Volume 10B: Turbomachinery — Axial Flow Turbine Aerodynamics; Deposition, Erosion, Fouling, and Icing; Radial Turbomachinery Ae 2022
DOI: 10.1115/gt2022-80681
|View full text |Cite
|
Sign up to set email alerts
|

Assessment of RANS Turbulence Models on Simplified Geometries Representative of Turbine Blade Tip Shroud Flow

Abstract: RANS turbulence models are assessed here in simulations of simplified configurations representative of geometries and flows found in tip shrouds of low-pressure turbines rotor blades. The complex flow inside a tip shroud is highly turbulent, its boundary layer separates at the sharp angled tangential fins and reattaches in the inter-fin cavity after a recirculation. The flow in the tip seal of the rotor blade, and the jet mixing flow at the exit of the shroud cause pressure losses and influence substantially t… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
0
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 31 publications
0
0
0
Order By: Relevance
“…The creation of this vortex structure can be attributed to the production of turbulent kinetic energy in the shear layer at the intersection of the two flows. Uncu et al [21] found a similar behaviour of overproduction of TKE for the k − l model in a jet in crossflow. It is worth mentioning the inlet turbulence decay for the RSM model in the channel which is not visible for the two other models according to the modelling choice.…”
Section: Purge Flow Influencementioning
confidence: 57%
“…The creation of this vortex structure can be attributed to the production of turbulent kinetic energy in the shear layer at the intersection of the two flows. Uncu et al [21] found a similar behaviour of overproduction of TKE for the k − l model in a jet in crossflow. It is worth mentioning the inlet turbulence decay for the RSM model in the channel which is not visible for the two other models according to the modelling choice.…”
Section: Purge Flow Influencementioning
confidence: 57%