Experimental research on YSZ TBC structure debonding defect detection using long-pulsed excitation of infrared thermal wave non-destructive testing

Tang, Qingju; Gao, Shuaishuai; Liu, Yongjie; Lu, Yizhong; Xu, Peng

doi:10.2298/tsci180513128t

Cited by 4 publications

(2 citation statements)

References 12 publications

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“…Thermal imaging is non-contact, non-invasive measurement technique in which radiometers register infrared radiation and thermal energy from the surface of the observed object in the form of beams [26], which provides high efficiency and better safety compared to conventional testing and monitoring technologies [27,28]. The high thermal sensitivity and low spatial resolution of the cameras allow monitoring thermal changes at different printing settings with different materials.…”

Section: Introductionmentioning

confidence: 99%

Investigation of thermal and dimensional behavior of 3-D printed materials using thermal imaging and 3-D scanning

Golubović

Travica²,

Trajković³

et al. 2023

THERM SCI

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Fused deposition modeling is one of the most widely used 3-D printing technologies, among other additive manufacturing processes, because it is easy to use, can produce parts faster, and the cost of the finished part is low. Printing processes and finished parts are often studied and characterized using different techniques to collect mechanical, numerical, thermal and dimensional data, with the aim of improving and optimizing the result. The first part of this research is based on the observation of temperature changes with a thermal imaging camera during the fused deposition modeling printing process and during the cooling process after printing. Specimens of polylactic acid and polylactic acid-X improved with second-phase particles were prepared to compare the thermal and dimensional properties of the two materials. The obtained results determined the characteristic temperature behavior of the materials. In the second part of the research, a 3-D optical scanner was used to verify the stability and accuracy of the printed specimens over time. The proposed measurement period showed that stabilization of the parameters takes place, and further follow-up should be performed thereafter.

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Section: Introductionmentioning

confidence: 99%

Investigation of thermal and dimensional behavior of 3-D printed materials using thermal imaging and 3-D scanning

Golubović

Travica²,

Trajković³

et al. 2023

THERM SCI

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“…These methods require sample preparation through grinding and polishing, which not only damages the samples but also introduces measurement errors. Hence, the application of non-destructive testing (NDT) techniques, such as microwave [13,14], ultrasonic [15,16], X-ray [17,18], and thermal infrared technology [19,20] is undoubtedly a better choice for evaluating TBCs [21]. However, these methods have certain limitations that prevent precise testing in a stable environment.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2023

Coatings

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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.

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Progress and Trends in Non-destructive Testing for Thermal Barrier Coatings Based on Infrared Thermography: A Review

Zhu

Mao

et al. 2022

J Nondestruct Eval

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Experimental research on YSZ TBC structure debonding defect detection using long-pulsed excitation of infrared thermal wave non-destructive testing

Cited by 4 publications

References 12 publications

Investigation of thermal and dimensional behavior of 3-D printed materials using thermal imaging and 3-D scanning

Investigation of thermal and dimensional behavior of 3-D printed materials using thermal imaging and 3-D scanning

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

Progress and Trends in Non-destructive Testing for Thermal Barrier Coatings Based on Infrared Thermography: A Review

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