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Acoustic emission monitoring and failure behavior discrimination of 8YSZ thermal barrier coatings under Vickers indentation testing

机译:维氏压痕试验下8苏斯热阻挡涂层的声发射监测和失效行为鉴别

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摘要

Acoustic emission (AE) is a dynamic non-destructive detecting technique, and could be a promising application for failure detection of plasma sprayed coatings. This work presents a thorough study for detecting and classifying different failure modes under Vickers indentation testing of 8 wt% Y2O3-stabilized ZrO2 (8YSZ) thermal barrier coatings (TBCs) by using acoustic emission technique. Cluster analysis and wavelet packet transform (WPT) were used to characterize the acoustic emission signals released from as-sprayed TBCs during indentation testing. Back-propagation (BP) neural network was used to study the effect of thermal exposure treatment on damage evolution of 8YSZ coatings. The results of cluster analysis showed that there were three types of AE signals associated with distinct failure modes for 8YSZ thermal barrier coatings under Vickers indentation testing. Based on wavelet packet transform, the dominant frequency bands of these three types of signals were concentrated at levels 0-156.25 kHz, 156.25-234.375 kHz and 312.5-390.625 kHz, respectively. Combined with scanning electron microscope (SEM) micrographs of residual Vickers impression, it can be found that 8YSZ coatings have undergone three processes: elastic-plastic deformation, micro-cracks propagation and debonding at the splat boundaries during the indentation testing. The BP neural network identification results showed that after high temperature thermal exposure treatment, the strain tolerance and service durability of 8YSZ thermal barrier coatings decreased while the more fracture signals are generated during the indentation process. The high temperature oxidation environment accelerated the degradation of the plasma sprayed 8YSZ thermal barrier coatings.
机译:声发射(AE)是一种动态的非破坏性检测技术,并且可能是对等离子体喷涂涂层的故障检测的有望应用。该工作介绍了通过使用声发射技术检测和分类8wt%Y2O3稳定的ZrO2(8YSZ)热阻挡涂层(8YSZ)热阻挡涂层(80SZ)的不同故障模式的彻底研究。集群分析和小波分组变换(WPT)用于表征在压痕测试期间从喷涂的TBC释放的声发射信号。回波(BP)神经网络用于研究热曝光处理对8苏斯涂层损伤演化的影响。聚类分析结果表明,在维克斯压痕测试下,在8苏斯热阻挡涂层中有三种类型的AE信号相关联的AE信号。基于小波包变换,这些三种信号的显性频段分别浓缩在0-156.25 kHz,156.25-234.375 kHz和312.5-390.625 kHz水平。结合扫描电子显微镜(SEM)的残留维克斯印象,可以发现,8苏斯涂层经过三种方法:在压痕测试期间,弹性塑性变形,微裂纹传播和剥离在夹持边界处。 BP神经网络识别结果表明,在高温热曝光处理后,8YSZ热阻挡涂层的应变容差和耐久性降低,同时在压痕过程中产生的裂缝信号越多。高温氧化环境加速了等离子体喷涂的8苏斯热阻挡涂层的劣化。

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