4.3 Article

Numerical Investigations on Effect of Inflow Parameters on Development of Secondary Flow Field for Linear Low-Pressure Turbine Cascade

Journal

Publisher

ASME
DOI: 10.1115/1.4056093

Keywords

computational fluid dynamics (CFD); low-pressure turbine cascade; secondary flow; inflow parameters; loss coefficient

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This study investigates the endwall flow in a low-speed low-pressure linear turbine cascade vane using numerical simulations. Different secondary flow patterns are analyzed, and a suitable turbulence model is selected. The computational results are validated against experimental data and show good agreement. The study also examines the influence of flow incidence and turbulence intensity on the endwall flow field.
Endwall flows contribute the most crucial role in loss generation for axial flow turbine and compressor blades. These losses lead to modifying the blade loading and overall performance in terms of stable operating range. The present study aimed to determine the endwall flow streams in a low-speed low-pressure linear turbine cascade vane using a numerical approach. The study includes two sections. The first section includes an attempt to understand different secondary flow streams available at the endwall. The location of the horseshoe vortex and subsequent vortex patterns are identified in the section. The selection of a suitable turbulence model among shear stress transport (SST) k-? and SST ?-? to identify endwall flow streams is studied prior to the section. The steady-state numerical study is performed using Reynolds Averaged Navier-Stokes equations closed by the SST ?-? turbulence model. The computational results are validated with experimental results available in the literature and are found to be in good agreement. The study is extended for different inflow conditions in a later section. The second section includes the effect of flow incidence and turbulence intensity on the endwall secondary flow field. Four different inflow incidences are considered for the study. The inlet turbulence intensities are varied by 1% and 10% for each case. The results revealed different secondary flow patterns at an endwall and found the change in behavior with inflow conditions. SST ?-? turbulence model with lower turbulence intensity is more suitable to identify such flow behavior.

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