Numerical simulation of turbine internal cooling and conjugate heat transfer problems with Ra-based turbulance models

Date

2012

Author

Görgülü, İlhan

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The present study considers the numerical simulation of the different flow characteristics involved in the conjugate heat transfer analysis of an internally cooled gas turbine blade. Conjugate simulations require full coupling of convective heat transfer in fluid regions to the heat diffusion in solid regions. Therefore, accurate prediction of heat transfer quantities on both external and internal surfaces has the uppermost importance and highly connected with the performance of the employed turbulence models. The complex flow on both surfaces of the internally cooled turbine blades is caused from the boundary layer laminar-to-turbulence transition, shock wave interaction with boundary layer, high streamline curvature and sequential flow separation. In order to discover the performances of different turbulence models on these flow types, analyses have been conducted on five different experimental studies each concerned with different flow and heat transfer characteristics. Each experimental study has been examined with four different turbulence models available in the commercial software (ANSYS FLUENT13.0) to decide most suitable RANS-based turbulence model. The Realizable k-ε model, Shear Stress Transport k-ω model, Reynolds Stress Model and V2-f model, which became increasingly popular during the last few years, have been used at the numerical simulations. According to conducted analyses, despite a few unreasonable predictions, in the majority of the numerical simulations, V2-f model outperforms other first-order turbulence models (Realizable k-ε and Shear Stress Transport k-ω) in terms of accuracy and Reynolds Stress Model in terms of convergence.

Subject Keywords

Turbines, Turbines, Turbines, Turbulence, Computational fluid dynamics.

URI

http://etd.lib.metu.edu.tr/upload/12615000/index.pdf
https://hdl.handle.net/11511/21955

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Graduate School of Natural and Applied Sciences, Thesis