Author:
Del Rio A,Casartelli E,Mangani L,Roos Launchbury D
Abstract
Abstract
Swirling flow is a dominant feature in a significant number of technical applications. Hydraulic turbines at part-load are strongly affected by the related vortex rope phenomenon. Its dynamic behavior has a negative impact on the operating performance and durability of the machine.
CFD can be used to get additional insight in this complex phenomenon but requires a valid simulation model able to capture the relevant flow physics, which is driven by highly anisotropic turbulent structures. The simulation results are therefore strongly affected by the turbulence modeling. A swirl apparatus (AC6-14), for which extensive experimental data is available, is used in this work for the assessment and validation of different turbulence models. The state-of-the-art SST k-ω model, with and without curvature correction, is compared to a coupled full Reynolds stress model. All models are integrated into a pressure-based coupled flow solver.
The investigation revealed that both, SST k-ω with curvature correction and the full Reynolds stress model better predict the time-averaged velocity profiles in the diffuser compared to standard SST k-ω. The swirl component is thereby best captured with the Reynolds stress model. All models deliver a reasonable frequency spectrum for the dynamic behavior of the vortex rope. However, flow visualization shows that standard SST k-ω is not capable of predicting the shape and size of the vortex rope accordingly. Both, SST k-ω with curvature correction and the full Reynolds stress model, can be used in the future for more detailed flow investigations, which include also the assessment of flow control measures.
Reference19 articles.
1. Unsteady detached-eddy simulation (des) of the jetstream 31 aircraft in one engine inoperative (oei) condition with propeller modelling;Casadei;Aerospace Science and Technology,2019
2. Turbulence modeling in rotating and curved channels: assessing the spalart-shur correction;Shur;AIAA journal,2000
3. Sensitization of the sst turbulence model to rotation and curvature by applying the spalart-shur correction term;Smirnov;Turbo Expo: Power for Land, Sea, and Air,2008