Abstract
The complex vortex structures in the flow around turbine rotor passages, with weak or strong, large or small vortices, interacting with each other, often generate most of aerodynamic loss in turbomachines. Therefore, it is important to identify the vortex structures accurately for the flow field analysis and the aerodynamic performance optimization for turbomachines. In this paper, by using 4 vortex identification methods (the Q criterion, the Ω method, the Liutex method and the Ω-Liutex method), the vortices are identified in turbine rotor passages. In terms of the threshold selection, the results show that the Ω method and the Q-Liutex method are more robust, by which strong and weak vortices can be visualized simultaneously over a wide range of thresholds. As for the display consistency of the vortex identification methods and the streamlines, it is shown that the Liutex method gives results coinciding best with the streamlines in identifying strong vortices, while the Ω-Liutex method gives results the most consistent with the streamlines in identifying weak vortices. As to the relationship among the loss, the vortices and the shear, except for the Q criterion, the other three methods can distinguish the vortical regions from the high shear regions. And the flow losses in turbine rotor passages are often related to high shear zones, while there is a small loss within the core of the vortex. In order to obtain the variation of vortices in the turbine rotor passages at different working points, the Liutex method is applied in 2 cases of a turbine with different angles of attack. The identification results show that the strengths of the tip leakage vortex and the upper passage vortex are weaker and the distance between them is closer at a negative angle of attack. This indicates that the Liutex method is an effective method, and can be used to analyze the vortex structures and their evolution in turbine rotor passages.
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Acknowledgements
This work is accomplished by using the code RortexUTA and the code Omega-LiutexUTA which are released by Chaoqun Liu at University of Texas at Arlington.
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Project supported by the National Natural Science Foundation of China (Grant No. 51406003).
Biography: Yu-fan Wang (1997-), Male, Master Candidate
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Wang, Yf., Zhang, Wh., Cao, X. et al. The applicability of vortex identification methods for complex vortex structures in axial turbine rotor passages. J Hydrodyn 31, 700–707 (2019). https://doi.org/10.1007/s42241-019-0046-9
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DOI: https://doi.org/10.1007/s42241-019-0046-9