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    Improvements in the Prediction of Steady and Unsteady Transition and Mixing in Low-Pressure Turbines by Means of Machine-Learnt Closures 

    Source: Journal of Turbomachinery:;2024:;volume( 146 ):;issue: 005:;page 51009-1
    Author(s): Pacciani, Roberto; Marconcini, Michele; Arnone, Andrea; Bertini, Francesco; Spano, Ennio; Rosa Taddei, Simone; Sandberg, Richard D.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this article, novel machine-learnt transition and turbulence models are applied to the prediction of boundary-layer transition and wake mixing in a low-pressure turbine (LPT) cascade, including unsteady inflow cases ...
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