Analysis of the Flow Capacity of Variable Cycle Split Fans at the Middle Speed

Guangfeng An, Rui Zhou, Xianjun Yu (), Baojie Liu and Guanghan Wu
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Guangfeng An: Research Institute of Aero-Engine, Beihang University, Beijing 102206, China
Rui Zhou: Research Institute of Aero-Engine, Beihang University, Beijing 102206, China
Xianjun Yu: Research Institute of Aero-Engine, Beihang University, Beijing 102206, China
Baojie Liu: Research Institute of Aero-Engine, Beihang University, Beijing 102206, China
Guanghan Wu: Research Institute of Aero-Engine, Beihang University, Beijing 102206, China

Energies, 2024, vol. 17, issue 5, 1-18

Abstract: The next-generation variable cycle engine imposes stricter requirements on a fan’s flow capacity at the middle speed. To tackle this challenge, the implementation of split fans presents as a potential solution. In the present study, we conducted numerical simulations using the commercial software NUMECA to investigate the aerodynamic performance variation with bypass ratios for variable cycle split fans in “1 + 2” and “2 + 1” configurations at 80% rpm. The results indicate that the flow capacity of the split fans exhibits an increasing trend with a rise in the bypass ratio at 80% rpm and subsequently stabilizes upon reaching a certain bypass ratio. Specifically, the flow capacity of the “2 + 1” split fans is particularly stronger at the small bypass ratios, whereas the “1 + 2” split fans exhibit superior maximum flow capacity at the high bypass ratios. Additionally, there is a significantly faster increase in the flow capacity of the “1 + 2” split fans compared to that of the “2 + 1” split fans. Furthermore, when the flow capacity of the split fans reaches its maximum, both the efficiency and stall margin achieve their optimal values, indicating that the corresponding bypass ratio is optimal.

Keywords: variable cycle split fans; compressor configuration; maximum flow capacity; optimal bypass ratio (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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