CFD-based design of optical diagnostic techniques for turbine vane testing

Aye-Addo, Nyansafo; Andreoli, Valeria; Long, Nicholas J.; Paniagua, Guillermo

doi:10.2514/6.2019-4086

Cited by 2 publications

(1 citation statement)

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“…The rig includes four windows spaced across four sectors. These windows are used to route instrumentation and allow optical access for flow visualization, PIV, PSP, and IR thermography [19]. The test section also has three traverse slots at different axial locations downstream of the stator and/or rotor geometries test article.…”

Section: Annular Test-section Characterizationmentioning

confidence: 99%

Uncertainty in High-Pressure Stator Performance Measurement in an Annular Cascade at Engine-Representative Reynolds and Mach

Bhatnagar

Paniagua

Cuadrado

et al. 2021

Journal of Engineering for Gas Turbines and Power

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The betterment of the turbine performance plays a prime role in all future transportation and energy production systems. Precise uncertainty quantification of experimental measurement of any performance differential is therefore essential for turbine development programs. In this paper, the uncertainty analysis of loss measurements in a high-pressure turbine vane are presented. Tests were performed on a stator geometry at engine representative conditions in a new annular turbine module called BRASTA (Big Rig for Annular Stationary Turbine Analysis) located within the Purdue Experimental Turbine Aerothermal Lab. The aerodynamic probes are described with emphasis on their calibration and uncertainty analysis, first considering single point measurement, followed by the spatial averaging implications. The change of operating conditions and flow blockage due to measurement probes are analyzed using CFD, and corrections are recommended on the measurement data. The test section and its characterization are presented, including calibration of the sonic valve. The sonic valve calibration is necessary to ensure a wide range of operation in Mach and Reynolds. Finally, the vane data are discussed, emphasizing their systematic and stochastic uncertainty.

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Section: Annular Test-section Characterizationmentioning

confidence: 99%