journal article·2024-05-20Open access

Terahertz Nondestructive Measurement of Heat Radiation Performance of Thermal Barrier Coatings Based on Hybrid Artificial Neural Network

Zhou Xu, Changdong Yin, Yiwen Wu, Houli Liu, Haiting Zhou, Shuheng Xu, Jianfei Xu, Dongdong Ye

Coatings· Volume 14· Issue 5

Abstract

Effective control of the micro- and nanostructure of thermal barrier coatings is essential to enhance the thermal radiation performance of the coating, which helps to determine the remaining service life of the coating. This paper proposed a method to measure the radiation properties of thermal barrier coatings by terahertz nondestructive testing technique, using APS-prepared thermal barrier coatings as the object of study. Radiative properties were a comprehensive set of properties characterized by the diffuse reflectance, transmittance, and absorptance of the thermal barrier coating. The coating data in actual service were obtained by scanning electron microscopy and metallographic experiments, and the data were used as the simulation model critical value. The terahertz time-domain simulation data of coatings with different microstructural features were obtained using the finite-different time-domain (FDTD) method. In simulating the real test signals, white noise with a signal-to-noise ratio of 20 dB was added, and fast Fourier transform (FFT), short-time Fourier transform (STFT), and wavelet transform (WT) were used to reduce the noise and compare their noise reduction effects. Different machine learning methods were used to build the model, including support vector machine algorithm (SVM) and k-nearest neighbor algorithm (KNN). The principal component algorithm (PCA) was used to reduce the dimensionality of terahertz time-domain data, and the SVM algorithm and KNN algorithm were optimized using the particle swarm optimization algorithm (PSO) and the ant colony optimization algorithm (ACO), respectively, to improve the robustness of the system. The K-fold cross-validation method was used to construct the model to improve the adaptability of the model. It could be clearly seen that the novel hybrid PCA-ACO-SVM model had superior prediction performance. Finally, this work proposed a novel, convenient, nondestructive, online, safe and highly accurate method for measuring the radiation performance of thermal barrier coatings, which could be used for the judgment of the service life of thermal barrier coatings.
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Research context

OpenAlex topics: Spectroscopy and Laser Applications · Thermography and Photoacoustic Techniques · Terahertz technology and applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Electrical and Automation, Wuhu Institute of Technology, Wuhu 241006, China

Institute of Intelligent Manufacturing, Wuhu Institute of Technology, Wuhu 241006, China

Department of Quality and Safety Engineering, China Jiliang University, Hangzhou 310018, China

School of Artificial Intelligence, Anhui Polytechnic University, Wuhu 241000, China

Department of Automotive Engineering and Intelligent Manufacturing, Wanjiang College of Anhui Normal University, Wuhu 241008, China

Huzhou Key Laboratory of Terahertz Integrated Circuits and Systems, Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou 313001, China

Anhui Polytechnic University Industrial Innovation Technology Research Co., Ltd., Wuhu 241000, China

Funding

Science and Technology Plan Project of Wuhu City · 2023 Anhui Province Scientific Research Preparation Plan Project · Open Research Fund of Huzhou Key Laboratory of Terahertz Integrated Circuits and Systems · Key Research and Development Projects in Anhui Province · Anhui Institute of Future Technology Enterprise Cooperation Project · Natural Science Research Project of Wuhu Institute of Technology · State Administration for Market Regulation Science and Technology Plan Project

References (40)

