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Dissertation
Development of CFD-Based Tip Clearance Loss and Deviation Models for Axial-Flow Turbines
(2020-01)
Accurate loss correlations are crucial for reliable turbine performance predictions with low-fidelity tools. However, conventional tip clearance models disregard some important loss effects, e. g. from the relative motion between blades and endwall, and their natural spanwise distributions, which are valuable for through-flow methods. The objective of this thesis is the development of more realistic tip clearance models by means of high-fidelity CFD simulations, which capture all three-dimensional flow effects and ...