In-situ evaluation of porosity in thermal barrier coatings based on the broadening of terahertz time-domain pulses: simulation and experimental investigations

Ye, Dongdong; Wang, Weize; Zhou, Haiting; Huang, Jibo; Wu, Wenchao; Gong, Hanhong; Li, Zhen

doi:10.1364/oe.27.028150

Cited by 31 publications

(6 citation statements)

References 60 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…On the other hand, it seems to be a consensus that the practicality of machine learning and other deep learning methods is controversial due to their poor interpretability. In considering THz detection for solution-based samples, water molecules’ strong absorption to THz wave is a detrimental factor . The qualitative and quantitative detection of aqueous biological samples such as amino acids is mainly based on reflective THz-TDS systems, − where the short interaction length between the THz wave and solution results in THz spectra that contain only limited sample information.…”

Section: Introductionmentioning

confidence: 99%

“…In considering THz detection for solution-based samples, water molecules' strong absorption to THz wave is a detrimental factor. 16 The qualitative and quantitative detection of aqueous biological samples such as amino acids is mainly based on reflective THz-TDS systems, 17−20 where the short interaction length between the THz wave and solution results in THz spectra that contain only limited sample information. Periodical metamaterialbased THz sensors designed to improve the precision of THz detection have been proposed.…”

Section: ■ Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Weak Value Amplified Precision Terahertz Spectroscopic Detection of Solid and Liquid Glucose Samples

Lu,

Xu,

Luo

et al. 2023

ACS Photonics

View full text Add to dashboard Cite

A novel combination of terahertz time-domain spectroscopy (THz-TDS) and weak value amplification (WVA) is employed to quantify the glucose content of various forms, such as glucose thin films with concentrations from 0.01 to 0.10 mg/mL, glucose solutions with concentrations from 0.01 to 0.10 mg/mL, and glucose tablets with mass fraction varying from 5.0 to 10.0%, which drastically outperforms the classical THz-TDS detection technique. The small concentration and mass fraction changes of glucose samples in various forms that are beyond the traditional THz-TDS detection limit can be detected by the introduction of WVA. For glucose thin films and solutions, the minimum detectable concentration difference is 1−2 orders of magnitude lower and 1−4 orders of magnitude lower, respectively, than the previously accessible THz limits. The detectable mass fraction gradient of glucose tablets is comparable to that of previous studies, but the minimum detectable mass fraction in this work is lower. A general theoretical model to describe the preselected and postselected THz sensing system is established, and the polarization-dependent amplitude and phase evolution induced by changes in sample concentration or mass fraction are shown to correlate with the weak interaction between the THz photon and the target molecules in the WVA formalism. It is shown that WVA significantly suppresses the technical noise with respect to the intensity difference signal induced by the changes in sample concentration or mass fraction when the preselection and postselection procedures come into play. These findings may be favorable for highly sensitive THz detection, including minor changes in the parameters of the test object and interactions between biomolecules.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: ■ Introductionmentioning

confidence: 99%

Weak Value Amplified Precision Terahertz Spectroscopic Detection of Solid and Liquid Glucose Samples

Lu,

Xu,

Luo

et al. 2023

ACS Photonics

View full text Add to dashboard Cite

show abstract

“…In contrast, THz radiation can propose an effective contact-less and non-destructive approach for the characterization and control of ceramic porosity. Recently, using zirconium dioxide ceramic, Ye and co-workers proposed an in-situ evaluation of porosity in thermal barrier coatings based on temporal broadening of THz pulses [16]. They demonstrated that, as the porosity increased, the refractive index decreased and the extinction coefficient increased.…”

Section: Introductionmentioning

confidence: 99%

Non-destructive evaluation of ceramic porosity using terahertz time-domain spectroscopy

Hakobyan¹,

Hamdi²,

Redon³

et al. 2022

Journal of the European Ceramic Society

View full text Add to dashboard Cite

“…e thermal insulation performance of TBCs as well as their strain compliance required to accommodate the thermal expansion coefficient mismatch between metal and ceramic upper layers strongly depends on its porosity. Porosity can significantly affect the comprehensive performance of TBCs [2,3]. Hence, how to effectively characterize the microstructure is a mandatory requirement for optimizing TBCs performance, monitoring service life, and developing new TBCs [4,5].…”

Section: Introductionmentioning

confidence: 99%

Porosity Characterization of Thermal Barrier Coatings by Ultrasound with Genetic Algorithm Backpropagation Neural Network

Zhang

Guo

et al. 2021

Complexity

View full text Add to dashboard Cite

Porosity is considered as one of the most important indicators for the characterization of the comprehensive performance of thermal barrier coatings (TBCs). In this study, the ultrasonic technique and the artificial neural network optimized with the genetic algorithm (GA_BPNN) are combined to develop an intelligent method for automatic detection and accurate prediction of TBCs’s porosity. A series of physical models of plasma-sprayed ZrO2 coating are established with a thickness of 288 μm and porosity varying from 5.71% to 26.59%, and the ultrasonic reflection coefficient amplitude spectrum (URCAS) is constructed based on the time-domain numerical simulation signal. The characteristic features f 1 , f 2 , A max , Δ A of the URCAS, which are highly dependent on porosity, are extracted as input data to train the GA_BPNN model for predicting the unknown porosity. The average error of the prediction results is 1.45%, which suggests that the proposed method can achieve accurate detection and quantitative characterization of the porosity of TBCs with complex pore morphology.

show abstract

In-situ evaluation of porosity in thermal barrier coatings based on the broadening of terahertz time-domain pulses: simulation and experimental investigations

Cited by 31 publications

References 60 publications

Weak Value Amplified Precision Terahertz Spectroscopic Detection of Solid and Liquid Glucose Samples

Weak Value Amplified Precision Terahertz Spectroscopic Detection of Solid and Liquid Glucose Samples

Non-destructive evaluation of ceramic porosity using terahertz time-domain spectroscopy

Porosity Characterization of Thermal Barrier Coatings by Ultrasound with Genetic Algorithm Backpropagation Neural Network

Contact Info

Product

Resources

About