Pressure-sensitive paint measurements with temperature correction on the wing of AGARD-B under transonic flow conditions

Huang, Chuanjun; Lin, Yu-Hsuan; Huang, Yi; Chung, Kung Ming

doi:10.1088/1361-6501/ac0073

Cited by 13 publications

(5 citation statements)

References 21 publications

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“…have a shorter lifetime compared to PtTFPP-based PSPs, and both are suitable for intensity-and lifetime-based measurements using digital cameras. This is why tris-(4,7′-diphenyl-1,10-phenanthroline) ruthenium (II) is often applied in a porous binder like anodised aluminium (AA) [179][180][181], ceramic polymers [182][183][184][185], or other highly porous substrates such as thin-layer chromatography plates [186] to achieve fast-response PSPs required, e.g., for the measurement of transient shock phenomena. In recent years, pyrene derivatives such as pyrene sulfonic acid have also been used for fast-response measurements on anodized aluminium.…”

Section: Pressure-sensitive Paintsmentioning

confidence: 99%

The Art of Fluorescence Imaging with Chemical Sensors: The Next Decade 2012–2022

Schäferling,

Ondrus

2024

Chemosensors

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Imaging methods by the means of optical sensors are applied in diverse scientific areas such as medical research and diagnostics, aerodynamics, environmental analysis, or marine research. After a general introduction to the field, this review is focused on works published between 2012 and 2022. The covered topics include planar sensors (optrodes), nanoprobes, and sensitive coatings. Advanced sensor materials combined with imaging technologies enable the visualization of parameters which exhibit no intrinsic color or fluorescence, such as oxygen, pH, CO2, H2O2, Ca2+, or temperature. The progress on the development of multiple sensors and methods for referenced signal read out is also highlighted, as is the recent progress in device design and application formats using model systems in the lab or methods for measurements’ in the field.

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Section: Pressure-sensitive Paintsmentioning

confidence: 99%

The Art of Fluorescence Imaging with Chemical Sensors: The Next Decade 2012–2022

Schäferling,

Ondrus

2024

Chemosensors

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“…Juliano et al proposed a single-shot, lifetime-based PSP technique [2] used on rotating blades with high pressure sensitivity requirement. Huang et al obtained the flow fields and pressure distributions at various angles of attack from 0 • to 8 • by applying a mesoporous PSP sensor to a wing of AGARD-B wing and a TSP sensor to the other wing, with the aim of the temperature data by TSP sensor employed for temperature correction in PSP experiments [3]. Quinn and Fisher [4] putted forward a method of simultaneously obtaining surface pressure distribution and measuring the surface shape over an aerodynamic model, without the risk of damaging PSP coating.…”

Section: Introductionmentioning

confidence: 99%

A deep-learning image registration method for pressure-sensitive paint measurements

Di,

Gu,

Liu

et al. 2024

Meas. Sci. Technol.

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Image registration is an essential step in the data processing of pressure-sensitive paint (PSP) measurements. As PSP technology is gradually expanded to increasingly harsh environments, it faces challenges such as severe image misalignment due to model deformations/motions, which pose difficulties to traditional featurebased registration algorithms. To improve registration accuracy and efficiency, we propose an end-to-end image registration method based on deep learning. Initially, a PSP dataset based on PSP images is constructed through data augmentation. Three types of residual network and three training strategies are then adopted to prepare the deep-learning model for automatic image registration. The optimal combination of the residual network and training strategy is selected for validation using fabricated PSP images and outperforms two traditional algorithms (i.e., the Sift and Watershed methods). Finally, the performance of the deep-learning method is compared with that of traditional algorithms adopting a new metric of the overlapping rate for assessing the registration accuracy on experimental PSP images. The results show that the deep learning method outperforms the traditional algorithms in terms of registration accuracy and robustness.

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“…As a result of an a-priori/in-situ hybrid calibration method, the measured pressure distribution agreed well with the distributions measured using pressure scanners. Huang et al [33] applied PSP and TSP to the thin delta wings of Advisory Group for Aerospace Research and Development Model B and applied simple pixel-by-pixel correction for the temperature effect. The lift coefficient calculated with the measured pressure distribution agreed well with the CFD simulation results.…”

Section: Introductionmentioning

confidence: 99%

Lifetime based pressure and temperature sensitive paint measurement on a civil aircraft wing under conditions near the onset of shock-induced separation

Sugioka,

Nakajima,

Nakakita

2023

Meas. Sci. Technol.

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Lifetime-based pressure- and temperature-sensitive paint (PSP and TSP) measurements were conducted in a large-scale industrial transonic wind tunnel to obtain high-quality pressure data for validation of computational fluid dynamics (CFD) simulations. A wind tunnel test was performed using the NASA common research model in the JAXA 2 m × 2 m transonic wind tunnel. The freestream Mach number was varied in the range of 0.70–0.89, and aerodynamic forces and moments were acquired in order to obtain the pitch break condition related to the onset of shock-induced separation. Polymer-based PSP was coated on a main wing of the model, and TSP was used in tandem with PSP to correct the temperature dependence of PSP. The two-gate lifetime-based method was applied to obtain the PSP and TSP emissions. An a-priori/in-situ hybrid calibration was conducted to convert ratio-of-ratios to pressure, and measured pressure distributions were mapped onto a three-dimensional (3D) model grid. The root-mean-square error for the pressure measurements was evaluated by pressure tap data and was approximated to be 0.8 kPa for all Mach numbers tested. The obtained pressure distributions exhibited a significantly high signal-to-noise ratio and were used for comparison with CFD results on a 3D grid. The high-spatial-resolution PSP measurements helped to accurately localize the differences from the CFD simulation results and showed that the prediction of the shock location along the main wing is still a relevant challenge.

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Pressure-sensitive paint measurements with temperature correction on the wing of AGARD-B under transonic flow conditions

Cited by 13 publications

References 21 publications

The Art of Fluorescence Imaging with Chemical Sensors: The Next Decade 2012–2022

The Art of Fluorescence Imaging with Chemical Sensors: The Next Decade 2012–2022

A deep-learning image registration method for pressure-sensitive paint measurements

Lifetime based pressure and temperature sensitive paint measurement on a civil aircraft wing under conditions near the onset of shock-induced separation

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