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RISThe Impact of Inlet Distortion and Reduced Frequency on the Performance of Centrifugal Compressors
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This paper discusses the impact of inlet flow distortions on centrifugal compressors based upon a large experimental data base in which the performance of several impellers in a range of corrected flows and corrected speeds ...
Investigation of the Accuracy of RANS Models to Predict the Flow Through a Low Pressure Turbine
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In the present paper, direct numerical simulation (DNS) data of a lowpressure turbine (LPT) are investigated in light of turbulence modeling. Many compressible turbulence models use Favreaveraged transport equations of the ...
High Fidelity Simulations of Low Pressure Turbines: Effect of Flow Coefficient and Reduced Frequency on Losses
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Large eddy simulations validated with the aid of direct numerical simulation (DNS) are used to study the concerted action of reduced frequency and flow coefficient on the performance of the T106A lowpressure turbine profile. ...
Highly Resolved Large Eddy Simulation Study of Gap Size Effect on Low-Pressure Turbine Stage
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Blade-to-blade interactions in a low-pressure turbine (LPT) were investigated using highly resolved compressible large eddy simulations (LESs). For a realistic setup, a stator and rotor configuration with profiles typical ...
Applying Machine Learnt Explicit Algebraic Stress and Scalar Flux Models to a Fundamental Trailing Edge Slot
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Machine learning was applied to large-eddy simulation (LES) data to develop nonlinear turbulence stress and heat flux closures with increased prediction accuracy for trailing-edge cooling slot cases. The LES data were ...
Development and Use of Machine-Learnt Algebraic Reynolds Stress Models for Enhanced Prediction of Wake Mixing in Low-Pressure Turbines
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Nonlinear turbulence closures were developed that improve the prediction accuracy of wake mixing in low-pressure turbine (LPT) flows. First, Reynolds-averaged Navier–Stokes (RANS) calculations using five linear turbulence ...
On the Identification and Decomposition of the Unsteady Losses in a Turbine Cascade
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The present paper describes the application of proper orthogonal decomposition (POD) to large eddy simulation (LES) of the T106A low-pressure-turbine profile with unsteady incoming wakes at two different flow conditions. ...
Development and Use of Machine-Learnt Algebraic Reynolds Stress Models for Enhanced Prediction of Wake Mixing in Low-Pressure Turbines
Publisher: American Society of Mechanical Engineers (ASME)
Abstract: Nonlinear turbulence closures were developed that improve the prediction accuracy of wake mixing in low-pressure turbine (LPT) flows. First, Reynolds-averaged Navier–Stokes (RANS) calculations using five linear turbulence ...