscale image. After that, the Canny edge detection algorithm was used to extract the boundaries of these microstructural features. The Canny method uses two thresholds that need to be specified to detect strong and weak edges. These threshold values are specified in such a way that best extracts the boundaries of the geometric features with a visual comparison between processed and original images. The specified lower and upper threshold values were 0.01 and 0.1, respectively. The Canny method is less affected by noise with more capability to detect weak edges [37].
- A second threshold value was specified (i.e., 0.15) to convert the SEM grayscale image into a black–white image (i.e., binary representation) that only distinguishes the pores feature in the YSZ segment, followed by the edge detection step. The Canny edge detection method was again used by defining upper and lower threshold values, which were 0.1 and 0.01, respectively. These values were selected to achieve the best edge detection, by overlaying the output of the edge detection step onto the SEM image for comparison and accuracy-justifying purposes.
- To properly extract the GZ/YSZ and YSZ/BC interfaces, a series of low-pass filters (e.g., median filter, bilateral filtering, etc.) were first used to reduce noise signals and artifacts, aiming to enhance the overall image quality and permitting only the detection of meaningful features (i.e., interfaces). Again, the type, number, and sequence of filters applied can differ based on the image quality and the complexity of identified features. Subsequently, a 3 by 3 kernel for a high pass filter was utilized to sharpen and emphasize the fine details (interface morphology) in the image followed by using the Canny method to detect the real interface morphology. The Canny threshold values used were 0.1 and 0.01 for the upper and lower levels, respectively.
2.2. Material Properties
Substrate [48] | BC [22,49] | TGO [20,22,49] | YSZ [17,50,51] | GZ [17,52] | |
---|---|---|---|---|---|
Temperature range (T), °C | 20–1000 | 20–1100 | 20–1100 | 20–1200 | 20–1200 |
Young’s modulus (E), GPa | 205–148 | 200–110 | 400–320 | 109–69 | 109–69 |
Poisson’s ratio (ν) | 0.32–0.32 | 0.3–0.33 | 0.23–0.25 | 0.25–0.25 | 0.284–0.284 |
Thermal expansion coefficient (α × 10−6)/°C | 13.9–16.6 | 13.6–17.6 | 8–9.6 | 9–12.2 | 7.69–11.43 |
Thermal conductivity (k), W/(m·°C) | 9.2–26.7 | 5.8–17 | 10–4 | 2.03–1.75 | 1.45–1.17 |
Density (ρ), kg/m3 | 8220 | 8100 | 3978 | 5082 | 5936 |
Specific heat (Cp), J/(kg·°C) | 486–784 | 501–764 | 755–755 | 469–649 | 359–486 |
Yield Strength (σY), MPa | 376–43 | 426–114 | 10,000–1000 |
Material | A (S−1 MPa−n) | n | Temperature (°C) |
---|---|---|---|
GZ | 1.8 × 10−9 | 1 | |
YSZ | 1.8 × 10−9 | 1 | |
TGO | 7.3 × 10−9 | 1 | |
BC | 6.54 × 10−19 | 4.57 | ≤625 |
2.2 × 10−12 | 2.99 | 725 | |
2.15 × 10−8 | 2.45 | ≥875 | |
Substrate | 3.08 × 10−10 | 3 |
2.3. Thermo-Mechanical Boundary Conditions
2.4. Meshing Procedure and Element Type
2.5. Limitations and Capabilities of the FE Model
3. Results and Discussion
3.1. Thermal Stresses Evolution in Double-Layer TBC
3.2. Thermal Stress Evolution in YSZ Single-Layer TBCs
3.3. Thermal Stress Evolution in GZ Single-Layer TBCs
4. Conclusions
- The morphology of microstructural features, such as intercolumnar gaps and pores, along with their distribution and interaction zones, can serve as stress concentrators in the direction perpendicular to the general interface layout. Therefore, the tensile stresses developed along the Y-direction (S22) are nearly twice as much as the tensile stresses developed along the X-direction (S11), increasing the likelihood of horizontal crack initiation and propagation and ultimately leading to coating spallation.
