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    On the Application of Background Oriented Schlieren to a Transonic Low-Reynolds Turbine Cascade

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    turbo_147_5_051016.pdf (1.401Mb)
    Date
    2024
    Author
    Halby, Alexandre
    Cakir, Bora O.
    Da Valle, Lorenzo
    Lopes, Gustavo
    Okada, Mizuki
    Lavagnoli, Sergio
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    Abstract
    Qualitative and quantitative visualizations of transonic turbomachinery flows provide essential information on compressibility and Mach number effects on boundary layer development, shock-boundary layer interactions, and trailing edge flows. Background oriented Schlieren (BOS) is a relatively new optical technique that allows capturing unsteady density gradient fields through turbomachinery cascades and thus quantitative experimental data to validate transonic and supersonic blade designs. However, only very few experimental works in the open literature have successfully applied BOS to transonic turbine or compressor flows. The current study presents the application of BOS to a transonic low-pressure turbine cascade, the VKI SPLEEN C1 cascade for a range of Reynolds numbers (70,000–140,000) and transonic Mach numbers (0.90–1.00). The linear turbine cascade is tested at the von Karman Institute in the S-1/C high-speed wind tunnel. The test section is instrumented with different BOS optical setups to visualize the time-resolved density gradients through the turbine passage and at the trailing edge plane with dedicated field of views. The BOS images are processed using the classical cross-correlation algorithm, and the optical flow approach, recently introduced in BOS applications to gain spatial resolution and increased sensitivity. Steady-state density gradients of the cascade flow characterize the airfoil boundary layers, wakes, and shock waves. The results from the two data reduction methods are assessed and compared against available RANS CFD predictions. Time-resolved measurements reveal the low-frequency motion of weak shock waves generated in the blade passage using proper orthogonal decomposition (POD) and spectra analysis.
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    http://yetl.yabesh.ir/yetl1/handle/yetl/4306484
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