Frequency as a key parameter in discriminating the failure types of thermal barrier coatings: Cluster analysis of acoustic emission signals
A key parameter in discriminating the failure types of thermal barrier coatings (TBCs) was found out by using the k-means cluster analysis of acoustic emission (AE) signals. It is shown that there are five classes of mechanisms, including surface vertical cracks, opening interface cracks, sliding in...
| Main Authors: | , , , , , |
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| Format: | Journal Article |
| Published: |
Elsevier S.A
2015
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/27294 |
| _version_ | 1848752223518982144 |
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| author | Yang, L. Kang, H. Zhou, Y. Zhu, W. Cai, C. Lu, Chunsheng |
| author_facet | Yang, L. Kang, H. Zhou, Y. Zhu, W. Cai, C. Lu, Chunsheng |
| author_sort | Yang, L. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | A key parameter in discriminating the failure types of thermal barrier coatings (TBCs) was found out by using the k-means cluster analysis of acoustic emission (AE) signals. It is shown that there are five classes of mechanisms, including surface vertical cracks, opening interface cracks, sliding interface cracks, substrate deformation and macroscopic cleavage or spallation. Except for the last one, the other four classes can be clearly distinguished from their peak frequency distributions in the ranges of 170–250, 400–500, 260–350 and 40–150 kHz, respectively. However, AE signals overlap with each other in other parameter spaces, e.g., amplitude, energy, rise time, and duration time. The results indicate that the frequency can be applied to identify the AE source mechanisms in TBCs. |
| first_indexed | 2025-11-14T08:05:12Z |
| format | Journal Article |
| id | curtin-20.500.11937-27294 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:05:12Z |
| publishDate | 2015 |
| publisher | Elsevier S.A |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-272942017-09-13T15:32:26Z Frequency as a key parameter in discriminating the failure types of thermal barrier coatings: Cluster analysis of acoustic emission signals Yang, L. Kang, H. Zhou, Y. Zhu, W. Cai, C. Lu, Chunsheng Acoustic emission k-Means clustering Thermal barrier coatings Key parameter A key parameter in discriminating the failure types of thermal barrier coatings (TBCs) was found out by using the k-means cluster analysis of acoustic emission (AE) signals. It is shown that there are five classes of mechanisms, including surface vertical cracks, opening interface cracks, sliding interface cracks, substrate deformation and macroscopic cleavage or spallation. Except for the last one, the other four classes can be clearly distinguished from their peak frequency distributions in the ranges of 170–250, 400–500, 260–350 and 40–150 kHz, respectively. However, AE signals overlap with each other in other parameter spaces, e.g., amplitude, energy, rise time, and duration time. The results indicate that the frequency can be applied to identify the AE source mechanisms in TBCs. 2015 Journal Article http://hdl.handle.net/20.500.11937/27294 10.1016/j.surfcoat.2015.01.014 Elsevier S.A restricted |
| spellingShingle | Acoustic emission k-Means clustering Thermal barrier coatings Key parameter Yang, L. Kang, H. Zhou, Y. Zhu, W. Cai, C. Lu, Chunsheng Frequency as a key parameter in discriminating the failure types of thermal barrier coatings: Cluster analysis of acoustic emission signals |
| title | Frequency as a key parameter in discriminating the failure types of thermal barrier coatings: Cluster analysis of acoustic emission signals |
| title_full | Frequency as a key parameter in discriminating the failure types of thermal barrier coatings: Cluster analysis of acoustic emission signals |
| title_fullStr | Frequency as a key parameter in discriminating the failure types of thermal barrier coatings: Cluster analysis of acoustic emission signals |
| title_full_unstemmed | Frequency as a key parameter in discriminating the failure types of thermal barrier coatings: Cluster analysis of acoustic emission signals |
| title_short | Frequency as a key parameter in discriminating the failure types of thermal barrier coatings: Cluster analysis of acoustic emission signals |
| title_sort | frequency as a key parameter in discriminating the failure types of thermal barrier coatings: cluster analysis of acoustic emission signals |
| topic | Acoustic emission k-Means clustering Thermal barrier coatings Key parameter |
| url | http://hdl.handle.net/20.500.11937/27294 |