- The thermomechanical FE results suggest that the swelling of the TGO layer during high-temperature oxidation has a significant influence on both the distribution and evolution of thermal mismatch stresses. The increase in the TGO thickness was observed to elevate stress levels (e.g., an increase of over 500 MPa in S22 stress detected in the YSZ single-layer model when comparing the 2 μm to 8 μm TGO thicknesses). Additionally, the TGO thickening led to the relocation of stress concentration from the upper side of the ceramic layer toward the TC/TGO interface, promoting crack initiation at different locations across the thickness of the ceramic layer. These findings align with and confirm our ex situ experimental observations, where horizontal cracks were recorded at varied locations, such as 60, 130, and 180 μm away from the TGO layer, within the ceramic layer. This contributes to a better understanding of the crack initiation behavior of the multilayer TBC system.
- The interface between the ceramic layer and the TGO scale was found to be the most critical interface, accommodating higher normal and shear stresses compared with other interfaces in the multilayer TBC system. Generally, the tensile shear stresses along the interface between the ceramic layer and the TGO were greater than the normal stresses in the double-layer SPS structure, with a difference of about 150 MPa at 8 μm TGO, promoting mode II failure. In contrast, in a single-layer TBC system, the tensile normal stresses along the TC/TGO interface were higher, reaching approximately 200 MPa difference at 8 μm TGO, thereby increasing the likelihood of mode I failure. This promotes the understanding of potential failure modes in a multilayer TBC system, which cannot be achieved with ex situ experimental observations.
- The irregularity in the morphology of the TGO layer can accommodate thermal stresses of different natures (tensile or compressive), promoting arbitrary crack initiation and propagation. For instance, deteriorating microcracks can develop in the valley region through tensile stress S22, while in the peak region, it is dominated by compressive stress S22. Hence, controlling the roughness and thickness of the TGO layer along with improving the interfacial toughness (especially at the ceramic layer/TGO interface) can extend the coating performance and lifetime.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Minimum Element Size (µm) | 1/Minimum Element Size (µm−1) | Maximum S22 (GPa) |
---|---|---|
1.8 | 0.56 | 1.935 |
1.5 | 0.67 | 2.052 |
1 | 1 | 2.168 |
0.7 | 1.43 | 2.389 |
0.5 | 2 | 2.472 |
0.25 | 4 | 2.489 |
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Amer, M.; Abdelgawad, A.; Curry, N.; Arshad, M.; Hayat, Q.; Janik, V.; Nottingham, J.; Bai, M. SEM-Guided Finite Element Simulation of Thermal Stresses in Multilayered Suspension Plasma-Sprayed TBCs. Coatings 2024, 14, 123. https://doi.org/10.3390/coatings14010123
Amer M, Abdelgawad A, Curry N, Arshad M, Hayat Q, Janik V, Nottingham J, Bai M. SEM-Guided Finite Element Simulation of Thermal Stresses in Multilayered Suspension Plasma-Sprayed TBCs. Coatings. 2024; 14(1):123. https://doi.org/10.3390/coatings14010123
Chicago/Turabian StyleAmer, Mohamed, Ahmed Abdelgawad, Nicholas Curry, Muhammad Arshad, Qamar Hayat, Vit Janik, Jon Nottingham, and Mingwen Bai. 2024. "SEM-Guided Finite Element Simulation of Thermal Stresses in Multilayered Suspension Plasma-Sprayed TBCs" Coatings 14, no. 1: 123. https://doi.org/10.3390/coatings14010123
APA StyleAmer, M., Abdelgawad, A., Curry, N., Arshad, M., Hayat, Q., Janik, V., Nottingham, J., & Bai, M. (2024). SEM-Guided Finite Element Simulation of Thermal Stresses in Multilayered Suspension Plasma-Sprayed TBCs. Coatings, 14(1), 123. https://doi.org/10.3390/coatings14010123