Show source-provided references
1. Thermal barrier coatings: Review10.1016/j.matpr.2021.11.170 ↗
2. Thermal barrier coatings for gas-turbine engine applications10.1126/science.1068609 ↗
3. Thermal barrier coatings—A state of the art review10.1007/s12540-020-00705-w ↗
4. Thermal barrier coatings for aeroengine applications10.2514/1.20734 ↗
5. Stefan, A., Manoliu, V., and Cristea, G.C. (2023). Ceramic Coatings for High-Temperature Environments: From Thermal Barrier to Environmental Barrier Applications, Springer International Publishing.
6. Eldridge, J.I., Spuckler, C.M., Street, K.W., and Markham, J.R. (2002). 26th Annual Conference on Composites, Advanced Ceramics, Materials, and Structures: B: Ceramic Engineering and Science Proceedings, John Wiley & Sons, Inc.
7. Composite ceramics thermal barrier coatings of yttria stabilized zirconia for aero-engines10.1016/j.jmst.2019.08.003 ↗
8. Numerical simulation of steady state heat transfer in a ceramic-coated gas turbine blade10.1016/S0017-9310(02)00190-4 ↗
9. Modeling the thermal radiation properties of thermal barrier coatings based on a random generation algorithm10.1016/j.ceramint.2016.03.067 ↗
10. Radiative properties of thermal barrier coatings at high temperatures10.1088/0022-3727/42/15/155412 ↗
11. Microstructural effect on the radiative properties of YSZ thermal barrier coatings (TBCs)10.1016/j.ijheatmasstransfer.2014.01.063 ↗
12. Terahertz technology and its applications10.1016/j.dit.2013.03.009 ↗
13. Recent advances in terahertz imaging: 1999 to 202110.1007/s00340-021-07732-4 ↗
14. Cutting-edge terahertz technology10.1038/nphoton.2007.3 ↗
15. Materials for terahertz science and technology10.1038/nmat708 ↗
16. Advances of terahertz technology in neuroscience: Current status and a future perspective10.1016/j.isci.2021.103548 ↗
17. Wang, Q., Chen, Y., Mao, J., Yang, F., and Wang, N. (2023). Metasurface-Assisted Terahertz Sensing. Sensors, 23.10.3390/s23135902 ↗
18. Artificial intelligence, machine learning and deep learning in advanced robotics, a review10.1016/j.cogr.2023.04.001 ↗
19. Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network10.1038/s42256-023-00735-0 ↗
20. Machine learning: Algorithms, real-world applications and research direction10.1007/s42979-021-00592-x ↗
21. Terahertz based thickness measurement of thermal barrier coatings using long short-term memory networks and local extrema10.1109/TII.2021.3098791 ↗
22. Thermal radiation and conduction in functionally graded thermal barrier coatings. Part I: Experimental study on radiative properties10.1016/j.ijheatmasstransfer.2019.01.018 ↗
23. Non-destructive thickness measurement of thermal barrier coatings using terahertz radiation10.1007/s42247-021-00275-6 ↗
24. On hyperparameter optimization of machine learning algorithms: Theory and practice10.1016/j.neucom.2020.07.061 ↗
25. A Hybrid Machine Learning Model for Code Optimization10.1007/s10766-023-00758-5 ↗
26. Ye, D., Wang, W., Yin, C., Xu, Z., Fang, H., Huang, J., and Li, Y. (2020). Nondestructive Evaluation of Thermal Barrier Coatings Interface Delamination Using Terahertz Technique Combined with SWT-PCA-GA-BP Algorithm. Coatings, 10.10.3390/coatings10090859 ↗
27. Ye, D., Xu, Z., Pan, J., Yin, C., Hu, D., Wu, Y., Li, R., and Li, Z. (2021). Prediction and Analysis of the Grit Blasting Process on the Corrosion Resistance of Thermal Spray Coatings Using a Hybrid Artificial Neural Network. Coatings, 11.10.3390/coatings11111274 ↗
28. Li, R., Ye, D., Xu, Z., Yin, C., Xu, H., Zhou, H., Yi, J., Chen, Y., and Pan, J. (2022). Nondestructive Evaluation of Thermal Barrier Coatings Thickness Using Terahertz Time-Domain Spectroscopy Combined with Hybrid Machine Learning Approaches. Coatings, 12.10.3390/coatings12121875 ↗
29. Xu, Z., Ye, D., Chen, J., and Zhou, H. (2020). Novel Terahertz Nondestructive Method for Measuring the Thickness of Thin Oxide Scale Using Different Hybrid Machine Learning Models. Coatings, 10.10.3390/coatings10090805 ↗
30. Neural network-based hybrid signal processing approach for resolving thin marine protective coating by terahertz pulsed imaging10.1016/j.oceaneng.2018.12.051 ↗
31. Thin thermally grown oxide thickness detection in thermal barrier coatings based on SWT-BP neural network algorithm and terahertz technology10.1364/AO.392748 ↗
32. Terahertz nondestructive testing of refractive index and thickness of thermal barrier coating10.3901/JME.2021.20.047 ↗
33. Xu, Z., Xu, S., Zhang, Q., Xu, J., and Ye, D. (2023). Effect of Pore Evolution on Thermal Diffusivity and Radiation Characteristics of Thermal Barrier Coatings after High-Temperature Exposures. Coatings, 13.10.3390/coatings13101675 ↗
34. Machine learning and deep learning in chemical health and safety: A systematic review of techniques and applications10.1021/acs.chas.0c00075 ↗
35. Principal component analysis10.1002/wics.101 ↗
36. PCA dimensionality reduction method for image classification10.1007/s11063-021-10632-5 ↗
37. Evolving data-adaptive support vector machines for binary classification10.1016/j.knosys.2021.107221 ↗
38. The nearest neighbor algorithm of local probability centers10.1109/TSMCB.2007.908363 ↗
39. Analysis of the mean absolute error (MAE) and the root mean square error (RMSE) in assessing rounding model10.1088/1757-899X/324/1/012049 ↗
40. Evaluation of empirical models for predicting monthly mean horizontal diffuse solar radiation