Composite Coating-Based Heat Flux Sensor for In Situ Heat Flux Monitoring of Hot-End Components

The control of thermal energy during the operation of aeroengine turbine blades in extreme environments is crucial for the reliability of the associated equipment. Among the key parameters influencing thermal energy transfer, heat flux density plays a significant role. The development of heat flux sensors on the surface of turbine blades enables real-time measurement of these critical parameters. However, extreme conditions of high temperature and pressure present challenges, such as the tendency for surface coatings on turbine blades to peel off and for insulation properties to degrade. To address these issues, we propose a composite process for the in situ preparation of high-temperature heat flux sensors. The composite gradient coating, applied via plasma spraying, ensures the reliability of the coating and enhances its insulating properties, with the insulation resistance reaching 20 k<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\Omega $ </tex-math></inline-formula> at a high temperature of 1100 °C. Additionally, curved, conformal high-temperature thin-film sensitive layer electrodes and thermal resistive layers are prepared in situ on the coating surface using physical vapor deposition (PVD). This method, characterized by nonintrusive flow and conformality, enables the measurement of heat flux up to 1.9 MW/m2, with a measurement error of less than ±2.5% FS. The proposed approach offers a feasible solution for the real-time monitoring of heat flux density parameters on blade surfaces in extreme environments.

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Publication Details

Journal
IEEE Sensors Journal
Published
2024-10-31
DOI
https://doi.org/10.1109/jsen.2024.3474923
Citations
4
Primary Topic
Advanced Sensor Technologies Research
Type
article
Field-Weighted Citation Impact
0.74
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article

Composite Coating-Based Heat Flux Sensor for In Situ Heat Flux Monitoring of Hot-End Components

Yuelong Li, Songyue Chen, Yingjun Zeng, Chenhe Shao et al.
4 citations
IEEE Sensors Journal
Advanced Sensor Technologies Research
0.74
article

Composite Coating-Based Heat Flux Sensor for In Situ Heat Flux Monitoring of Hot-End Components

Yuelong Li, Songyue Chen, Yingjun Zeng, Chenhe Shao, Fuxin Zhao, Qinnan Chen, Gonghan He, Daoheng Sun, Lanlan Li, Ye Qiao, Lida Xu, Peng Zhang, Yanzhang Fu
article en
4 citations

Abstract

The control of thermal energy during the operation of aeroengine turbine blades in extreme environments is crucial for the reliability of the associated equipment. Among the key parameters influencing thermal energy transfer, heat flux density plays a significant role. The development of heat flux sensors on the surface of turbine blades enables real-time measurement of these critical parameters. However, extreme conditions of high temperature and pressure present challenges, such as the tendency for surface coatings on turbine blades to peel off and for insulation properties to degrade. To address these issues, we propose a composite process for the in situ preparation of high-temperature heat flux sensors. The composite gradient coating, applied via plasma spraying, ensures the reliability of the coating and enhances its insulating properties, with the insulation resistance reaching 20 k<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\Omega $ </tex-math></inline-formula> at a high temperature of 1100 °C. Additionally, curved, conformal high-temperature thin-film sensitive layer electrodes and thermal resistive layers are prepared in situ on the coating surface using physical vapor deposition (PVD). This method, characterized by nonintrusive flow and conformality, enables the measurement of heat flux up to 1.9 MW/m2, with a measurement error of less than ±2.5% FS. The proposed approach offers a feasible solution for the real-time monitoring of heat flux density parameters on blade surfaces in extreme environments.

IEEE Sensors JournalVol. 24(24)
Xiamen University (CN), Xiamen University of Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 32%
Advanced Sensor Technologies Research
0.74
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