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Thermal-Fluid-Solid Coupling-Parametrical Numerical Analysis of Hot Turbine Nozzle Guide Vane
Marcin Froissart1, Tomasz Ochrymiuk1
1Institute of Fluid-Flow Machinery, Polish Academy of Sciences, 14 Fiszera Street, 80-231 Gdańsk, Poland.
This study clarifies turbine vane cooling by simulating with room temperature inlets and analyzing k-ω SST model effects. Viscous heating significantly increases vane temperature, impacting thermal load predictions.
Area of Science:
- Turbomachinery
- Computational Fluid Dynamics (CFD)
- Heat Transfer
Background:
- Hot turbine components require advanced cooling for durability.
- Leading/trailing edges of turbine blades face corrosion and fatigue.
- Accurate thermal load prediction is vital for nozzle guide vane life assessment.
Purpose of the Study:
- To resolve inconsistencies in turbine vane cooling simulations due to unspecified coolant temperatures.
- To investigate the impact of various k-ω SST model options on thermal predictions.
- To analyze the effect of turbulent Prandtl number variations on cooling performance.
Main Methods:
- Utilized a fine mesh model with room inlet temperature for all cooling channels.
- Examined k-ω SST (shear-stress transport) model features: Viscous Heating (VH), Curvature Correction (CC), Production Kato-Launder (KT), Production Limiter (PL).
- Modified turbulent Prandtl number using Wassel/Catton and Kays/Crawford correlations and compared one, two, and four-equation viscosity models.
Main Results:
- Viscous heating (VH) was the most significant factor, increasing local vane temperature by up to 40°C.
- Turbulent Prandtl number variations also showed notable impact on thermal load predictions.
- Different viscosity models yielded varying results, highlighting the importance of model selection.
Conclusions:
- The study provides a more consistent approach to simulating turbine vane cooling.
- Viscous heating is a critical parameter that must be accurately accounted for in CFD simulations.
- Further research into optimal turbulent Prandtl number and viscosity models is warranted for improved turbine component life prediction.
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