Three-dimensional pressure field measurement on turbine guide vanes using a dynamic distortion correction endoscopic pressure-sensitive paint technique

Dong, Zhe; Gu, Feng; Chen, Ruiyuan; Yang, Jie; Zhou, Wenwu; Liu, Yingzheng; Peng, Di

doi:10.1007/s00348-023-03643-6

Cited by 4 publications

(1 citation statement)

References 34 publications

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“…Nevertheless, Gao et al [20] described the big potential of the turbomachinery research linked to (linear) blade cascades for the application and development of the PSP technique. As, e.g., Marks et al [21], Gao et al [22], and Dong et al [23] have shown in steady inflow test cases, the knowledge of (unsteady) surface pressure enables a better understanding of complex aerodynamics like they may appear in a linear cascade, especially if the vortex interaction in the secondary flow regime is in focus. The author's motivation in choosing unsteady PSP to further resolve the surface dynamics of the wakes was raised by the experience of applying this experimental technique to answer turbomachinery-related research questions, compare Bitter et al [24][25][26].…”

Section: Introductionmentioning

confidence: 99%

Characterization of the Endwall Flow in a Low-Pressure Turbine Cascade Perturbed by Periodically Incoming Wakes, Part 2: Unsteady Blade Surface Measurements Using Pressure-Sensitive Paint

Schubert,

Kožulović,

Bitter

2024

Aerospace

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Unsteady pressure-sensitive paint (i-PSP) measurements were performed at a sampling rate of 30 kHz to investigate the near-endwall blade suction surface flow inside a low-pressure turbine cascade operating at engine-relevant high-speed and low-Re conditions. The investigation focuses on the interaction of periodically incoming bar wakes at 500 Hz with the secondary flow and the blade suction surface. The results build on extensive PIV measurements presented in the first part of this two-part publication, which captured the ’negative-jet-effect’ of the wakes throughout the blade passage. The surface pressure distributions are combined with CFD to analyze the flow topology, such as the passage vortex separation line. By analyzing data from phase-locked PIV and PSP measurements, a wake-induced moving pressure gradient negative in space and positive in time is found, which is intensified in the secondary flow region by 33% with respect to midspan. Furthermore, two methods of frequency-filtering based on FFT and SPOD are compared and utilized to associate a pressure fluctuation peak around 678 Hz with separation bubble oscillation.

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Section: Introductionmentioning

confidence: 99%

Characterization of the Endwall Flow in a Low-Pressure Turbine Cascade Perturbed by Periodically Incoming Wakes, Part 2: Unsteady Blade Surface Measurements Using Pressure-Sensitive Paint

Schubert,

Kožulović,

Bitter

2024

Aerospace

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A New 3D reconstruction method for pressure-sensitive paint measurements under limited optical access

Zhu,

Dong,

Tang

et al. 2025

Measurement

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Triple decomposition and sparse representation for noisy pressure-sensitive paint data

Kubota,

Takagi,

Ikami

et al. 2024

Physics of Fluids

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Triple decomposition is a powerful analytical method for a deep understanding of the flow structure by extracting the mean value, organized coherent motion, and stochastic part from a fluctuating quantity. Here, we perform the triple decomposition of the spatial two-dimensional data, especially pressure-sensitive paint (PSP) data, since the PSP method is widely used to measure the pressure distribution on a surface in wind tunnel testing. However, the PSP data measuring near atmospheric pressure contain significant noise, and this makes it difficult to conduct the decomposition. To construct phase-averaged data representing an organized coherent motion, we propose a relatively simple method based on a multi-dimensional scaling plot of the cosine similarity between each PSP datum. Then, the stochastic part is extracted by selecting phase-averaged data with an appropriate phase angle based on the similarity between the measurement and phase-averaged data, and the PSP data are successfully decomposed. Moreover, we consider sparse optimal sensor positions, in which the data are effectively represented, based on the stochastic part as a data-driven approach. The optimal sensor positions are determined as a combinatorial optimization problem and estimated using Fujitsu computing as a service digital annealer. We reconstruct the pressure distribution from the pressure data at the optimal sensor positions using the mean value, organized coherent motion, and stochastic part obtained from the triple decomposition. The root mean square error between the pressure measured by a pressure transducer and the reconstructed pressure obtained by the proposed method is small, even when the number of modes and sensor points is small. The application of PSP measurement is expected to expand further, and the framework for calculating triple decomposition and sparse representation based on the decomposition will be useful for detailed flow analysis.

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Three-dimensional pressure field measurement on turbine guide vanes using a dynamic distortion correction endoscopic pressure-sensitive paint technique

Cited by 4 publications

References 34 publications

Characterization of the Endwall Flow in a Low-Pressure Turbine Cascade Perturbed by Periodically Incoming Wakes, Part 2: Unsteady Blade Surface Measurements Using Pressure-Sensitive Paint

Characterization of the Endwall Flow in a Low-Pressure Turbine Cascade Perturbed by Periodically Incoming Wakes, Part 2: Unsteady Blade Surface Measurements Using Pressure-Sensitive Paint

A New 3D reconstruction method for pressure-sensitive paint measurements under limited optical access

Triple decomposition and sparse representation for noisy pressure-sensitive paint data

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