Numerical analysis of secondary airflow in a rotating cavity of a gas‐turbine at high operating points with vortex reducer implementation

Mucci, Alberto; Kholi, Foster Kwame; Sibilli, Thierry; Min, June Kee; Ha, Man Yeong; Cho, Geon Hwan

doi:10.1007/s00231-021-03029-6

Cited by 7 publications

(1 citation statement)

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“…To reduce the pressure drop, Du et al [27] attempted to improve the fin profile. Sibilli et al [28] and Mucci et al [29] reduced the local pressure drop at the tube inlet by tilting the tubes. However, it should be noted that simple optimization cannot fundamentally tackle the defects of traditional vortex reducers.…”

Section: Introductionmentioning

confidence: 99%

Experimental and Numerical Investigation of a Novel Vortex Reducer in a Co-Rotating Cavity of Aeroengines

Shen,

Wang,

Wang

et al. 2024

Aerospace

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Improving airflow pressure is of great significance for the cooling and sealing of aeroengines. In a co-rotating cavity with radial inflow, vortex reducers are used to decrease the pressure drop. However, the performance of traditional vortex reducers is limited by their drag reduction mechanism and cannot meet the needs of next-generation aeroengines. In this study, a novel vortex reducer (NVR) consisting of de-swirl shroud orifices and fins is proposed. Meanwhile, a design strategy is developed to ensure the NVR provides steady airflow and excellent drag reduction performance. Furthermore, experiments and numerical simulations are utilized to investigate the flow characteristics and drag reduction mechanism of the NVR. The results reveal that the de-swirl jets created by the de-swirl shroud orifices limit the enhancement of the Ekman layers at large radii, while the fins break down the high-speed vortices at small radii. Compared to a traditional finned vortex reducer with identical fins, the pressure drop of the NVR is relatively reduced by 28.52%. Specifically, the pressure drop of the NVR is monotonous in the operating range, indicating its suitability for engineering. Finally, a surrogate model and particle swarm optimization (PSO) are utilized to identify the optimal parameters of the de-swirl shroud orifices in the design range. This study provides a potential solution for the design of next-generation vortex reducers.

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Section: Introductionmentioning

confidence: 99%