ACTA AERONAUTICAET ASTRONAUTICA SINICA >
Flow control mechanism of diffuser cascade with wavy leading⁃edge based on causal network analysis
Received date: 2022-11-28
Revised date: 2022-12-23
Accepted date: 2023-03-13
Online published: 2023-04-14
Supported by
National Natural Science Foundation of China(52076179)
Separation and vortex motion are key factors limiting the performance improvement of compressors， while the wavy leading-edge can effectively expand the working range of the compressor. This study implements the wavy leading-edge shape on the diffuser cascade， and uses a multi-objective optimization algorithm to construct a wavy leading-edge that significantly reduces the stall point loss at the expense of minimum design point performance. A data mining method， causal network analysis， is used to investigate the flow mechanism of the internal flow field of the diffuser cascade with variation in the wavy leading-edge control parameters. The optimization results show that the strength of the leading-edge vortex pairs increases as the amplitude-wave ratio decreases， and that the stall point loss can be significantly reduced at the expense of minimum design point performance with the amplitude-wave ratio range within 0.05⁃0.15. The causal network model and flow field analysis verify that， from the vortex motion perspective， the wavy leading-edge generates leading-edge vortex pairs， and the development of the leading-edge vortex pairs weakens that of the channel vortex and trailing-edge vortex flow through different ways； from the separation perspective， the wavy leading-edge weakens the loss caused by the corner region separation by changing the leading-edge airflow inhomogeneity and secondary flow energy and improving the low-energy fluid blockage.
Jiezhong DONG , Wuli CHU , Haoguang ZHANG , Bo LUO , Song YAN . Flow control mechanism of diffuser cascade with wavy leading⁃edge based on causal network analysis[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2023 , 44(19) : 128336 -128336 . DOI: 10.7527/S1000-6893.2023.28336
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