PETRONIO D.

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With the aim of improving the predicting capability of current correlation-based transition models, a new correlation for transition in separated flows is presented, which is based only on local quantities. The peak value of the vorticity-based Reynolds number at the detachment position has been chosen as a local indicator of the boundary layer...

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This work presents a machine-learning (ML) strategy for the identification of the design region that guarantees minimum losses for Low Pressure Turbine (LPT) blades, allowing the definition of the optimal blade shape. The data-driven procedure is twofold. Firstly, an advanced loss-correlation model (M1) that describes the LPT efficiency as a...

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This work provides new correlations based on local variables for characterizing the transition process developing in the case of separated flows. The goal is to improve the capability of correlation-based transition models through the use of local variables. This may indeed simplify the implementation of the correlations into modern numerical...

In this work, machine learning techniques are exploited to train a new model based on Pope's tensorial bases, where the common definition of the turbulent viscosity is extended to define the Reynolds stress tensor as an expansion of strain-rate and rotation tensors. Specifically, a Sparse Bayesian approach has been implemented to provide new...

In the present work linear and non-linear regression functions have been tuned with an extensive database describing the unsteady aerodynamic efficiency of low-pressure-turbine cascades. The learning strategy has been first defined using a dataset published in a previous work concerning the loss coefficient measured in a large-scale cascade for...

The paper presents a detailed analysis of particle image velocimetry (PIV) measurements performed in a turbine cascade representative of highly accelerated low-pressure turbine (LPT) blades. Two cameras have been simultaneously used to observe a great portion of the suction side boundary layer with the highest possible spatial resolution, thus...

The paper presents a detailed analysis of particle image velocimetry (PIV) measurements performed in a turbine cascade representative of highly accelerated low-pressure turbine (LPT) blades. Two cameras have been simultaneously used to observe a great portion of the suction side boundary layer with the highest possible spatial resolution, thus...

In the present work, an Hot-Wire Anemometer and a five-hole pressure probe have been used to characterize the incoming flow of a large-scale turbine cascade. Measurements have been carried out to sample the flow in both spanwise and pitchwise directions, hence allowing a complete characterization of total pressure, mean velocity, turbulence...

In the present work, Proper Orthogonal Decomposition (POD) has been applied to Large Eddy Simulations (LES) of two high-loaded low-pressure turbine cascade operating under unsteady inflow for the detailed investigation of the entropy production in the different part of the blade passage. To this end, the Turbulent Kinetic Energy (TKE)...